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DevOpsProdigy KubeGraf

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Kubernetes plugin for Grafana

An updated version of the Grafana App for Kubernetes plugin (, this plugin allows you to visualize and analyze your Kubernetes cluster’s performance. It demonstrates in graphics the main service metrics and characteristics of the Kubernetes cluster. It also makes it easier to examine the application’s life cycle and error logs.


  1. Grafana > 5.0.0
  2. Prometheus + node-exporter + kube-state-metrics (version >= 1.4.0)
  3. Grafana-piechart-panel


The plugin consists of three main info pages with detailed information about the Kubernetes cluster.

Applications overview

  • Logic map of applications;
  • Distribution of Kubernetes entities;
  • List of pod entities with life metrics;
  • Visual presentation of the application’s life cycle and its basic characteristics;
  • Description of the ports that allow access services in the cluster.

Pic. 1: Applications overview

Cluster status

  • Summary about the status of the cluster and the nodes within it;
  • Details of monitoring the application’s life cycle;
  • Visual presentation of where the services in the cluster servers are located.

Pic. 2: Cluster status

Nodes overview

  • Summary of cluster’s nodes;
  • Information about used and allocated resources (RAM, CPU utilization) and the number of pods;
  • Physical distribution of pods.

Pic. 3: Nodes overview


Besides providing general information on the main pages, the plugin allows you to track a cluster’s performance in graphs, which are located on five dashboards.

  • node dashboard

This is a dashboard with node metrics. It displays the employment of resources like CPU utilization, memory consumption, percentage of CPU time in idle / iowait modes, and disk and network status.

Pic. 4: Node dashboard

  • pod resources

Displays how much of the resources the selected pod has used.

Pic. 5: Pod resources

  • deployment dashboard

Pic. 6: Deployment dashboard

Pic. 7: Deployment dashboard

  • statefulsets dashboard
  • daemonsets dashboard

The above three dashboards show the number of available / unavailable application replicas and the status of containers in the pods of these applications, and trace containers’ restarts.


  1. Go to the plugins directory in Grafana:

    cd $GRAFANA_PATH/data/plugins

  2. Copy the repository:

    git clone /var/lib/grafana/plugins/devopsprodigy-kubegraf-app and restart grafana-server


    grafana-cli plugins install devopsprodigy-kubegraf-app and restart grafana-server.

  3. Create namespace "kubegraf" and apply Kubernetes manifests from kubernetes/ directory to give required permissions to the user grafana-kubegraf:

    kubectl create ns kubegraf
    kubectl apply -f
    kubectl apply -f
    kubectl apply -f
    kubectl apply -f
  4. Create a grafana-kubegraf user private key and certificate on one of the master nodes:

    openssl genrsa -out ~/grafana-kubegraf.key 2048
    openssl req -new -key ~/grafana-kubegraf.key -out ~/grafana-kubegraf.csr -subj "/CN=grafana-kubegraf/O=monitoring"
    openssl x509 -req -in ~/grafana-kubegraf.csr -CA /etc/kubernetes/pki/ca.crt -CAkey /etc/kubernetes/pki/ca.key -out /etc/kubernetes/pki/grafana-kubegraf.crt -CAcreateserial

    Copy /etc/kubernetes/pki/grafana-kubegraf.crt to all other master nodes.


    Get the token

    kubectl get secret grafana-kubegraf-secret -o jsonpath={.data.token} -n kubegraf | base64 -d
  5. Go to /configuration-plugins in Grafana and click on the plugin. Then click “enable”.

  6. Go to the plugin and select “create cluster”.

  7. Enter the settings of http-access to the Kubernetes api server:

    • Kubernetes master's url from kubectl cluster-info
    • Enter the certificate and key from step #4 "TLS Client Auth" section Or The token from step #4 in "Bearer token access" section
  8. Open the “additional datasources” drop-down list and select the prometheus that is used in this cluster.