Dashboards

Apollo GraphQL metrics. Mutations/errors/operations.

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.

A comprehensive overview dashboard for monitoring Argo Workflows deployments. Provides high-level metrics across all workflows and pods including current phase counts, completion rates, success/failure rates, operation durations, and pod lifecycle metrics. Use this dashboard to identify trends, spot anomalies, and drill down into specific namespaces. The dashboards were generated using [argo-workflows-mixin](https://github.com/adinhodovic/argo-workflows-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors ArgoCD with a focus on the applications of ArgoCD. The dashboards were generated using [argo-cd-mixin](https://github.com/adinhodovic/argo-cd-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors ArgoCD with a focus on the notifications. The dashboards were generated using [argo-cd-mixin](https://github.com/adinhodovic/argo-cd-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors ArgoCD with a focus on the operational side of ArgoCD. The dashboards were generated using [argo-cd-mixin](https://github.com/adinhodovic/argo-cd-mixin). Open issues and create feature requests in the repository.

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.

Borg Backups dashboard for the Borg-exporter.

A dashboard that monitors Celery. It is created using the Celery-mixin for the the (Celery-exporter)[https://github.com/danihodovic/celery-exporter]

A dashboard to monitor Celery tasks grouped by task name. The dashboards were generated using [celery-exporter](https://github.com/danihodovic/celery-exporter). Open issues and create feature requests in the repository.

A dashboard that gives an overview of Celery. The dashboards were generated using [celery-exporter](https://github.com/danihodovic/celery-exporter). Open issues and create feature requests in the repository.

A dashboard that monitors Django model operations (inserts, updates, deletes) using ExportModelOperationsMixin. The dashboards were generated using [Django-mixin](https://github.com/adinhodovic/django-mixin). Open issues and create feature requests in the repository.

A landing dashboard for Django services with request health, latency, database activity, cache effectiveness, and drill-down links into high-traffic views. Use it to spot application-wide regressions before moving into the request, view, or model dashboards. The dashboards were generated using [Django-mixin](https://github.com/adinhodovic/django-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Django which focuses on breaking down requests by view. The dashboards were generated using [Django-mixin](https://github.com/adinhodovic/django-mixin). Open issues and create feature requests in the repository.

A request-focused Django dashboard with traffic mix, success rates, latency percentiles, ranked view tables, exceptions, and links into per-view drilldowns. Use it to find which views are driving load or user-facing errors. The dashboards were generated using [Django-mixin](https://github.com/adinhodovic/django-mixin). Open issues and create feature requests in the repository.

Detailed downstream connection monitoring for Envoy proxy. Tracks client-facing metrics including request rates, latency percentiles (P50/P95/P99), success rates, active connections, connection lifecycle events, bandwidth usage, and request reset patterns for each HTTP connection manager. Use this dashboard to analyze client behavior, diagnose connection issues, monitor ingress traffic patterns, and identify potential DDoS or abuse scenarios. Supports multi-prefix selection for comparative analysis. The dashboards were generated using [envoy-mixin](https://github.com/adinhodovic/envoy-mixin). Open issues and create feature requests in the repository.

A comprehensive overview dashboard for monitoring Envoy proxy deployments. Provides high-level metrics across all upstreams and downstreams including request rates, latency percentiles, success rates, active connections, and SSL certificate expirations. Use this dashboard to identify trends, spot anomalies, and drill down into specific upstream clusters or downstream connection managers. The dashboards were generated using [envoy-mixin](https://github.com/adinhodovic/envoy-mixin). Open issues and create feature requests in the repository.

Detailed upstream cluster monitoring for Envoy proxy. Tracks request rates, latency distributions (P50/P95/P99), success rates, connection health, circuit breaker status, retry behavior, and timeout patterns for each upstream cluster. Use this dashboard to troubleshoot backend service issues, identify performance bottlenecks, and monitor cluster health across all Envoy pods. Supports multi-cluster selection for comparative analysis. The dashboards were generated using [envoy-mixin](https://github.com/adinhodovic/envoy-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Envoy Gateway with a focus on Kubernetes objects and XDS updates. The dashboards were generated using [envoy-mixin](https://github.com/adinhodovic/envoy-mixin). Open issues and create feature requests in the repository.

Go runtime health dashboard covering CPU, memory, garbage collection, scheduling, contention, and file descriptor pressure. The dashboards were generated using [go-mixin](https://github.com/adinhodovic/go-mixin). Open issues and create feature requests in the repository.

An overview of Headscale metrics including nodes (registration method, routes, lifecycle), users (by provider), and access management (API keys, pre-auth keys usage, reusability, and expiry). 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.

A dashboard that monitors Ingress-nginx. It is created using the (Ingress-Nginx-mixin)[https://github.com/adinhodovic/ingress-nginx-mixin]

A dashboard that monitors Ingress-nginx. It is created using the (Ingress-Nginx-mixin)[https://github.com/adinhodovic/ingress-nginx-mixin]

A dashboard that monitors the Cluster Autoscaler. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Kubernetes and focuses on giving a overview for horizontal pod autoscalers. It is created using the [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin).

A dashboard that monitors Karpenter and focuses on Karpenter deletion/creation activity. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors current Karpenter node costs and spot savings based on cloud provider offering metrics. These values are estimated instance prices, not billing data. For deeper cost analysis, deploy OpenCost (https://github.com/opencost/opencost) and opencost-mixin (https://github.com/adinhodovic/opencost-mixin/). The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Karpenter and focuses on giving an overview for Karpenter. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Karpenter performance metrics. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors KEDA Scaled Jobs. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors KEDA Scaled Objects. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Kubernetes and focuses on giving a overview for pod disruption budgets. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Vertical Pod Autoscalers. The dashboards were generated using [kubernetes-autoscaling-mixin](https://github.com/adinhodovic/kubernetes-autoscaling-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Kubernetes Events and focuses on giving a overview for events. A pre requisite is configuring Loki, Alloy and Prometheus - it is described in this blog post: https://hodovi.cc/blog/kubernetes-events-monitoring-with-loki-alloy-and-grafana/. The dashboards were generated using [kubernetes-events-mixin](https://github.com/adinhodovic/kubernetes-events-mixin). Open issues and create feature requests in the repository.

A dashboard that monitors Kubernetes Events and focuses on giving a timeline for events. A pre requisite is configuring Loki, Alloy and Prometheus - it is described in this blog post: https://hodovi.cc/blog/kubernetes-events-monitoring-with-loki-alloy-and-grafana/. The dashboards were generated using [kubernetes-events-mixin](https://github.com/adinhodovic/kubernetes-events-mixin). Open issues and create feature requests in the repository.

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.

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.

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.

A dashboard that monitors RabbitMQ. It is created using the (rabbitmq-mixin)[https://github.com/adinhodovic/rabbitmq-mixin].

A dashboard that monitors Syncthing. The dashboards were generated using [syncthing-mixin](https://github.com/adinhodovic/syncthing-mixin). Open issues and create feature requests in the repository.

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.

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.

A dashboard that monitors Vault. It is created using the [vault-mixin](https://github.com/adinhodovic/vault-mixin). For an in-depth view of Go runtime internals (CPU, memory, GC, scheduling, contention, file descriptor pressure), pair this dashboard with the [Go / Overview dashboard](https://grafana.com/grafana/dashboards/25063-go-overview/) from the [go-mixin](https://github.com/adinhodovic/go-mixin) project.