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


    To deploy the helm-guestbook Helm chart on Google Kubernetes Engine (GKE), you'll need to perform several steps using Pulumi:

    1. Set up a GKE cluster: Deploy a cluster where the Helm chart will reside.
    2. Install the Helm Chart: Once the GKE cluster is in place, deploy the Helm chart to the cluster.

    Below, you'll find a detailed Pulumi program written in TypeScript that accomplishes the deployment of a GKE cluster and then deploys the helm-guestbook Helm chart on it.

    Here is a step-by-step explanation of the program components:

    • Import dependencies: Pulumi SDKs for GKE and Helm will be imported.
    • Create a GKE cluster: Define a new GKE cluster resource.
    • Deploy Helm chart: After the cluster is available, deploy the helm-guestbook Helm chart to the new GKE cluster by creating a helm.v3.Release resource.

    Now, let's write the program.

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a GKE cluster const gkeCluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { // You can adjust as necessary: 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 GKE cluster name export const clusterName = gkeCluster.name; // Step 2: Install the "helm-guestbook" Helm chart const kubeconfig = pulumi. all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.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 `; }); // Use a Kubernetes Provider that uses our kubeconfig const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the helm-guestbook chart const helmGuestbook = new k8s.helm.v3.Release("helm-guestbook", { chart: "guestbook", version: "0.2.0", // you can specify the chart version you want to deploy // Define any values we want to override. // This example demonstrates how you might configure a name property. values: { name: "hello-world", }, }, { provider: k8sProvider }); // Export the Helm release's name export const guestbookName = helmGuestbook.status.name;

    Explanation of the code:

    • We initialize a new GKE cluster with initialNodeCount set to 2. This indicates we want two nodes in our cluster initially.
    • The nodeConfig specifies the type of machine to use for the nodes and the OAuth scopes required for the various services the node might interact with.
    • A kubeconfig is generated using the cluster's details which enables kubectl and other tools to communicate with the GKE cluster.
    • We create a k8s.Provider which is configured with the kubeconfig. This tells Pulumi to use this configuration for deploying resources to this cluster.
    • Finally, we create a Helm release using the k8s.helm.v3.Release resource. We specify the chart name as guestbook and can pin it to a version.

    After writing your Pulumi program, you can deploy it using the Pulumi CLI. Running pulumi up will start the deployment process, and Pulumi will provide you with a preview of the resources that will be created. Confirming the preview will then apply the changes, set up the cluster, and deploy the Helm chart.

    Remember that this program assumes you have gcloud installed and configured for access to your Google Cloud project, and that your Pulumi stack is appropriately configured for your GCP project and zone. Additionally, ensure you have the necessary permissions to create and manage GKE clusters in your GCP project.