1. Deploy the gradle-cache helm chart on AWS EKS


    To deploy a Helm chart, specifically the gradle-cache Helm chart, on AWS EKS (Elastic Kubernetes Service), you'll need to go through several steps using Pulumi. First, you need to create an EKS cluster, then you can use Pulumi's Kubernetes provider to deploy the Helm chart onto that cluster.

    Below I'll guide you through the process and provide you with the Pulumi code to accomplish this. The resources we'll use to accomplish this task from the Pulumi Registry Results are:

    • eks.Cluster (docs): To create an EKS cluster on AWS. This is a higher-level component that abstracts some of the complexity of setting up an EKS cluster.

    • kubernetes.helm.sh/v3.Chart (docs): To deploy a Helm chart on Kubernetes. This resource allows us to deploy Helm charts similarly to how we would use the helm CLI tool.

    Here is the detailed explanation and TypeScript program for deploying the gradle-cache Helm chart on AWS EKS:

    Step 1: Set up the EKS Cluster

    First, we will create an AWS EKS cluster using the eks.Cluster resource. In this example, we'll set up a small EKS cluster suitable for development and testing purposes. This will create the necessary VPC, subnets, and worker nodes that are required for an EKS cluster.

    Step 2: Deploy the Helm Chart

    Once you have your cluster set up, you'll need to get the kubeconfig information to interact with the cluster using Kubernetes API. Pulumi allows you to obtain this from the created EKS cluster resource.

    After that, we'll use the kubernetes.helm.sh/v3.Chart resource from Pulumi Kubernetes provider to deploy the gradle-cache Helm chart. You'll need to specify necessary information such as the repo where the Helm chart is located and any values that you need to pass to the Helm chart for your configuration.

    Let's write the code for the above steps:

    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 cluster = new eks.Cluster('my-cluster', { // Define the number and type of nodes for the cluster. desiredCapacity: 2, minSize: 1, maxSize: 3, instanceType: 't2.medium', // Other EKS configurations can go here. }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig; // Step 2: Deploy the gradle-cache helm chart on the EKS cluster. const gradleCacheChart = new k8s.helm.v3.Chart('gradle-cache', { chart: 'gradle-cache', version: '1.0.0', // Specify the chart version you wish to deploy fetchOpts: { repo: 'https://helm-repo-url.com/charts', // Replace with the Helm chart repository URL }, // If necessary, provide custom values.yaml content. values: { // Define your gradle-cache Helm values here. }, }, { provider: new k8s.Provider('k8s-provider', { kubeconfig: cluster.kubeconfig, }), }); // Export the status of the deployed Helm chart. export const gradleCacheChartStatus = gradleCacheChart.status;

    Ensure you replace the placeholder https://helm-repo-url.com/charts with the actual repository URL where the gradle-cache Helm chart is hosted.

    In this program, we have created an EKS cluster with a configurable number of nodes. Then we defined a Helm chart resource pointing towards the gradle-cache Helm chart in its repository. We have also exported the kubeconfig which you can use to interact with your cluster using kubectl and other Kubernetes tools, as well as the status of the deployed Helm chart.

    Please make sure to install and configure AWS CLI and Pulumi CLI on your local system and authenticate your session with your AWS account. After setting up your Pulumi project, you can run pulumi up to create your EKS cluster and deploy the gradle-cache chart to it.