1. Deploy the gcpdisk-csi-driver helm chart on Google Kubernetes Engine (GKE)


    To deploy the gcpdisk-csi-driver Helm chart on Google Kubernetes Engine (GKE), we'll need to take the following steps:

    1. Create a GKE Cluster: Provision a new Kubernetes cluster on Google Cloud Platform (GCP) using Pulumi's GKE resource.
    2. Install the Helm Chart: Use Pulumi's Helm package to deploy the gcpdisk-csi-driver chart to your GKE cluster.

    Here's a program that accomplishes these tasks using Pulumi with TypeScript:


    Make sure you have the following before running the Pulumi program:

    • Pulumi CLI installed and configured for GCP.
    • gcloud CLI installed and configured for GCP.
    • Access to a GCP account with permissions to create GKE clusters and deploy Helm charts.

    Program Explanation

    1. GKE Cluster Resource: This uses the gcp.container.Cluster class to create a new GKE cluster on GCP. You can adjust cluster settings such as machine type, node count, etc., as needed for your use case.

    2. Helm Release Resource: After the GKE cluster is created, the program defines a helm.v3.Release resource. This resource specifies the Helm chart to be installed on our GKE cluster. In this case, it's the gcpdisk-csi-driver chart.

    Here's the Pulumi program to accomplish this:

    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("gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // You can choose an appropriate machine type oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform" ], }, }); // Export the Cluster name and Kubeconfig for the cluster 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: Deploy the `gcpdisk-csi-driver` Helm chart to the GKE cluster const gcpDiskCsiDriverRelease = new k8s.helm.v3.Release("gcpdisk-csi-driver", { chart: "gcpdisk-csi-driver", version: "0.1.0", // Specify the version of the chart you wish to deploy namespace: "default", // Chart namespace repositoryOpts: { repo: "https://kubernetes-sigs.github.io/gcp-compute-persistent-disk-csi-driver", // Helm chart repository }, }, { provider: new k8s.Provider("gke-k8s", { kubeconfig }) }); // Export the Helm chart release name export const releaseName = gcpDiskCsiDriverRelease.status.name;

    In the program:

    • We define initialNodeCount for the number of nodes in the cluster, minMasterVersion and nodeVersion to specify the Kubernetes version. Make sure to use versions compatible with your CSI driver chart.
    • OAuth scopes enable the nodes to interact with Google Cloud APIs.
    • The kubeconfig is assembled with cluster access details for the Kubernetes provider to interact with the GKE cluster.
    • A k8s.Provider instance, specific to the GKE cluster created, is used to tell the Helm chart where to deploy.

    Running the Program

    To run the program, follow these steps:

    1. Save the aforementioned program in a file named index.ts.
    2. Run pulumi up to preview and deploy the changes.

    After running pulumi up, you'll receive a detailed preview of the resources that Pulumi will create. If everything looks correct, proceed with the deployment.

    Once the deployment is successful, the gcpdisk-csi-driver should be installed on your GKE cluster, and you can start using Google Compute Engine persistent disks as storage within your Kubernetes cluster.