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


    Deploying the seaweedfs-csi-driver Helm chart on Google Kubernetes Engine (GKE) involves a set of clear steps using Pulumi with TypeScript. I'll explain these steps and then provide you with the Pulumi program that accomplishes this task.

    Firstly, we'll need to create a GKE cluster, which serves as the environment where our Kubernetes resources will live. We'll then configure the Kubernetes provider to interact with the newly created GKE cluster.

    Once the foundation is set, we'll focus on deploying the Helm chart. Pulumi provides a resource called kubernetes.helm.v3.Chart which represents a Helm chart in a Pulumi program. We'll use this resource to deploy the seaweedfs-csi-driver chart to our GKE cluster.

    Here's the step-by-step process coded in TypeScript:

    1. Setup GKE Cluster: Utilize the google-native.container.v1beta1.Cluster resource to create a new Google Kubernetes Engine cluster.

    2. Configure K8s Provider: Once the cluster is up, set up the Kubernetes provider to point to the created GKE cluster.

    3. Deploy Helm Chart: Use the kubernetes.helm.v3.Chart resource to deploy the seaweedfs-csi-driver Helm chart into the GKE cluster.

    Below is the Pulumi program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster. const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, 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 interact with the cluster using kubectl 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 `; }); // Create a Kubernetes Provider instance that uses our cluster from above. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Now we have a K8s provider instance, we can deploy a Helm chart into our cluster. const seaweedfsCsiDriver = new k8s.helm.v3.Chart("seaweedfs-csi-driver", { chart: "seaweedfs-csi-driver", version: "0.1.0", // Specify the version of the chart here. repositoryOpts: { repo: "https://charts.your-repository.org", // Replace with the actual Helm repository }, }, { provider: k8sProvider }); // Export the Helm chart name export const helmChartName = seaweedfsCsiDriver.metadata.name;

    In this program:

    • We create a new GKE cluster with two nodes using the gcp.container.Cluster resource.

      • This includes specifying the machine type and the OAuth scopes that the nodes will have permission to utilize.
      • We also export the cluster name and the credentials as a Kubeconfig for use with kubectl, or any Kubernetes client.
    • We set up our Kubernetes provider to use this Kubeconfig. This setup allows Pulumi to deploy resources to the correct cluster.

    • Lastly, we deploy the seaweedfs-csi-driver Helm chart to our GKE cluster by specifying the Helm chart name and version. We need to provide the appropriate Helm repository where the chart is located.

    Please replace "https://charts.your-repository.org" with the actual repository URL where the seaweedfs-csi-driver Helm chart is hosted. You can find the official Helm repository for the chart or configure it for your private Helm repository if you're using one.

    To initialize and run this Pulumi program, you'll need to follow these steps:

    1. Create a new directory for your Pulumi program and navigate into it.
    2. Run pulumi new typescript to create a new Pulumi TypeScript project.
    3. Replace the contents of index.ts with the code provided above.
    4. Run npm install or yarn install to install the necessary dependencies.
    5. Set up and log in to your Google Cloud account and configure the GCP provider.
    6. Run the command pulumi up to preview and deploy the stack.

    Please make sure you have Pulumi CLI and gcloud SDK installed and logged in. The Pulumi program will handle the rest, establishing the GKE cluster and deploying the seaweedfs-csi-driver Helm chart.