Kubernetes Cluster

Cluster level overview of workloads deployed, based on prometheus metrics exposed by kubelet, node-exporter, nginx ingress controller

Kubernetes Cluster screenshot 1
<p>Updated from <a href="/dashboards/4018">https://grafana.com/dashboards/4018</a> for use with</p> <ul> <li>Kubernetes v1.10.~</li> <li><a href="https://hub.docker.com/r/prom/prometheus/" target="_blank" rel="noopener noreferrer">Prometheus v2.3.1</a></li> <li><a href="https://hub.docker.com/r/prom/node-exporter/" target="_blank" rel="noopener noreferrer">Prometheus Node Exporter v0.16.0</a></li> <li><a href="https://quay.io/kubernetes-ingress-controller/nginx-ingress-controller:0.15.0" target="_blank" rel="noopener noreferrer">Nginx Ingress Controller 0.15.0</a></li> <li><a href="https://quay.io/coreos/kube-state-metrics:v1.3.1" target="_blank" rel="noopener noreferrer">Kube State Metrics v1.3.1</a></li> </ul> <p>Shows basic stuff about</p> <ul> <li>cluster health (pod status count, pod restarts etc.)</li> <li>cluster nodes (cpu, memory, storage etc.)</li> <li>running pods (cpu, memory etc.)</li> <li>nginx ingress controller (connections, resp time)</li> </ul> <p>intended for a starting point for looking at and debugging cluster health / performance</p>
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Kubernetes

Kubernetes

by Grafana Labs
Grafana Labs solution

Monitor your Kubernetes deployment with prebuilt visualizations that allow you to drill down from a high-level cluster overview to pod-specific details in minutes.

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