Configure Grafana in an AWS EKS cluster

Deploy Grafana to the EKS cluster:

Grafana is a popular open-source dashboard and visualization tool that can be used to monitor your Kubernetes clusters. You can deploy Grafana to your EKS cluster using a Kubernetes manifest file or a tool like Helm.

Here are the high-level steps to deploy Grafana to your EKS cluster:

1. Create a Kubernetes namespace for Grafana

2. Deploy the Grafana server as a Kubernetes Deployment

3. Create a Service to expose Grafana server

Here is an example of a Kubernetes manifest file that deploys Grafana to an EKS cluster:

apiVersion: v1

kind: Namespace

metadata:

name: grafana

---

apiVersion: apps/v1

kind: Deployment

metadata:

name: grafana

namespace: grafana

spec:

replicas: 1

selector:

matchLabels:

app: grafana

template:

metadata:

labels:

app: grafana

spec:

containers:

- name: grafana

image: grafana/grafana:latest

ports:

- containerPort: 3000

env:

- name: GF_SERVER_HTTP_PORT

value: "3000"

volumeMounts:

- name: grafana-pvc

mountPath: /var/lib/grafana

volumes:

- name: grafana-pvc

persistentVolumeClaim:

claimName: grafana-pvc

---

apiVersion: v1

kind: Service

metadata:

name: grafana

namespace: grafana

spec:

selector:

app: grafana

ports:

- name: http

port: 80

targetPort: 3000

type: LoadBalancer

This manifest creates a Kubernetes namespace called grafana, deploys a Grafana server as a Kubernetes Deployment, and exposes it through a Kubernetes Service of type LoadBalancer.

Configure Grafana with Prometheus data source: Once you have deployed Grafana to your EKS cluster, you can configure it to use Prometheus as a data source. Here are the high-level steps to configure Grafana with Prometheus:

Access the Grafana web interface

Add Prometheus as a data source

Create a dashboard to visualize Prometheus metrics

To access the Grafana web interface, you can use the external IP address of the LoadBalancer service that you created in the previous step. Once you have accessed the web interface, you can add Prometheus as a data source by following these steps:

Click on the "Configuration" icon on the left sidebar

Click on "Data Sources"

Click on "Add data source"

Select "Prometheus" from the list of data sources

Enter the URL of your Prometheus server (e.g., https://prometheus-server.prometheus.svc.cluster.local)

Click on "Save & Test"

Once you have added Prometheus as a data source, you can create a dashboard to visualize Prometheus metrics. Grafana comes with a number of pre-built dashboards for Kubernetes and Prometheus metrics, but you can also create your own custom dashboards. Here are the high-level steps to create a dashboard:

Click on the "Create" icon on the left sidebar

Select "Dashboard"

Click on "Add panel"

Select the type of visualization you want to use (e.g., Graph)

Select the Prometheus data source

Enter the Prometheus query you want to visualize (e.g., sum(kube_pod_container_resource_requests_cpu_cores) by (pod))

Customize the visualization settings as needed

Click on "Save