1. Deploy the docker-registry-proxy helm chart on AWS EKS


    To deploy the docker-registry-proxy helm chart on AWS Elastic Kubernetes Service (EKS), we need to create an EKS cluster and then use Pulumi's Helm support to deploy the chart to that cluster. We'll create the following resources:

    1. An EKS cluster, which is a managed Kubernetes service on AWS.
    2. An instance of eks.Cluster from Pulumi's EKS package, which simplifies creating an EKS cluster.
    3. The helm.v3.Chart resource to deploy the docker-registry-proxy Helm chart onto our EKS cluster.

    Here's a step-by-step guide on how to do this using Pulumi with TypeScript:

    Step 1: Create an EKS Cluster

    First, we'll create an EKS cluster with the required configuration such as the VPC and subnet IDs. You'll need to specify this configuration based on your AWS environment setup.

    Step 2: Define the Kubernetes Helm Chart

    After the cluster is up and running, we'll define the Helm chart for docker-registry-proxy. You'll need to provide information on the Helm chart repository and version you are looking to deploy.

    Pulumi Program

    Let’s go through the Pulumi program that deploys the docker-registry-proxy chart to an AWS EKS cluster:

    import * as pulumi from "@pulumi/pulumi"; import * as awsx from "@pulumi/awsx"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster. const vpc = new awsx.ec2.Vpc("vpc", { numberOfAvailabilityZones: 2, // Availability Zones for fault tolerance }); const cluster = new eks.Cluster("eks-cluster", { vpcId: vpc.id, subnetIds: vpc.publicSubnetIds, instanceType: "t2.medium", // Instance type for the EKS worker nodes desiredCapacity: 2, // Number of worker nodes minSize: 1, maxSize: 3, enabledClusterLogTypes: ["api", "audit", "authenticator", "controllerManager", "scheduler"], // Additional settings can be specified as needed. }); // Step 2: Deploy the docker-registry-proxy Helm chart. const dockerRegistryProxyChart = new k8s.helm.v3.Chart("docker-registry-proxy", { chart: "docker-registry-proxy", version: "0.1.0", // Specify the chart version namespace: "default", fetchOpts: { repo: "https://your-helm-chart-repository/", // Specify the Helm chart repository URL }, // Set values for the Helm chart as needed. values: { // Your docker-registry-proxy Helm chart values go here }, }, { provider: cluster.provider }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig;

    Here's what each part of the program does:

    • VPC Creation: Set up a new VPC for our EKS cluster with awsx.ec2.Vpc. It's set to create the VPC across two availability zones for better fault tolerance.

    • EKS Cluster Creation: The eks.Cluster creates an EKS cluster, including worker nodes of instance type t2.medium. It specifies the desired capacity of nodes as well as the VPC configuration using the previously created VPC. This includes enabling certain log types for the EKS cluster.

    • Helm Chart Deployment: The k8s.helm.v3.Chart resource deploys the docker-registry-proxy Helm chart into the EKS cluster we created. It specifies the Helm chart to use and sets the chart values. The Helm chart repository URL and the version number need to be specified according to the Helm chart details.

    • Kubeconfig Export: At the end, the program exports the kubeconfig of the EKS cluster, so you can directly use kubectl to interact with your Kubernetes cluster.

    All the resources are created in the default Pulumi stack, which manages the deployment state. After running this program using Pulumi, the AWS EKS cluster will be set up and the docker-registry-proxy Helm chart will be deployed onto the EKS cluster. You can then use the exported kubeconfig to access your Kubernetes cluster as needed.

    Make sure to replace placeholder values such as https://your-helm-chart-repository/ with actual information specific to your use case.

    To run this Pulumi program, you need to have Pulumi installed and AWS credentials configured on your system. The program is written in TypeScript, so ensure that you have Node.js installed. Save the code to a file like index.ts, run npm install to fetch the dependencies, and then execute the Pulumi CLI commands like pulumi up to deploy your infrastructure.