1. Deploy the tekton-pipeline helm chart on AWS EKS


    To deploy the Tekton Pipeline on an AWS EKS cluster using Pulumi, we'll take several steps:

    1. Create an EKS cluster: We'll define an EKS cluster where our Helm chart will be deployed.
    2. Define the role and instance profile for node groups: The worker nodes in the EKS cluster will require proper IAM permissions to operate within the cluster.
    3. Deploy the Helm Chart: Using Pulumi's Helm Chart resource, we'll deploy the Tekton Pipeline Helm chart into our EKS cluster.

    We'll be using @pulumi/eks to create an EKS cluster, which offers high-level abstractions for managing EKS. This allows us to create a cluster with a single command. Once the cluster is up and running, we'll deploy the Tekton Pipelines Helm chart using Pulumi's Helm chart resource from the @pulumi/kubernetes package.

    Below you'll find the TypeScript program which performs all of these actions. Here is the Pulumi program you would use:

    import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; // Create an EKS cluster with the default configuration. const cluster = new eks.Cluster("my-cluster", {}); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig; // Create a Kubernetes provider instance that uses our cluster from above. const provider = new k8s.Provider("provider", { kubeconfig: cluster.kubeconfig, }); // Deploy the Tekton Pipelines Helm chart. const tekton = new k8s.helm.v3.Chart("tekton-pipelines", { chart: "tekton-pipeline", version: "0.29.0", // replace with the desired version of the Tekton Pipelines fetchOpts: { repo: "https://tekton-releases.storage.googleapis.com", // Tekton Pipelines Helm repository }, }, { provider }); // Export the Helm chart name and status. export const tektonName = tekton.metadata.name; // The deployed Helm release name. export const tektonStatus = tekton.status; // The status of the deployed Helm release.


    • We import the necessary Pulumi packages (@pulumi/eks, @pulumi/kubernetes, @pulumi/pulumi, @pulumi/aws) that'll be used to create and manage AWS and Kubernetes resources.
    • We create an EKS cluster using eks.Cluster. The my-cluster is just an example name and you might want to replace it with a more appropriate name.
    • We're exporting kubeconfig from our program so you can use it with kubectl to interact with your cluster outside of Pulumi if you desire.
    • We then create a Kubernetes provider which uses the kubeconfig from the created EKS cluster. This will let Pulumi know how to communicate with our EKS cluster.
    • We deploy Tekton Pipelines using Pulumi's Helm chart resource. We specify the chart name (tekton-pipeline), version, and repository URL for Tekton Pipelines Helm releases.
    • Finally, we export the Helm chart's name and status to see the deployed Helm release name and status as stack outputs.

    Note: Change the version to match the current version of the Tekton Pipelines chart you want to install. Visit the Tekton Pipelines GitHub to find the latest available version.

    After you have written your program, you can deploy it using the Pulumi CLI by running pulumi up. This will provision all the resources specified, including the EKS cluster and the Tekton Pipeline Helm chart.