Integrating Grafana With Managed Prometheus Services in Kubernetes

Integrating Grafana with Managed Prometheus Services in Kubernetes

In this guide, we will integrate Grafana with managed Prometheus services in a Kubernetes cluster using Pulumi. The key services involved are Kubernetes, Prometheus, and Grafana. We will deploy Prometheus to monitor our Kubernetes cluster and then set up Grafana to visualize the metrics collected by Prometheus.

Step-by-Step Explanation

1. Set up the Kubernetes Cluster

   • Ensure you have a Kubernetes cluster running. You can use any managed Kubernetes service like EKS, AKS, or GKE.

2. Deploy Prometheus

   • Use the Prometheus Operator to deploy Prometheus in your Kubernetes cluster. The Prometheus Operator simplifies the configuration and management of Prometheus instances.
   • Create a namespace for Prometheus.
   • Deploy the Prometheus Operator and Prometheus instance.

3. Deploy Grafana

   • Create a namespace for Grafana.
   • Deploy Grafana using a Helm chart.
   • Configure Grafana to use Prometheus as a data source.

4. Access Grafana Dashboard

   • Expose the Grafana service using a LoadBalancer or Ingress.
   • Access the Grafana dashboard and start visualizing your metrics.

Summary

In this guide, we integrated Grafana with managed Prometheus services in a Kubernetes cluster using Pulumi. We deployed Prometheus to monitor our Kubernetes cluster and set up Grafana to visualize the metrics collected by Prometheus. This setup helps in monitoring and visualizing the performance and health of your Kubernetes applications.

Full Code Example

import * as pulumi from "@pulumi/pulumi";
import * as k8s from "@pulumi/kubernetes";

// Create a namespace for Prometheus
const prometheusNamespace = new k8s.core.v1.Namespace("prometheus-namespace", {
    metadata: { name: "prometheus" },
});

// Deploy Prometheus using Helm chart
const prometheus = new k8s.helm.v3.Chart("prometheus", {
    chart: "kube-prometheus-stack",
    version: "16.12.0",
    fetchOpts: {
        repo: "https://prometheus-community.github.io/helm-charts",
    },
    namespace: prometheusNamespace.metadata.name,
});

// Create a namespace for Grafana
const grafanaNamespace = new k8s.core.v1.Namespace("grafana-namespace", {
    metadata: { name: "grafana" },
});

// Deploy Grafana using Helm chart
const grafana = new k8s.helm.v3.Chart("grafana", {
    chart: "grafana",
    version: "6.17.4",
    fetchOpts: {
        repo: "https://grafana.github.io/helm-charts",
    },
    namespace: grafanaNamespace.metadata.name,
    values: {
        datasources: {
            "datasources.yaml": {
                apiVersion: 1,
                datasources: [
                    {
                        name: "Prometheus",
                        type: "prometheus",
                        url: "http://prometheus-server.prometheus.svc.cluster.local",
                        access: "proxy",
                        isDefault: true,
                    },
                ],
            },
        },
    },
});

// Expose Grafana service using Ingress
const grafanaIngress = new k8s.networking.v1.Ingress("grafana-ingress", {
    metadata: {
        name: "grafana",
        namespace: grafanaNamespace.metadata.name,
        annotations: {
            "kubernetes.io/ingress.class": "nginx",
        },
    },
    spec: {
        rules: [
            {
                host: "grafana.example.com",
                http: {
                    paths: [
                        {
                            path: "/",
                            pathType: "Prefix",
                            backend: {
                                service: {
                                    name: "grafana",
                                    port: { number: 80 },
                                },
                            },
                        },
                    ],
                },
            },
        ],
    },
});

// Export the Grafana URL
export const grafanaUrl = pulumi.interpolate\`http://\${grafanaIngress.metadata.name}.example.com\`;