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


    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.

    Now, let's walk through the program:

    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:

    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.