# Prometheus and Grafana installation - NGINX Ingress Controller

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# Prometheus and Grafana installation

This tutorial will show you how to install Prometheus and Grafana for scraping the metrics of the NGINX Ingress controller.

Important

This example uses `emptyDir` volumes for Prometheus and Grafana. This means once the pod gets terminated you will lose all the data.

## Before You Begin

The NGINX Ingress controller should already be deployed according to the deployment instructions here.

Note that the kustomize bases used in this tutorial are stored in the deploy folder of the GitHub repository kubernetes/ingress-nginx.

## Deploy and configure Prometheus Server

The Prometheus server must be configured so that it can discover endpoints of services. If a Prometheus server is already running in the cluster and if it is configured in a way that it can find the ingress controller pods, no extra configuration is needed.

If there is no existing Prometheus server running, the rest of this tutorial will guide you through the steps needed to deploy a properly configured Prometheus server.

Running the following command deploys prometheus in Kubernetes:

    kubectl apply --kustomize github.com/kubernetes/ingress-nginx/deploy/prometheus/

### Prometheus Dashboard

Open Prometheus dashboard in a web browser:

    kubectl get svc -n ingress-nginx
    NAME                   TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)                                      AGE
    default-http-backend   ClusterIP   10.103.59.201   <none>        80/TCP                                       3d
    ingress-nginx          NodePort    10.97.44.72     <none>        80:30100/TCP,443:30154/TCP,10254:32049/TCP   5h
    prometheus-server      NodePort    10.98.233.86    <none>        9090:32630/TCP                               1m

Obtain the IP address of the nodes in the running cluster:

    kubectl get nodes -o wide

In some cases where the node only have internal IP addresses we need to execute:

    kubectl get nodes --selector=kubernetes.io/role!=master -o jsonpath={.items[*].status.addresses[?\(@.type==\"InternalIP\"\)].address}
    10.192.0.2 10.192.0.3 10.192.0.4

Open your browser and visit the following URL: http://{node IP address}:{prometheus-svc-nodeport} to load the Prometheus Dashboard.

According to the above example, this URL will be http://10.192.0.3:32630

### Grafana

    kubectl apply --kustomize github.com/kubernetes/ingress-nginx/deploy/grafana/

    kubectl get svc -n ingress-nginx
    NAME                   TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)                                      AGE
    default-http-backend   ClusterIP   10.103.59.201   <none>        80/TCP                                       3d
    ingress-nginx          NodePort    10.97.44.72     <none>        80:30100/TCP,443:30154/TCP,10254:32049/TCP   5h
    prometheus-server      NodePort    10.98.233.86    <none>        9090:32630/TCP                               10m
    grafana                NodePort    10.98.233.87    <none>        3000:31086/TCP                               10m

Open your browser and visit the following URL: http://{node IP address}:{grafana-svc-nodeport} to load the Grafana Dashboard. According to the above example, this URL will be http://10.192.0.3:31086

The username and password is `admin`

After the login you can import the Grafana dashboard from official dashboards