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


    To deploy a storage Helm chart on Google Kubernetes Engine (GKE), you'll first need to create a GKE cluster, then configure your Pulumi environment to deploy Helm charts using the Helm Release resource provided by Pulumi.

    Below is a Pulumi program in TypeScript that creates a GKE cluster and deploys a Helm chart within it. Before diving into the code, let's break down the steps:

    1. Set Up the GKE Cluster: We'll define a GKE cluster using Pulumi's gcp.container.Cluster resource. Ensure that you have the required permissions and have configured Pulumi with your GCP credentials.

    2. Install the Helm Chart: After the cluster is ready, we'll install a Helm chart to deploy the storage solution. We will use Pulumi's Helm Release resource, which is provided by the @pulumi/kubernetes package.

    Here's how you can write the program:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", location: "us-central1-a", nodeConfig: { // When specifying a machine type, ensure it has enough resources for your workloads. machineType: "n1-standard-1", // or another machine type 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 and kubeconfig for local access export const clusterName = cluster.name; 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 the Helm chart into the GKE cluster // Configure the Kubernetes provider with the kubeconfig from the newly created GKE cluster const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeconfig, }); // Deploy a Helm chart, for example a Redis chart as our storage solution const redisChart = new k8s.helm.v3.Release("redis", { chart: "redis", version: "10.5.7", // Specify the chart version you wish to deploy repositoryOpts: { repo: "https://charts.bitnami.com/bitnami", }, // Define values for the Helm chart in values yaml or pass them in an object directly values: { // These values would be specific to the storage chart you want to install // For demonstration, these are example values that might be used for a Redis chart. cluster: { enabled: true, }, metrics: { enabled: true, }, }, }, { provider: k8sProvider }); // Export the Redis Helm chart service IP export const redisServiceIp = redisChart.status.apply(status => status.service.apply(s => s.loadBalancer.apply(lb => lb.ingress[0].ip)));

    Before you run the code, you need to have Pulumi and GCP CLI tools installed and configured properly.


    • Install Pulumi.
    • Install Google Cloud SDK (gcloud).
    • Authenticate with Google Cloud: run gcloud auth login and gcloud config set project [PROJECT_ID].
    • Ensure your Google Cloud account has the appropriate roles and permissions to create GKE clusters and work with Google Container Registry.

    Running the Code:

    Once you're set up with all prerequisites, here are the general steps to run the code:

    1. Save the above TypeScript code to a file named index.ts.
    2. Create a new Pulumi project with pulumi new typescript (pick an appropriate project and stack name when prompted).
    3. Place the index.ts file in your Pulumi project directory.
    4. Run npm install to install all necessary packages.
    5. Finally, deploy your infrastructure with the command pulumi up.

    This script would create the GKE cluster and deploy the specified Helm chart (in the script provided, a Redis database). Remember that in the values section under the Redis Helm chart deployment, you need to specify the appropriate values for the storage solution you are deploying.