# Prometheus and Grafana installation This tutorial will show you how to install [Prometheus](https://prometheus.io/) and [Grafana](https://grafana.com/) 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](../deploy/index.md). Note that the yaml files used in this tutorial are stored in the [deploy/monitoring](https://github.com/kubernetes/ingress-nginx/tree/master/deploy/monitoring) folder of the GitHub repository [kubernetes/ingress-nginx](https://github.com/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 the prometheus configuration in Kubernetes: ```console kubectl create -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/master/deploy/monitoring/configuration.yaml configmap "prometheus-configuration" created ``` Running the following command deploys prometheus in Kubernetes: ```console kubectl create -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/master/deploy/monitoring/prometheus.yaml clusterrole "prometheus-server" created serviceaccount "prometheus-server" created clusterrolebinding "prometheus-server" created deployment "prometheus-server" created service "prometheus-service" created ``` ### Prometheus Dashboard Open Prometheus dashboard in a web browser: ```console kubectl get svc -n ingress-nginx NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default-http-backend ClusterIP 10.103.59.201 80/TCP 3d ingress-nginx NodePort 10.97.44.72 80:30100/TCP,443:30154/TCP,10254:32049/TCP 5h prometheus NodePort 10.98.233.86 9090:32630/TCP 1m ``` Obtain the IP address of the nodes in the running cluster: ```console kubectl get nodes -o wide ``` In some cases where the node only have internal IP adresses we need to execute: ```console 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 ![Dashboard](../images/prometheus-dashboard.png) ### Grafana ```console kubectl create -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/master/deploy/monitoring/grafana.yaml ``` ```console kubectl get svc -n ingress-nginx NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default-http-backend ClusterIP 10.103.59.201 80/TCP 3d ingress-nginx NodePort 10.97.44.72 80:30100/TCP,443:30154/TCP,10254:32049/TCP 5h prometheus NodePort 10.98.233.86 9090:32630/TCP 10m grafana NodePort 10.98.233.86 9090:31086/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 _https://github.com/kubernetes/ingress-nginx/tree/master/deploy/grafana/dashboards_ ![Dashboard](../images/grafana.png)