1. Deploy the tekton-pipeline helm chart on Digital Ocean Kubernetes Service


    To deploy the Tekton Pipeline Helm chart on the Digital Ocean Kubernetes Service using Pulumi, we need to follow these steps:

    1. Create a Kubernetes cluster on Digital Ocean: We will use the digitalocean.KubernetesCluster resource to provision a Kubernetes cluster in the desired region with an appropriate node size and count.

    2. Install the Tekton Pipeline Helm chart: Once the Kubernetes cluster is ready, we will use the kubernetes.helm.v3.Chart resource to deploy the Tekton Pipeline Helm chart to the cluster.

    Here's a comprehensive program written in TypeScript that accomplishes this:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision a DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster("tekton-cluster", { region: "nyc3", // Specify the region where the cluster will be located version: "1.21.5-do.0", // Define the Kubernetes version (must be a supported version on DO) nodePool: { name: "worker-pool", size: "s-2vcpu-2gb", // Define the size of each node in the node pool nodeCount: 2, // Specify the number of nodes in the node pool }, }); // Step 2: Deploy the Tekton Pipeline Helm chart const tektonChart = new k8s.helm.v3.Chart("tekton-pipeline", { chart: "tekton-pipeline", version: "0.28.1", // Specify the chart version you want to deploy fetchOpts: { repo: "https://tekton.dev/charts", // Define the repository where the Helm chart is located }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Export the cluster's kubeconfig and endpoint export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const clusterEndpoint = cluster.endpoint;

    Explanation of the program:

    • First, we import the necessary Pulumi packages: @pulumi/pulumi for core Pulumi functionality, @pulumi/digitalocean for Digital Ocean resources, and @pulumi/kubernetes for Kubernetes resources, including Helm charts.

    • We then define a new Digital Ocean Kubernetes cluster named tekton-cluster using the digitalocean.KubernetesCluster resource. We set the region, version, nodePool.size, and nodePool.nodeCount to appropriate values for the cluster. Adjust these values according to your requirements and supported values in Digital Ocean.

    • We also specify the Kubernetes version and node pool details such as node size and count as per our needs. Make sure to use a Kubernetes version supported by Digital Ocean and a node size that suits your workload.

    • For deploying the Tekton Pipeline, we create a new Helm chart resource named tekton-pipeline using the k8s.helm.v3.Chart class. We set the chart and version to the specific Helm chart and version we want to deploy, and provide the Helm repository URL through fetchOpts.repo.

    • We create a Kubernetes provider k8s-provider that uses the kubeconfig from the newly created cluster to ensure our Helm chart is deployed to the right cluster.

    • Finally, we export the kubeconfig and clusterEndpoint of the newly created Kubernetes cluster. These can be used to access the cluster using kubectl or other Kubernetes tools.

    To use this program, you would write it to a file (e.g., index.ts), and then run pulumi up to create the infrastructure. Pulumi will handle the provisioning and setup of the cluster and the deployment of the Helm chart for us.