Deploy the wireguard-pia helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

Deploying a Helm chart on Google Kubernetes Engine (GKE) involves several steps. You'll first need to create a GKE cluster, then install and configure Helm on your local machine or within your CI/CD pipeline, and finally, deploy the Helm chart to the cluster.

Below I'll provide a detailed Pulumi program written in TypeScript that will:

1. Create a Google Kubernetes Engine cluster using `google-native.container/v1.Cluster` resource.
2. Define the Helm Release using the `pulumi-kubernetes` package, which will deploy the `wireguard-pia` Helm chart to our GKE cluster.

Make sure you have the following prerequisites before running the code:

- Pulumi CLI installed and authenticated.
- Access to a Google Cloud account with necessary permissions to create GKE clusters and deploy resources.
- Your Pulumi stack should be configured with the correct GCP project and region. For more information on Pulumi configuration, check [Pulumi Configuration and Secrets](https://www.pulumi.com/docs/intro/concepts/config/).

Now, let's walk through the program:

```typescript
import * as pulumi from '@pulumi/pulumi';
import * as gcp from '@pulumi/gcp';
import * as k8s from '@pulumi/kubernetes';

// Step 1. Create a Google Kubernetes Engine cluster
const cluster = new gcp.container.Cluster('gke-cluster', {
    initialNodeCount: 2,
    nodeVersion: 'latest',
    minMasterVersion: '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',
        ],
    },
});

// Export the Cluster name
export const clusterName = cluster.name;

// Export the Kubeconfig to access the Cluster
export const kubeconfig = pulumi.
    all([cluster.name, cluster.endpoint, cluster.masterAuth]).
    apply(([name, endpoint, masterAuth]) => {
        const context = `${gcp.config.project}_${gcp.config.zone}_${name}`;
        return `apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: ${masterAuth.clusterCaCertificate}
    server: https://${endpoint}
  name: ${context}
contexts:
- context:
    cluster: ${context}
    user: ${context}
  name: ${context}
current-context: ${context}
kind: Config
preferences: {}
users:
- name: ${context}
  user:
    auth-provider:
      config:
        cmd-args: config config-helper --format=json
        cmd-path: gcloud
        expiry-key: '{.credential.token_expiry}'
        token-key: '{.credential.access_token}'
      name: gcp
`;
    });

// Step 2. Install and configure the Helm chart `wireguard-pia` on the GKE cluster
const wireguardHelmChart = new k8s.helm.v3.Chart('wireguard-pia', {
    chart: 'wireguard-pia',
    fetchOpts: { 
        repo: 'https://repository/url/for/wireguard-pia', // Replace with actual Helm repository URL
    },
    // Values to pass to the Helm chart - replace with the appropriate values
    values: {
        key: 'value',
        // Add other Helm chart values here
    },
}, { provider: new k8s.Provider('k8s-provider', { kubeconfig: kubeconfig }) });

// Export the Helm chart deployment status
export const helmDeploymentStatus = wireguardHelmChart.status;
```

Here is what each part of the program is doing:

- We create a new GKE cluster with a pre-defined number of nodes and machine types. Here we're using `n1-standard-1` machines, which is a reasonable default, but you might want to change that depending on your expected workload.
  
- We export the `kubeconfig`, which will be used by the Helm provider to interact with your GKE cluster. This `kubeconfig` is generated using the master credentials obtained from the GKE cluster resource.

- Next, we define a Helm chart resource, setting the chart to `wireguard-pia`. You will need to replace the repository URL with the actual Helm repository that contains the `wireguard-pia` chart. The `values` object should contain any custom values your Helm chart requires.

- Notice that we create a Kubernetes Provider using the generated `kubeconfig`. This provider is then passed to the Helm chart resource, ensuring that it interacts with the newly created GKE cluster.

- Finally, we export the Helm deployment status, which can be useful for automation and CI/CD processes.

Before running this code with the Pulumi CLI, make sure to replace placeholder values with actual valid ones that match your setup (like the Helm repository URL and any necessary Helm chart values).

This code must be saved in a file with a `.ts` extension (example: `index.ts`). You can run this code using the Pulumi CLI with the following commands in your terminal:

```sh
pulumi up
```

This command initiates the deployment process. After reviewing the plan, you can confirm the deployment, which will provision the resources in your Google Cloud account.