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


    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.

    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.