1. Deploy the redis-monitoring helm chart on AWS EKS


    To deploy a Redis monitoring Helm chart on an AWS EKS cluster using Pulumi, we will complete several tasks:

    1. Create an EKS Cluster: We'll define an EKS cluster resource. An EKS cluster is the foundation for running Kubernetes on AWS and will host our Redis application and its monitoring tools.

    2. Deploy the Redis Monitoring Helm Chart: We'll use Pulumi's Helm support to deploy the Redis and corresponding monitoring chart onto the EKS cluster.

    Here is a step-by-step program written in TypeScript that will create an EKS cluster and deploy a Redis monitoring Helm chart to it:

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS Cluster const vpc = new aws.ec2.Vpc("vpc", { cidrBlock: "", tags: { Name: "pulumi-eks-vpc", }, }); const subnet = new aws.ec2.Subnet("subnet", { vpcId: vpc.id, cidrBlock: "", tags: { Name: "pulumi-eks-subnet", }, }); const cluster = new eks.Cluster("cluster", { vpcId: vpc.id, subnetIds: [subnet.id], instanceType: "t2.medium", desiredCapacity: 2, minSize: 1, maxSize: 2, deployDashboard: false, }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig; // Step 2: Deploy the Redis Monitoring Helm Chart const redisChart = new k8s.helm.v3.Chart("redis", { chart: "redis", version: "10.5.7", namespace: "default", fetchOpts: { repo: "https://charts.bitnami.com/bitnami" }, // You can define values based on the Helm chart's available settings. values: { metrics: { enabled: true, serviceMonitor: { enabled: true, // Adjust additional ServiceMonitor settings if necessary. }, }, }, }, { provider: cluster.provider }); // When using Helm charts, the best practice is to export relevant endpoints (e.g. Redis access endpoints, monitoring UI access).

    Key Points of the Program:

    • The program begins by importing the required Pulumi packages for AWS, EKS, and Kubernetes.
    • A new VPC and subnet are created which will be used by the EKS cluster for network isolation and communication with other AWS services.
    • An EKS cluster, cluster, is instantiated. This is where your Kubernetes deployments will run. The cluster is configured with some basic parameters, like VPC and subnet IDs, instance types, and scaling configurations.
    • We then export the kubeconfig which is necessary for interacting with your cluster using kubectl.
    • Finally, we deploy the Redis Helm chart into our EKS cluster using the k8s.helm.v3.Chart resource. This includes enabling metrics and deploying ServiceMonitor for monitoring purposes.

    Next Steps After Deployment:

    1. Use the exported kubeconfig with your kubectl command-line tool to interact with your cluster.
    2. Monitor the deployed Redis instance using the monitoring tools installed by the Helm chart.
    3. Scale, upgrade, or manage the Redis deployment as per the requirements.

    Remember to replace the version of the Redis Helm chart if a different one is preferred or if your requirements demand specific configurations within the values object.

    For more details, you may refer to the Pulumi documentation: