1. Deploy the gitops-operator helm chart on Opensshift


    To deploy the gitops-operator Helm chart on an OpenShift cluster using Pulumi, we will use the kubernetes.helm.v3.Chart resource provided by Pulumi's Kubernetes provider. This resource allows us to specify a Helm chart to be deployed to our cluster, including the ability to set values and configuration options for the chart.

    Here's a step-by-step guide, followed by a Pulumi TypeScript program that performs the deployment:

    1. Prerequisites: To follow through with this guide, you will need the following set up:

      • Pulumi CLI installed and configured for your environment.
      • An existing OpenShift cluster with kubectl configured to interact with it. The kubeconfig file should be correctly set up to point to your OpenShift cluster.
      • Helm CLI installed locally, in case you need to manage Helm releases directly or retrieve Helm chart information.
      • The gitops-operator Helm chart repository added to your Helm client.
    2. Define the Helm Chart: We will create a new Pulumi project and define the gitops-operator Helm chart within our program. You'll need to specify the repository URL for the chart, the chart name, and any configurations or values you wish to override.

    3. Deployment: The Pulumi program will initiate the deployment when you run pulumi up. This will instruct Pulumi to communicate with your OpenShift cluster's API, using the credentials in your kubeconfig, to create or update the objects defined by the Helm chart.

    4. Output and Management: After the deployment, you'll get outputs such as the deployment status or any endpoints, which Pulumi will print out as stack exports. You can further manage the release using Pulumi or Helm as required.

    5. Stack Exports: We'll designate any important information, such as service endpoints, as stack exports for easy access post-deployment.

    Let's proceed with the Pulumi TypeScript program that fulfills the requirements:

    import * as k8s from '@pulumi/kubernetes'; // A simple example to deploy the `gitops-operator` helm chart on an OpenShift cluster. // Replace `REPO_URL` with the actual repository URL of the `gitops-operator` Helm chart. const chartRepoUrl = "REPO_URL"; // Create a Helm Chart using the gitops-operator Helm chart from the specified repository. const gitopsOperator = new k8s.helm.v3.Chart("gitops-operator", { // Specify the repository options. repo: "gitops-operator-repo", chart: "gitops-operator", version: "1.0.0", // Replace with the specific chart version you wish to deploy. fetchOpts: { repo: chartRepoUrl, }, // Specify namespace if needed, otherwise default is used // namespace: "gitops", // Values to override. // values: { // // Insert any necessary values here // }, }); // Export any necessary resources created by the Helm chart. export const gitopsOperatorName = gitopsOperator.metadata.apply(m => m.name);

    This program creates a new instance of the gitops-operator Helm chart. Before running this Pulumi program, make sure that you replace the placeholder REPO_URL with the actual URL of your Helm chart repository. Additionally, specify the version of the Helm chart you would like to deploy.

    To run this Pulumi program, make sure you have the Pulumi CLI installed and configured to interact with your OpenShift cluster. Run the following commands in your terminal:

    pulumi stack init dev # Initialize a new Pulumi stack called 'dev' pulumi config set kubernetes:namespace gitops # Optionally set the Kubernetes namespace pulumi up # Preview and deploy the changes

    Pulumi will perform a preview of the changes and prompt you for confirmation before proceeding with the deployment. Once confirmed, it will deploy the gitops-operator Helm chart to your OpenShift cluster.

    After successful deployment, Pulumi will print the stack exports, which include the generated name of the Helm chart deployment.

    Using this Pulumi program, you can manage the lifecycle of the gitops-operator deployment on your OpenShift cluster, including updating configurations, upgrading to newer versions of the chart, or cleaning up the resources if needed.