1. Deploy the turborepo-remote-cache helm chart on Opensshift

    TypeScript

    To deploy a Helm chart on an OpenShift cluster using Pulumi, you'll need to take a few steps. First, ensure you have access to an OpenShift cluster and that you're authenticated with oc CLI or have the appropriate kubeconfig file to interact with your cluster.

    We will use Pulumi's Kubernetes provider to deploy the turborepo-remote-cache Helm chart. The kubernetes.helm.v3.Chart resource allows you to deploy Helm charts into a Kubernetes cluster. Helm charts are packages of pre-configured Kubernetes resources.

    Here's a TypeScript program that performs the deployment:

    import * as k8s from '@pulumi/kubernetes'; const projectName = "turborepo-remote-cache"; // For Helm charts hosted in a remote repository, you can specify the `repo` parameter. // If the Helm chart is in your local directory or a private repository, you'd need to adjust // the `path` or `repositoryOpts` to point to the correct location. const turborepoRemoteCache = new k8s.helm.v3.Chart(projectName, { chart: "your-chart-name", // Specify your chart name here version: "your-chart-version", // Specify the chart version namespace: "your-namespace", // Specify the namespace to install the chart into // When using a remote repository, use `repo` to specify the Helm repository URL. // For example: repo: "https://your-helm-repo.com/charts" // Use the `fetchOpts` parameter if you need to provide authentication details or other fetch options. fetchOpts: { repo: "your-repo-url", // Include additional options as needed, such as authentication details. }, // If the chart requires custom configuration, use `values` to supply them. values: { // Specify your configuration options for the turborepo-remote-cache Helm chart }, }); // Export the resources' properties to get access to them outside Pulumi. export const remoteCacheUrl = turborepoRemoteCache.getResourceProperty("v1/Service", "turborepo-remote-cache", "status");

    Here's a brief explanation of the code:

    • We import the Pulumi Kubernetes (@pulumi/kubernetes) package, which allows us to interact with Kubernetes clusters using Pulumi.
    • The Chart class from the module kubernetes.helm.v3 is instantiated to create a new Helm chart deployment. This class abstracts away much of the complexity behind deploying Helm charts.
    • We specify the chart name and version. You'd replace "your-chart-name" and "your-chart-version" with the actual name and version of the turborepo-remote-cache chart you wish to deploy.
    • The namespace parameter defines the namespace in OpenShift where the Helm chart should be deployed. If it doesn't exist, Helm will create it.
    • The repo option within fetchOpts is where you'd specify the URL to your Helm chart's repository. If your chart requires authentication, or there are other specific fetch options, you'd add them within the fetchOpts object.
    • The values object lets you configure the Helm chart with the specific values you want to override or set, similar to how you would use a custom values.yaml file with Helm CLI.

    After you have configured your Pulumi program with the actual details specific to your Helm chart and OpenShift cluster, run the program using the Pulumi CLI:

    1. Initialize a new Pulumi project if you haven't already.
    2. Install the necessary NPM package: @pulumi/kubernetes.
    3. Place the code in a index.ts file within your Pulumi project.
    4. Run pulumi up to execute the deployment.

    Make sure to replace placeholders like your-chart-name, your-chart-version, your-namespace, and your-repo-url with the actual values before running the program.

    The export statement at the end of the code is used to output properties of the deployed resources that can be accessed outside of Pulumi. In this case, it's attempting to export the URL of the remote cache service created by the Helm chart, although you'd need to adjust the details here based on what you want to export and what resources the Helm chart creates.

    Remember, Pulumi programs are declarative; you describe what resources should exist, and Pulumi ensures that the actual state of the cluster matches your desired state.