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

Question

Pulumi · Accepted Answer

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.

### Description

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.

### Prerequisites:

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:

```typescript
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.