1. Deploy the sonarqube-scanner helm chart on Opensshift


    Deploying a Helm chart on a Kubernetes cluster, like OpenShift, using Pulumi involves several steps. You need to have a Kubernetes cluster running and have the kubeconfig set up so that Pulumi can communicate with the cluster. The @pulumi/kubernetes package will be used to facilitate this deployment.

    Below is a step-by-step guide and a Pulumi program written in TypeScript to deploy the SonarQube scanner Helm chart on OpenShift.


    • An existing OpenShift cluster
    • kubectl command-line tool configured to connect to your cluster
    • Pulumi CLI installed on your local machine
    • Node.js and npm installed to execute the TypeScript program


    1. Install Pulumi and Configure Kubernetes Cluster: Download and install Pulumi from the official website. Make sure that the kubectl CLI tool is configured with the appropriate kubeconfig to connect to your OpenShift cluster.

    2. Setup your Pulumi TypeScript Project: Create a new directory for your Pulumi project and navigate into it. Use pulumi new typescript to create a new TypeScript project. You'll be prompted to log in to the Pulumi service or choose a local login for storing your state.

    3. Write the Pulumi Code: You'll write TypeScript code using Pulumi's Kubernetes SDK to deploy the Helm chart.

    4. Deploy the Application: Run pulumi up to preview and deploy the changes. If everything looks good, select "yes" to proceed with the deployment.

    5. Verify the Deployment: Once the deployment is successful, you can verify that the SonarQube scanner is running by using the kubectl get pods command and checking the status of the deployed pods.

    Now, let's look at the detailed code:

    import * as k8s from "@pulumi/kubernetes"; // Provide the namespace where the Helm chart should be deployed on your OpenShift cluster. const namespace = "sonarqube-scanner-ns"; // Create a Kubernetes Namespace for the SonarQube Scanner if it does not exist. const ns = new k8s.core.v1.Namespace(namespace, { metadata: { name: namespace, }, }); // Deploy the SonarQube scanner using the Helm Chart. // You can replace the 'repo' and 'version' with the appropriate Helm repository URL and chart version, respectively. const sonarqubeScannerChart = new k8s.helm.v3.Chart("sonarqube-scanner", { chart: "sonarqube", version: "1.0.0", // Replace with the target version of SonarQube Scanner Helm chart. namespace: namespace, fetchOpts: { repo: "https://helm.sonarqube.org/", // Ensure this is the correct repository for the SonarQube scanner. }, // Define the values that need to be overridden from the values.yaml file of the Helm chart. // For instance, you can specify custom configurations or resource allocations here. values: { someValue: "Override this with actual value keys found in the Helm chart's values.yaml", }, }, {providers: {kubernetes: k8sProvider}}); // The k8sProvider references to your configured OpenShift cluster. // Export the URL to access SonarQube scanner. export const sonarqubeScannerUrl = sonarqubeScannerChart.getResourceProperty("v1/Service", "sonarqube-scanner", "status").apply(status => { // Replace `sonarqube-scanner` with the appropriate service name if different. return status.loadBalancer.ingress[0].ip || status.loadBalancer.ingress[0].hostname; });

    In this program:

    • We import the Pulumi Kubernetes SDK which allows us to communicate with our Kubernetes cluster.
    • We create a namespace specific for the SonarQube scanner to keep things organized.
    • We deploy the SonarQube scanner Helm chart using Chart resource which conveniently wraps Helm's functionalities.
    • We export the URL which might be used to access the SonarQube scanner service after it's deployed. Note that the service name and the way to access it (status.loadBalancer.ingress) might change depending on how the SonarQube Helm chart exposes the service.

    To apply this Pulumi code, save it in a file named index.ts inside your Pulumi project directory. Then, run pulumi up from the command line in the same directory. This will start the deployment process.

    Remember to check the Helm chart's official documentation and values.yaml file for accurate configuration options that fit your requirements.