Deploy the canary-operator helm chart on Google Kubernetes Engine (GKE)

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Pulumi · Accepted Answer

To deploy the `canary-operator` Helm chart on Google Kubernetes Engine (GKE), you'll need to go through several steps:

1. **Set up a GKE cluster:** Before you can deploy any applications, you need a Kubernetes cluster. With Pulumi, you can define the cluster declaratively using infrastructure as code.
2. **Configure kubectl:** Once the cluster is up and running, you need to configure `kubectl` to interact with your new cluster. Pulumi also helps you to fetch the kubeconfig from the created GKE cluster, which is necessary for `kubectl` and Helm to interact with the cluster.
3. **Deploy Helm chart:** After setting up `kubectl`, you'll install the `canary-operator` Helm chart. Pulumi provides a resource to deploy Helm charts easily.

Below is a Pulumi program written in TypeScript that shows you how to perform these steps. Make sure you have Pulumi and `gcloud` CLI installed and configured for your GCP account.

First, we'll set up the GKE cluster using the `google-native.container.v1.Cluster` resource from the Pulumi Google Native provider. The `kubernetes.helm.v3.Release` resource from the Pulumi Kubernetes provider will be used to deploy the Helm chart.

Here's the complete program detailing each step:

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

// Step 1: Create a GKE cluster
const gkeCluster = new gcp.container.Cluster("gke-cluster", {
    // Define the properties of the GKE cluster here.
    // For instance, you would specify the initial node count, machine type,
    // node version, etc. These values are placeholders and should be updated
    // based on your requirements.
    initialNodeCount: 2,
    minMasterVersion: "latest",
    nodeVersion: "latest",
    location: "us-central1",
    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 = gkeCluster.name;

// Step 2: Setup kubectl
// After the cluster is created, we fetch the kubeconfig to interact with it.
const kubeconfig = pulumi.
    all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.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
`;
    });

// Export the kubeconfig
export const kubeconfigOutput = kubeconfig;

// Step 3: Deploy the canary-operator Helm chart
// Assuming the Helm chart is publicly available, otherwise, 
// you might need to add repositoryOpts with credentials.
const helmRelease = new k8s.helm.v3.Release("canary-operator", {
    chart: "canary-operator",
    // Replace with the correct version of the Helm chart or remove if not needed.
    version: "0.1.0",
    // The namespace where to install the chart.
    namespace: "default", 
    // Ensure you provide values to Helm chart as per its requirements. 
    // This is just an example and may vary.
    values: {}, 
}, { 
    provider: new k8s.Provider("k8s-provider", {kubeconfig}), 
});

// Export the Helm Release status
export const helmReleaseStatus = helmRelease.status;

```

In the above program:

- First, we create an instance of `gcp.container.Cluster`, which defines the parameters for the new GKE cluster.
- After the cluster is created, we access the `kubeconfig` by `pulumi.all` to apply a transformation on the output properties of the created cluster. This `kubeconfig` allows `kubectl` and other tools to interact with the Kubernetes cluster.
- Finally, we set up a `k8s.helm.v3.Release` to deploy the `canary-operator` Helm chart on the GKE cluster. We specify the chart name, the version (which may be specific to your use case), and any other configuration values that the Helm chart requires.

Please review each placeholder and property to ensure they match your actual requirements, such as the machine types, region, node count, and Helm chart configuration.

After completing the program, you can deploy this infrastructure by running `pulumi up`.

This is a simplified illustration. In a real-world scenario, consider adding more specific configurations for the node pool, networking, IAM roles, and other cloud resources according to the principle of least privilege and your organizational requirements.