Deploy the signalling-server helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy a Helm chart on a Google Kubernetes Engine (GKE) cluster, we follow these steps:

1. Create a GKE cluster using the `google-native.container/v1beta1.Cluster` resource. This represents a Kubernetes cluster in GKE.
2. Once the cluster is up and running, configure Pulumi to use the newly created cluster's context so that it can deploy resources to it.
3. Install the `signalling-server` Helm chart into the cluster using the `kubernetes.helm.sh/v3.Release` resource. This resource represents a Helm release, and it allows us to specify a Helm chart to be deployed, along with configuration parameters if necessary.

Below is a Pulumi program written in TypeScript that sets up a GKE cluster and then deploys the `signalling-server` Helm chart to it. Before running this program, make sure you have the Pulumi CLI installed, GCP configured with credentials, and necessary permissions are set up to create resources in GCP and to manage Kubernetes clusters.

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

// Step 1: Create a Google Kubernetes Engine (GKE) cluster
const cluster = new gcp.container.Cluster("signalling-server-cluster", {
    // Specify the location of your cluster
    location: "us-central1",
    // Define the initial number of nodes for the cluster
    initialNodeCount: 2,
    // Define the machine type for GKE nodes
    nodeVersion: "latest",
    minMasterVersion: "latest",
    nodeConfig: {
        // Standard machine type used for the nodes
        machineType: "n1-standard-1",
        // Define the OAuth scopes to assign to nodes
        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;

// Step 2: Use a K8s provider instance to interact with the GKE cluster
const k8sProvider = new k8s.Provider("k8s-provider", {
    kubeconfig: cluster.kubeConfigRaw,
});

// Step 3: Deploy the signalling-server Helm chart on the GKE cluster
const signallingServerRelease = new k8s.helm.v3.Release("signalling-server", {
    chart: "signalling-server", // The name of the chart in the Helm repository
    // Specify any specific configuration for the Helm chart, if needed
    values: {
        // Example: If the Helm chart requires specifying a service type
        service: {
            type: "ClusterIP",
        },
    },
}, { provider: k8sProvider });

// Export the Helm release's name
export const signallingServerReleaseName = signallingServerRelease.name;
```

This program does the following:
- Defines a GKE cluster configuration with a specified number of nodes and machine types. The location is also set to `us-central1`.
- Creates a GKE cluster resource, which GCP will provision.
- Configures the Kubernetes provider with the kubeconfig from the newly created GKE cluster, allowing Pulumi to communicate with your cluster.
- Deploys the `signalling-server` Helm chart to the GKE cluster with a Kubernetes Helm Release resource. We specify the chart name directly, and for this example, we marked the release with a `ClusterIP` service type as a placeholder for actual values you might want to configure.

To run this program, you would need to:
- Place the TypeScript code in a file named `index.ts`.
- Run `pulumi up` in the same directory as your `index.ts` file to create the cluster and deploy the Helm chart.

Keep in mind that you'll need to have the Helm chart for the `signalling-server` available in a Helm repository that your Pulumi program has access to. If it's a private repository, you'll need to include configuration for accessing that repository as well.