1. Deploy the ms-hello-python helm chart on Kubernetes


    To deploy a Helm chart on a Kubernetes cluster using Pulumi, you will need to create a Pulumi program that defines a Chart resource from the @pulumi/kubernetes package. This resource leverages the Helm package manager to deploy applications on Kubernetes.

    The Chart resource requires information about the Helm chart you wish to deploy, like the chart name, version, and repository URL if it's a public chart not located in the official Helm repository.

    Below is a TypeScript program using Pulumi that deploys the ms-hello-python Helm chart on a Kubernetes cluster. The chart name suggests that it may not be in the official Helm repository, so you'd normally need to specify the repo parameter with the repository URL. However, for the purpose of demonstration, we'll assume ms-hello-python is located in a repository that's already been added to the Helm configuration.

    import * as k8s from "@pulumi/kubernetes"; // Create an instance of the ms-hello-python Helm chart. const msHelloPythonChart = new k8s.helm.v3.Chart("ms-hello-python-helm-chart", { // Replace with the actual repository URL or name where the ms-hello-python chart is located. // If the chart is in the official Helm repository, you may not need to specify 'repo'. repo: "my-helm-repo", chart: "ms-hello-python", // Specify the version of the chart you want to deploy. // If not specified, the latest version will be deployed. version: "1.2.3", // You can specify the namespace where the Helm chart will be deployed. // If not specified, it will be deployed in the default namespace. namespace: "my-namespace", // If there are any specific configurations or overrides you need for the chart, // you can specify them in the 'values' object. values: { // Example configuration. Replace these with actual configuration values serviceType: "LoadBalancer", replicaCount: 2, // ... }, }); // Export the chart's status URL if applicable. export const statusUrl = msHelloPythonChart.status.apply(status => status.helm.status.url); // To run this program, you will need to have the Pulumi CLI installed, // configured to access a Kubernetes cluster, and have the npm packages installed.

    This program will create a Helm chart instance of ms-hello-python, specifying the repository, chart version, and namespace. You can customize the values by modifying the values object. The status URL of the deployed application, if applicable, will be exported as a stack output.

    Before running this program, ensure you have the following prerequisites installed and set up:

    1. Pulumi CLI: Install Pulumi CLI if you haven't already and configure it to connect to your Kubernetes cluster.
    2. Node.js and npm: The runtime for the TypeScript program. You can download Node.js (which includes npm) from here.
    3. Helm: Ensure that Helm is configured correctly with your cluster, and you have access to the repository containing the ms-hello-python chart. You may need to add the repository with helm repo add if it's a custom repository.

    Once you have all the prerequisites:

    1. Initialize a new Pulumi project with pulumi new if you are starting from scratch.

    2. Install the required npm package within the project directory:

      npm install @pulumi/kubernetes
    3. Place the above TypeScript code into a file named index.ts.

    4. Run pulumi up to preview and deploy the resources.

    Remember to replace "my-helm-repo" and version with the actual Helm repository and desired chart version respectively. If your Helm chart requires specific configurations, you can provide them in the values object.