1. Deploy the ververica-platform-crd helm chart on AWS EKS


    To deploy the Ververica Platform Community Edition using Helm on an AWS EKS cluster with Pulumi, you will need to:

    1. Set up an Amazon EKS cluster.
    2. Configure an ECR repository if your application requires custom Docker images.
    3. Install the Helm chart for Ververica Platform.

    Below is a program written in TypeScript that demonstrates these steps.

    Program Explanation

    • EKS Cluster: We'll begin by creating an EKS cluster using Pulumi's eks package. This cluster will be where we deploy our applications.
    • ECR Repository: If needed, we will set up an Elastic Container Registry (ECR) Repository to store Docker images. Ververica Platform might require custom images based on your application needs.
    • Ververica Platform Helm Chart: Finally, we'll deploy the Ververica Platform Helm chart to our EKS cluster using the kubernetes package.

    Each resource will include documentation links for further reading.

    Let's start with our TypeScript program:

    import * as eks from '@pulumi/eks'; import * as awsx from '@pulumi/awsx'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Create an EKS cluster const cluster = new eks.Cluster('ververica-cluster', { instanceType: 't2.medium', // For smaller workloads; you may need larger instance based on your needs desiredCapacity: 2, // Desired number of instances in the EKS cluster minSize: 1, // Minimum number of instances maxSize: 3, // Maximum number of instances storageClasses: 'gp2', // The default gp2 storage class }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig; // Step 2: Set up an ECR repository (optional, uncomment if needed) /* const repository = new awsx.ecr.Repository('ververica-repo', { imageTagMutability: "MUTABLE", // Specifies whether images are mutable or immutable. }); // Export the ECR repository URL. export const repositoryUrl = repository.repositoryUrl; */ // Step 3: Deploy the Ververica Platform Helm chart const ververicaChart = new k8s.helm.v3.Chart('ververica-platform-chart', { chart: 'ververica-platform', // The name of the chart version: '5.3.0', // Specify the version of the chart fetchOpts: { // Specify the repo if it's a third-party chart, for example // repo: 'https://charts.ververica.com', }, namespace: 'ververica', // The namespace for deploying the helm chart values: { // Provide specific values here for the Helm chart if necessary }, }, { provider: cluster.provider }); // When a program runs `pulumi up`, Pulumi will ensure that these resources are // properly created and configured before marking the deployment as successful.

    Helm Chart Notes

    • The ververica-platform Helm chart and its version (5.3.0 in the example) should match the current offerings from Ververica. You may need to adjust the chart name and version according to what is available.
    • The repo in the fetchOpts is commented out as an example. If the Ververica Platform chart is published on a third-party Helm repository, you'll need to uncomment it and provide the appropriate URL.
    • values is where you can pass any necessary configurations that the Ververica Platform Helm chart accepts. For a full list of configurable values, refer to the official Helm chart's values.yaml file or its documentation.

    Running the Program

    To run this Pulumi program, you'll first need to set up the Pulumi CLI and AWS CLI, and configure your AWS credentials. You also need Node.js and npm installed to run the TypeScript program. Once your AWS account is configured and you have authenticated via the AWS CLI:

    1. Create a new directory for your Pulumi project.
    2. Use npm to create a package.json file and install the Pulumi EKS, AWSX, and Kubernetes packages.
    3. Paste the