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


    Deploying a Helm chart on Google Kubernetes Engine (GKE) involves several steps using Pulumi. First, a GKE cluster is created. After the cluster is available, the Helm chart is deployed to the cluster. In this case, we will deploy the postgresql-persistent Helm chart, which will provision a PostgreSQL database with persistent storage.

    Let's go through the steps of the Pulumi program written in TypeScript:

    1. Set up the GKE cluster: Use the gcp.container.Cluster resource to create a new GKE cluster.

    2. Configure the Kubernetes provider: Once the GKE cluster is created, you'll need to configure the Kubernetes provider to deploy resources into that cluster.

    3. Deploy the Helm chart: Use the kubernetes.helm.v3.Chart resource to deploy the postgresql-persistent Helm chart into the GKE cluster.

    Here is the complete Pulumi program. Make sure to have Pulumi and the required GCP and Kubernetes providers configured before running this code:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision a GKE cluster const cluster = new gcp.container.Cluster("postgresql-cluster", { initialNodeCount: 2, nodeConfig: { // You may choose a different machine type based on your requirements 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("k8s-provider", { kubeconfig: cluster.kubeConfigRaw, }); // Step 3: Deploy the postgresql-persistent Helm chart to the GKE cluster const postgresqlChart = new k8s.helm.v3.Chart("postgresql-persistent", { chart: "postgresql", version: "10.3.11", // specify the chart version you need fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, values: { // Provide required configurations for the postgresql Helm chart. // Refer to the Helm chart values for configurable options. persistence: { size: "10Gi", // Set the size of the persistent volume }, }, }, { provider: k8sProvider }); // Export the cluster name and kubeconfig export const clusterName = cluster.name; export const kubeconfig = cluster.kubeConfigRaw;


    • The gcp.container.Cluster resource creates a new GKE cluster named postgresql-cluster. The initialNodeCount sets how many nodes the cluster should have and nodeConfig specifies the configuration of those nodes.

    • After the cluster is created, we are configuring the Pulumi Kubernetes provider with the kubeConfigRaw output from the created cluster. This enables Pulumi to deploy Kubernetes resources to this cluster.

    • The kubernetes.helm.v3.Chart resource deploys the postgresql Helm chart from the Bitnami Helm repository, using version 10.3.11. The persistence.size value sets the storage allocated for the PostgreSQL database.

    • The export statements at the end of the program make the cluster name and kubeconfig available as stack outputs after deployment. You can use them to interact with your GKE cluster and deployed resources using tools such as kubectl.

    Make sure you have the Pulumi CLI installed and configured for use with GCP, and note that running this program may incur charges in your GCP account for the resources created.

    To run this program:

    1. Save the code to a file named index.ts.
    2. Ensure you're in a directory with the corresponding Pulumi.yaml project file.
    3. Run pulumi up to create the resources. Follow the on-screen prompts to confirm the deployment.