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Use Grafana Dashboard

Grafana provides an elegant graphical user interface to visualize data. You can create beautiful dashboard easily with a meaningful representation of your Prometheus metrics in Grafana.

To keep Grafana resources isolated, we will use a separate namespace monitoring.

$ kubectl create ns monitoring
namespace/monitoring created

Deploy Grafana

Below the YAML for deploying grafana using a Deployment.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: grafana
  namespace: monitoring
  labels:
    app: grafana
spec:
  replicas: 1
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      containers:
      - name: grafana
        image: grafana/grafana:5.3.1

Let's create the deployment we have shown above,

$ kubectl apply -f https://raw.githubusercontent.com/appscode/third-party-tools/master/monitoring/grafana/artifacts/grafana.yaml
deployment.apps/grafana created

Wait for grafana pod to goes in running state,

$ kubectl get pod -n monitoring -l=app=grafana
NAME                       READY   STATUS    RESTARTS   AGE
grafana-7f594dc9c6-xwkf2   1/1     Running   0          3m22s

Grafana is running on port 3000. We will forward this port to access grafana UI. Run following command on a separate terminal,

$ kubectl port-forward -n monitoring grafana-7f594dc9c6-xwkf2 3000
Forwarding from 127.0.0.1:3000 -> 3000
Forwarding from [::1]:3000 -> 3000

Now, we can access grafana UI in localhost:3000. Use username: admin and password:admin to login to the UI.

Cleanup

To cleanup the Kubernetes resources created by this tutorial, run:

kubectl delete -n monitoring deployment grafana
kubectl delete ns monitoring