1. Deploy the variant-service-deployments helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart on Google Kubernetes Engine (GKE) using Pulumi, we must accomplish a few things:

    1. Set up a GKE cluster where the Helm chart will be deployed.
    2. Install and configure the Helm chart on the GKE cluster.

    Here's a breakdown of the necessary steps to deploy the variant-service-deployments Helm chart to GKE using Pulumi with TypeScript:

    Step 1: Create a GKE Cluster

    We'll need to first create a GKE cluster, which will be the environment that runs our Kubernetes services. This involves defining a Cluster resource using the @pulumi/gcp package.

    Step 2: Deploy Helm Chart to the GKE Cluster

    Once we have a cluster, we can deploy our Helm chart to it. This is accomplished by creating a Chart resource from the @pulumi/kubernetes package, which Pulumi uses to manage Kubernetes resources through code, including Helm charts. We'll point this chart to the variant-service-deployments Helm chart and configure it accordingly.

    Pulumi Program for Deploying Helm Chart to GKE

    Below is a TypeScript program that performs the outlined steps to deploy the variant-service-deployments Helm chart to 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-gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // This specifies what kind of machine to use. You can choose a machine type that best fits your needs 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; // Obtain the Kubeconfig after the cluster is created to interact with the GKE cluster 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("my-k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the variant-service-deployments Helm chart const variantServiceChart = new k8s.helm.v3.Chart("variant-service-deployments", { chart: "variant-service-deployments", // Specify where your Helm chart is located fetchOpts: { repo: "http://charts.example.com/", // Replace this with the repository URL of your Helm chart }, // Here you would specify the values for your Helm chart values: { // Change these values based on the configuration options of your specific chart serviceType: "LoadBalancer", replicaCount: 1, }, }, { provider: k8sProvider }); // Export the Helm chart deployment status export const variantServiceDeploymentStatus = variantServiceChart.status;


    • Cluster Creation: We declare a gcp.container.Cluster which defines the configuration for the GKE cluster like node count, machine type, and OAuth scopes needed by nodes for access to GCP services.

    • Kubeconfig Generation: After the cluster is created, we generate the kubeconfig, which is necessary for the Kubernetes provider to interact with the GKE cluster.

    • Kubernetes Provider: We create an instance of the @pulumi/kubernetes provider using the kubeconfig. This provider allows Pulumi to perform operations on our Kubernetes cluster.

    • Helm Chart Deployment: We define a new Helm chart resource using k8s.helm.v3.Chart and specify the variant-service-deployments chart name along with its configuration parameters. Make sure to change the repo URL and values fields to match your Helm chart's repository and specific configuration needs.

    • Exports: We export the cluster's name and the Helm chart deployment status for easy access. The exported values can be used for debugging or integration with other systems.

    Please modify the values for machine types, OAuth scopes, Helm chart repository URL, and chart values as per the actual requirements of your variant-service-deployments Helm chart and GKE configurations. The GKE node OAuth scopes I included are for accessing GCP services like Compute, Storage, Logging, and Monitoring from within the cluster nodes.

    Finally, ensure that you have the appropriate permissions and have set up the gcloud CLI on the machine executing the Pulumi program. The program assumes you've already authenticated using gcloud auth login.