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

    TypeScript

    In order to deploy the Tekton Helm chart on a DigitalOcean Kubernetes Service, we need to accomplish a few tasks:

    1. Create a new Kubernetes cluster in DigitalOcean.
    2. Install and configure Helm in our local environment to work with the new Kubernetes cluster.
    3. Use Helm to install the Tekton chart into the Kubernetes cluster.

    We'll be using Pulumi to create the Kubernetes cluster on DigitalOcean, and Helm for the chart installation. Pulumi's kubernetes package provides an abstraction to work with Helm charts.

    Here is how the process would look in Pulumi with TypeScript:

    Step 1: Import Necessary Packages

    We must first import the necessary Pulumi packages for working with DigitalOcean and Kubernetes in TypeScript.

    Step 2: Create a Kubernetes Cluster on DigitalOcean

    Using the digitalocean.KubernetesCluster resource, we can define a new Kubernetes cluster on DigitalOcean. We'll specify the region, version, and the node pool configuration for our cluster.

    Step 3: Deploy the Tekton Helm Chart

    Once we have our Kubernetes cluster created, we can deploy the Tekton Helm chart using the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes package. You will need to specify the chart name and any additional configuration required by the Tekton chart.

    Here's a Pulumi program that executes these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Define the configuration for the DigitalOcean Kubernetes cluster. const cluster = new digitalocean.KubernetesCluster("tekton-cluster", { region: "nyc1", version: "latest", // Replace 'latest' with a specific Kubernetes version if necessary nodePool: { name: "worker-pool", size: "s-2vcpu-2gb", nodeCount: 2, }, }); // Step 2: Create a Kubeconfig file for the newly created DigitalOcean Kubernetes cluster. export const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Step 3: Use a dynamically generated Kubeconfig to configure the Kubernetes provider. const k8sProvider = new kubernetes.Provider("tekton-k8s-provider", { kubeconfig: kubeconfig, }); // Step 4: Deploy the Tekton Helm chart on the Kubernetes cluster using Pulumi. const tektonChart = new kubernetes.helm.v3.Chart("tekton", { chart: "tektoncd", version: "latest", // Use the appropriate chart version fetchOpts: { repo: "https://chart-repo", // Replace with the Tekton Helm chart's repository URL }, }, { provider: k8sProvider }); // Pass the provider to Helm chart // Export the cluster's endpoint to access the Tekton dashboard if it is deployed export const clusterEndpoint = cluster.endpoint;

    Make sure you replace "https://chart-repo" with the repository URL where the Tekton Helm chart is located. You can usually find this URL in the official documentation or repo of the application.

    This program creates a new cluster, configures Pulumi to use the cluster's kubeconfig, and then launches a new Helm chart into the cluster. The kubeconfig and clusterEndpoint are exported so that you can easily interact with your cluster and applications running within it.

    Remember to have Pulumi installed on your system and set up the configuration for DigitalOcean by adding the API token so Pulumi can perform actions on your behalf. The Pulumi CLI is responsible for interpreting this file and performing the resource management actions required.

    You may also need to install the Pulumi DigitalOcean provider plugin (@pulumi/digitalocean) and the Kubernetes provider plugin (@pulumi/kubernetes) via npm before executing this Pulumi program:

    npm install @pulumi/pulumi @pulumi/digitalocean @pulumi/kubernetes

    After creating this Pulumi program, run it using the Pulumi CLI:

    pulumi up

    This command initializes the Pulumi program, which prompts you to create the described resources. Confirm the action, and Pulumi will handle the provisioning of the resources and output the values you've exported when complete.