1. Using kubernetes pulumi.com with tekton.dev

    TypeScript

    Alright, let's walk through the process of using Pulumi with Kubernetes to deploy a Tekton pipeline. Tekton is a powerful toolkit for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premise systems.

    In this example, we'll set up a basic Tekton pipeline on a Kubernetes cluster using Pulumi. We are going to define the following resources:

    • Namespace: A dedicated namespace in Kubernetes for our Tekton resources.
    • Task: A Tekton Task which defines steps that run sequentially to completion.
    • Pipeline: A Tekton Pipeline which defines a collection of Task resources that run in a particular order using TaskRun.

    Assuming you have a Kubernetes cluster running and kubectl configured, Pulumi can leverage your local kubeconfig file to interact with your cluster.

    Let's write the TypeScript program to set this up:

    import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a new Pulumi project and import Kubernetes package. // Make sure to install the necessary Pulumi Kubernetes SDK via npm or yarn. // Step 2: Define a new Kubernetes Namespace resource for Tekton. const tektonNamespace = new k8s.core.v1.Namespace("tekton-namespace", { metadata: { name: "tekton-pipelines", }, }); // A Kubernetes namespace gives us a way to isolate resources created as part of the CI/CD pipeline. // More on Kubernetes namespaces: https://www.pulumi.com/registry/packages/kubernetes/api-docs/core/v1/namespace/ // Step 3: Install Tekton Pipelines into our namespace. // Tekton defines CustomResourceDefinitions (CRDs) for its resources, which means that // you need to have Tekton pipelines installed on your cluster. // For the sake of this demo, we're going to assume Tekton is installed and focus on setting up a Tekton Task and Pipeline. // Tekton installation guide: https://tekton.dev/docs/getting-started/ // Step 4: Define a Tekton Task resource. const exampleTask = new k8s.apiextensions.CustomResource( "example-task", { apiVersion: "tekton.dev/v1beta1", kind: "Task", metadata: { name: "hello-task", namespace: tektonNamespace.metadata.name, }, spec: { steps: [{ name: "echo", image: "ubuntu", script: 'echo Hello, World!', }], }, }, { dependsOn: tektonNamespace } ); // A Tekton Task defines a series of steps that run to completion. // More on Tekton Tasks: https://www.pulumi.com/registry/packages/kubernetes/api-docs/apiextensions.k8s.io/v1/customresourcedefinition/ // Step 5: Define a Tekton Pipeline that uses our Task. const examplePipeline = new k8s.apiextensions.CustomResource( "example-pipeline", { apiVersion: "tekton.dev/v1beta1", kind: "Pipeline", metadata: { name: "hello-pipeline", namespace: tektonNamespace.metadata.name, }, spec: { tasks: [{ name: "hello-world-task", taskRef: { name: "hello-task", }, }], }, }, { dependsOn: [tektonNamespace, exampleTask] } ); // A Tekton Pipeline chains together Tasks into an execution graph. // More on Tekton Pipelines: https://www.pulumi.com/registry/packages/kubernetes/api-docs/apiextensions.k8s.io/v1/customresourcedefinition/

    This simple program was a tour through the process of setting up a Pulumi project to work with Tekton on Kubernetes. You will, of course, need a more complex setup for a real-world application, but this demonstrates the basics.

    Ensure you have the Tekton Pipelines installed on your Kubernetes cluster as it provides the necessary CRDs for Task and Pipeline resources. You can follow the official Tekton installation guide for setup instructions.

    After defining exampleTask and examplePipeline, you'll need to run the pulumi up command to deploy these resources to your Kubernetes cluster. The dependsOn option is used to specify dependencies between resources, ensuring that they are created in the correct order.

    To view the state and outputs of your resources, you can use the pulumi stack output command. You might not have direct outputs in this example, as the resources don't have any explicit outputs defined, but this is helpful when you need to retrieve the endpoints or generated resource names for use in subsequent steps or for external use.

    Finally, to check the actual statuses of the Tekton tasks and pipelines on the cluster, you can use the appropriate kubectl commands or Tekton's CLI tool tkn.