1. Deploy the workload-api-server helm chart on Kubernetes


    To deploy the workload-api-server Helm chart on Kubernetes using Pulumi, you'll need to use the Chart resource from the @pulumi/kubernetes package. This allows you to deploy Helm charts into a Kubernetes cluster from a public or private chart repository.

    Here's a step-by-step guide to help you understand this process:

    1. Setting Up: Before you start deploying your Helm chart, ensure you have access to a Kubernetes cluster and that your kubectl is configured correctly to communicate with it.

    2. Install Pulumi: If you haven't already, install Pulumi and set up your Pulumi account.

    3. Creating a New Pulumi Project: You create a new Pulumi project using the Pulumi CLI. For Kubernetes, the stack will interact with the cluster that your kubectl is configured to use.

    4. Writing the Program: You define the Helm chart deployment in a Pulumi program using TypeScript. This typically includes specifying the chart name, version, and any custom values required by the chart.

    5. Deploying the Stack: With the program written, you use the Pulumi CLI to create and update the stack, causing the Helm chart to be deployed to your Kubernetes cluster.

    6. Accessing the Deployed Application: After deployment, you can access your application/services as defined by the Helm chart.

    Let's proceed to write the TypeScript Pulumi code to deploy the workload-api-server Helm chart:

    import * as k8s from "@pulumi/kubernetes"; // Create a new Kubernetes Helm Chart instance for the workload-api-server chart. // Assuming the chart is available in a public repository, specify the repo name and chart name. const workloadApiServerChart = new k8s.helm.v3.Chart("workload-api-server", { chart: "workload-api-server", // Optional: Specify a repository if the chart is not in the default Helm repo. // repo: "https://charts.example.com/", // Optional: Specify the chart version you wish to deploy. // version: "1.2.3", // Optional: Provide specific values to customize the Helm chart deployment. values: { // For example, replace these with actual values required by the workload-api-server chart. service: { type: "ClusterIP", }, }, }); // Export the workload API server's service name for easy access. export const serviceName = workloadApiServerChart.getResourceProperty("v1/Service", "workload-api-server", "metadata.name");

    This code snippet introduces a Kubernetes Helm Chart instance for the workload-api-server. It specifies the chart by name (assumes the chart is in a registered chart repository accessible during deployment) and includes a placeholder for providing custom value overrides should your Helm chart require them.

    Here is what this code does:

    • Imports the necessary Pulumi Kubernetes library.
    • Creates a Helm Chart instance defined by workloadApiServerChart. This Helm Chart targets a specific chart and, optionally, a specific version and repository. The chart deployment can be customized via the values object.
    • Exports the Kubernetes Service name associated with the workload-api-server as a stack output. This allows you to see which service to look at once the deployment is completed.

    After writing your code, you would run pulumi up to provision the resources. The Pulumi CLI will communicate the desired state to your Kubernetes cluster, and the Helm chart will be deployed accordingly. You can use kubectl get services to check if the service is running. The details of the service, such as external IP or port, will also be available in the Pulumi stack outputs if you export them.