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


    To deploy a Helm chart on Google Kubernetes Engine (GKE) using Pulumi, you'll need to complete a few steps:

    1. Set up a GKE cluster: You need a Kubernetes cluster on GKE where you can deploy your Helm chart. This step involves creating a GKE cluster and configuring it appropriately.

    2. Deploy the Helm chart: Once your cluster is set up, you'll use Pulumi's Kubernetes provider to deploy a Helm chart to your GKE cluster.

    Here's how you can do this with Pulumi in TypeScript. The following program outlines the necessary components required to create a GKE cluster and deploy a Helm chart to that cluster.

    Detailed Steps:

    1. Initialize your Pulumi project: This is typically done using pulumi new and selecting the appropriate template.

    2. Install the required Pulumi packages: For GKE, you will need the @pulumi/gcp package, and for deploying a Helm chart, you will use the @pulumi/kubernetes package.

    3. Create a GKE cluster: Define a GKE cluster resource using the @pulumi/gcp package.

    4. Create a Kubernetes provider: Once the GKE cluster is created, use the cluster's credentials to configure a Pulumi Kubernetes provider.

    5. Deploy the Helm chart: Use the @pulumi/kubernetes package to deploy the Helm chart with the Kubernetes provider configured in the previous step.

    Below is the complete Pulumi program for deploying your Helm chart on a GKE cluster:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster. const cluster = new gcp.container.Cluster("my-cluster", { initialNodeCount: 2, nodeConfig: { machineType: "n1-standard-1", }, }); // Export the Cluster name export const clusterName = cluster.name; // Allocate a static IP for the cluster const clusterIp = new gcp.compute.Address("cluster-ip"); // Export the static IP export const clusterStaticIp = clusterIp.address; // Obtain the Kubeconfig for the newly created GKE cluster. 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: access-token: ${masterAuth.accessToken} 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("gkeK8s", { kubeconfig: kubeconfig, }); // Deploy a Helm chart to the GKE cluster. const chart = new k8s.helm.v3.Release("my-helm-chart", { chart: "myfirstdockerkuber", version: "0.1.0", // Replace with the version of your chart // Use namespace: <namespace-name> if you would like to deploy the chart in a specific namespace }, { provider: k8sProvider }); // Export the Helm chart name export const helmChartName = chart.name;

    In the provided code:

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

    • We created a Kubernetes Provider that allows Pulumi to manage Kubernetes resources on the created cluster. The provider uses the kubeconfig from the created GKE cluster.

    • We deployed the myfirstdockerkuber Helm chart using the k8s.helm.v3.Release resource. Please note that you need to replace the version field with the version number of your myfirstdockerkuber Helm chart if it's different.

    • The exports are used to output important information when the Pulumi program is run, including the cluster name, cluster IP, and the Helm chart name.

    To run the program:

    1. Save the code in a file named index.ts.
    2. Ensure you've installed Pulumi CLI and configured Google Cloud credentials.
    3. Execute pulumi up to create the resources. This command will also output the cluster name, cluster IP, and the Helm chart name upon successful completion.

    Please adjust the machineType, initialNodeCount, and Helm chart version based on your specific needs. If your Helm chart needs specific values, you can provide them in the values field of the k8s.helm.v3.Release args.