1. Deploy the ts-server helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart on Google Kubernetes Engine (GKE) with Pulumi, you would follow a series of steps:

    1. Set up a new GKE cluster: To run any workloads, including Helm charts, you first need a Kubernetes cluster. Pulumi can be used to provision a new GKE cluster.

    2. Install the Helm chart: Once you have a cluster, you can use Pulumi's helm.v3.Chart class—a component from the Pulumi Kubernetes library—to deploy the Helm chart to your GKE cluster.

    Here's a step-by-step guide in TypeScript, accompanied by a Pulumi program that accomplishes these steps:

    Step 1: Create a GKE cluster

    First, we'll start by defining a new GKE cluster. This is where your applications will be deployed. We're using Pulumi's GCP provider to create this cluster.

    The gcp.container.Cluster resource is used to define the GKE cluster's properties such as location, node configuration, networking, and others.

    Step 2: Deploy the Helm chart

    With the cluster in place, you can deploy the Helm chart. Pulumi's helm.v3.Chart resource directly interacts with Helm and Kubernetes, making it possible to deploy charts in a manner similar to using helm from the command line, but with all the benefits of versioning, configuration, and management that Pulumi offers.

    In the below program, we will:

    • Import necessary packages
    • Create a GKE cluster
    • Deploy the ts-server Helm chart to the cluster

    Here is the complete program:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; const name = "ts-server-chart"; // Create a GKE cluster const cluster = new gcp.container.Cluster(name, { initialNodeCount: 2, nodeConfig: { machineType: "n1-standard-1", // Choose a machine type based on your workload requirements 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 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 pointing to the new cluster const k8sProvider = new k8s.Provider(name, { kubeconfig: kubeconfig }); // Deploy the `ts-server` Helm chart const tsServerChart = new k8s.helm.v3.Chart(name, { chart: "ts-server", // The name of the Helm chart to deploy // You might need to specify the repository where the Helm chart is located using the `repo` argument. version: "0.1.0", // Specify chart values here using `values` or `valueYaml` }, { provider: k8sProvider }); // Export the Helm chart deployment status export const tsServerStatus = tsServerChart.status;

    To use the above Pulumi program, replace the string "ts-server" with the actual name of the Helm chart you want to deploy. If the chart is not hosted in the default Helm chart repositories, you'll also need to specify the repo option where the chart is hosted.

    Please note that to run this program, you'll need to have the Pulumi CLI installed, along with access to a GCP account where you can create GKE clusters. The kubeconfig string allows you to interact with your GKE cluster using kubectl once the cluster is up and running.