1. Deploy the burger-app helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart on Google Kubernetes Engine (GKE) involves several steps:

    1. Provision a GKE Cluster: First, you need to create a GKE cluster, which is a managed Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Google Cloud.

    2. Install and Configure kubectl: After the cluster is provisioned, you need to configure kubectl to interact with it. This typically involves obtaining credentials for the cluster, so kubectl can access it.

    3. Deploy the Helm Chart: Helm helps manage Kubernetes applications through Helm charts, which are packages of pre-configured Kubernetes resources. To deploy an application, you apply the Helm chart to your cluster.

    The following TypeScript program using Pulumi performs these steps. Make sure you have Pulumi and gcloud CLI installe, and you are authenticated with Google Cloud with necessary privileges to create and manage GKE clusters.

    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("burger-app-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", 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 access the cluster with 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, }); // Deploy the burger-app Helm chart to the GKE cluster. const burgerAppChart = new k8s.helm.v3.Release("burger-app-chart", { chart: "burger-app", version: "1.0.0", // replace with the actual chart version namespace: "default", // Set to the namespace where you want to deploy the chart. // Helm will create the namespace if it doesn't exist. }, { provider: k8sProvider }); // Export the burger-app's service endpoint. export const burgerAppServiceEndpoint = burgerAppChart.status.apply(status => status);


    • GKE Cluster: This block creates a GKE cluster using the Cluster class from the @pulumi/gcp package. Here we define the initial number of nodes (initialNodeCount) and machine type for each node.

    • Kubeconfig: This configuration is critical for kubectl and Pulumi's Kubernetes provider to interact with your GKE cluster. It contains the necessary cluster access information.

    • Kubernetes Provider: The k8s.Provider class is from the @pulumi/kubernetes package. It represents the Kubernetes provider for Pulumi and is configured to use the exported kubeconfig.

    • Helm Chart: k8s.helm.v3.Release represents a Helm chart. In this case, it is the burger-app Helm chart. You will need to replace "1.0.0" with the actual version of your Helm chart.

    • Service Endpoint: This line exports the Helm release status, which may include information on service endpoints after deployment.

    To run this Pulumi program:

    1. Ensure Pulumi is installed and configured with your Google Cloud credentials.
    2. Save this script to a file with a .ts extension.
    3. Run pulumi up in the command line within the directory of your script.

    This program will provision a new GKE cluster, configure the Kubernetes provider to use the cluster, and deploy the Helm chart. After the deployment, you will see the service endpoint as part of the outputs.