1. Deploy the kyverno-operator helm chart on Google Kubernetes Engine (GKE)


    To deploy the kyverno-operator Helm chart on Google Kubernetes Engine (GKE) using Pulumi, you need to perform several steps. First, you would need to set up a GKE cluster if you don't already have one. Then you can use Pulumi's Kubernetes provider to deploy the Helm chart to that cluster. Below is a detailed description followed by the Pulumi program written in TypeScript.


    1. GKE Cluster Creation: We will create a GKE cluster with a specified node count and machine type. This cluster will serve as the environment where the kyverno-operator will be deployed.

    2. Kubernetes Provider Configuration: The Kubernetes provider must be configured with the credentials to communicate with the GKE cluster. This will involve retrieving the kubeconfig from the newly created GKE cluster.

    3. Helm Chart Deployment: Using the Kubernetes provider, we will deploy the kyverno-operator Helm chart. The Helm release will be configured with the necessary values that may be required by the kyverno-operator. For this example, we will use the default values provided by the Helm chart, but these can be customized as needed.

    4. Exporting Outputs: After the Helm chart has been deployed, we can export any outputs that are needed. For instance, you might want to export the endpoint of the Kubernetes API or any services that have been deployed as part of the Helm chart.


    Ensure you have the following installed and set up:

    • Pulumi CLI
    • Access to a Google Cloud project and credentials configured for use with Pulumi, typically via gcloud CLI
    • A Google Kubernetes Engine cluster

    Let's move on to the program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Set up a GKE Cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring" ], }, }); // Step 2: Configure the Kubernetes provider to use the GKE cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: cluster.kubeConfigRaw, }); // Step 3: Deploy the kyverno-operator Helm chart const kyvernoOperatorChart = new k8s.helm.v3.Chart("kyverno-operator", { chart: "kyverno", version: "latest", // Specify the chart version you want to deploy namespace: "kyverno", // Specify the namespace where kyverno-operator should be installed fetchOpts: { repo: "https://kyverno.github.io/kyverno/", // Kyverno Helm chart repository }, }, { provider: k8sProvider }); // Step 4: Export outputs export const kubeApiEndpoint = cluster.endpoint; export const kubeConfig = cluster.kubeConfigRaw;

    This program uses the @pulumi/gcp and @pulumi/kubernetes packages to create the resources. Ensure you install these packages before running the code.

    To execute this program, you would save it to a index.ts file, then run pulumi up in the same directory as the file. Pulumi will perform the deployment, and the program outputs will show the Kubernetes API endpoint and the kubeconfig, which you can use to interact with your GKE cluster directly using kubectl.

    Remember to replace the placeholders and values as necessary, especially the Helm chart version, to match with the specific version you intend to deploy.