1. Deploy the auto-discovery-cloud-aws helm chart on AWS EKS


    In order to deploy a Helm chart on AWS EKS using Pulumi, we will need to take the following steps:

    1. Setup an Amazon EKS cluster: We'll begin by defining a new EKS cluster using the eks.Cluster Pulumi component. This high-level component bundles together the configuration of Kubernetes resources and AWS infrastructure that EKS requires.

    2. Deploy the Helm Chart: After the EKS cluster is running, we will deploy the auto-discovery-cloud-aws Helm chart to the cluster. We are assuming that this Helm chart is available in a public or private Helm repository. We'll use the kubernetes.helm.v3.Chart resource to do this which represents a Helm chart in a Pulumi program.

    Here's a TypeScript program accomplishing these steps. Ensure you have Pulumi and AWS CLI installed and configured before running this program.

    import * as pulumi from "@pulumi/pulumi"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster const myCluster = new eks.Cluster("myCluster", { // Define the size and type of the cluster, these are example values. desiredCapacity: 2, minSize: 1, maxSize: 2, instanceType: "t2.medium", // Optional: If you need to define specific version of Kubernetes, uncomment below // version: "1.18", }); // Export the clusters' kubeconfig. export const kubeconfig = myCluster.kubeconfig; // Step 2: Deploy the Helm chart to the EKS cluster // Note: We need to use a provider that understands that these resources belong to the EKS cluster that was just created. const provider = new k8s.Provider("k8sProvider", { kubeconfig: myCluster.kubeconfig.apply(JSON.stringify), }); // Deploy the Helm chart const helmChart = new k8s.helm.v3.Chart("autoDiscoveryCloudAwsChart", { chart: "auto-discovery-cloud-aws", // Define the Helm repository where the chart is located // This is an example value, you will need to replace with the actual repo URL or name. // If the chart is in a public Helm repository, specify `repo` with the repository URL // If the chart is in a private Helm repository, additional configurations for repository access might be needed fetchOpts: { repo: "https://charts.example.com/" }, // Optional: Any custom values for the Helm chart can be defined here // values: { // serviceType: "LoadBalancer", // }, }, { provider }); // Export the Helm chart deployment status export const chartStatus = helmChart.status;

    Here's what each piece of code is doing:

    • We create an EKS cluster with the eks.Cluster resource which abstracts away many of the complexities of setting up an EKS cluster.
    • We output the kubeconfig which is needed to interact with the cluster using kubectl or any Kubernetes client library. This is sensitive information and typically it should be protected.
    • We then create a Kubernetes provider with the kubeconfig of the newly-created EKS cluster.
    • We define the Helm chart we want to deploy using the k8s.helm.v3.Chart resource. You'll have to specify the Helm chart details such as the chart name and optionally the repo where the chart is hosted, and any custom values you require for your Helm chart configuration.
    • We export the status of the Helm chart using chartStatus to display the deployment outcome.

    Before running this Pulumi program, you'll need to do the following:

    1. Install Pulumi: Visit Pulumi's Installation Guide.
    2. Configure AWS: Set up your AWS credentials via the AWS CLI or through Pulumi's AWS configuration.

    To apply the Pulumi program, navigate to the directory with the index.ts file and run:

    pulumi up

    During the execution, Pulumi will display the status of resources being created and eventually provide you with a summary of the EKS cluster and Helm chart deployments. If the Helm chart auto-discovery-cloud-aws requires additional configuration or is hosted in a private repository, you will need to provide the corresponding values in the Helm chart definition or set up access to the repository as needed.