Deploy the zipkin-stackdriver-proxy helm chart on Google Kubernetes Engine (GKE)

To deploy a Helm chart on Google Kubernetes Engine (GKE) with Pulumi, you need to perform several steps:

1. Create a GKE cluster: Before deploying the Helm chart, you need a running Kubernetes cluster. The GKE cluster will serve as the environment in which your Helm chart application will be deployed.

2. Set up Kubeconfig: To interact with your GKE cluster, you'll need to configure kubectl with the proper credentials. Pulumi can retrieve the necessary information to do this for you.

3. Deploy the Helm chart: With the GKE cluster running and kubectl configured, you can deploy your Helm chart. The Helm chart for the zipkin-stackdriver-proxy defines the Kubernetes resources needed to run the application.

Let's walk through the detailed Pulumi TypeScript code to perform the deployment.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as k8s from "@pulumi/kubernetes";

// Step 1: Create a GKE cluster
const cluster = new gcp.container.Cluster("gke-cluster", {
    // Define the properties of your cluster here, like machine type, network, etc.
    initialNodeCount: 2,
    minMasterVersion: "latest",
    nodeVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1", // Provided as an example, choose an appropriate type
        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"
        ],
    },
});

// Step 2: Set up Kubeconfig
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
`;
    });

const gkeKubeProvider = new k8s.Provider("gke-kube", {
    kubeconfig: kubeconfig,
});

// Step 3: Deploy the Helm chart
const helmChart = new k8s.helm.v3.Chart("zipkin-stackdriver-proxy", {
    chart: "zipkin-stackdriver-proxy",
    // Your Helm chart might be in a specific repository, specify it here
    fetchOpts:{
        repo: "http://your-helm-chart-repository/",
    },
    // If you have values you want to override, specify them here
    values: {
        // Example of value override
        // service: {
        //     type: "LoadBalancer"
        // }
    },
}, { provider: gkeKubeProvider });

// Export the Kubeconfig and the service endpoint
export const kubeconfigOutput = kubeconfig;
export const serviceEndpoint = pulumi.interpolate`http://${helmChart.getResourceProperty("v1/Service", "zipkin-stackdriver-proxy", "status").apply(status => status.loadBalancer.ingress[0].ip)}`;

In this program:

• GKE Cluster: We create a GKE cluster using gcp.container.Cluster.
• Kubeconfig: This configuration is necessary for kubectl to communicate with your GKE cluster. Here, we create a kubeconfig file using output properties from our previously created GKE cluster.
• Helm Chart Deployment: The k8s.helm.v3.Chart class from the Pulumi Kubernetes provider is used to deploy the zipkin-stackdriver-proxy Helm chart. If this Helm chart requires specific configuration values, you can supply them in the values option.

Lastly, we export the kubeconfig to interact with our cluster using kubectl and the service endpoint once it's available.

Please note that the zipkin-stackdriver-proxy helm chart needs to be available in a Helm repository which you need to specify in the fetchOpts property. The values override in the values property can be adjusted according to the specific chart's options you wish to customize.

Once you deploy this Pulumi program with pulumi up, Pulumi will provision all the resources specified and provide you with the Kubeconfig output that you can use to interact with your GKE cluster.