Deploy the hive-webhooks helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `hive-webhooks` Helm chart on Google Kubernetes Engine (GKE), we will use the following high-level steps:

1. Create a GKE cluster using Pulumi's GCP provider. This is the Kubernetes cluster where we will deploy our Helm chart.
2. Once the cluster is up and running, we'll obtain the kubeconfig file, which is needed to communicate with the Kubernetes cluster using `kubectl`.
3. With our cluster ready, we will deploy the `hive-webhooks` Helm chart to it using Pulumi's Kubernetes provider and the `helm.v3.Chart` resource.

The Pulumi program below is written in TypeScript, which requires you to have `node.js` and `npm` installed on your machine beforehand. You should also have the Pulumi CLI installed and have an active GCP account configured with the necessary permissions to create resources.

Here's the TypeScript program with detailed comments explaining each section:

```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 cluster = new gcp.container.Cluster("my-gke-cluster", {
    initialNodeCount: 2,
    minMasterVersion: "latest",
    nodeVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1", // This is the type of machine to use for the nodes. Adjust as necessary.
        oauthScopes: [ // Scopes used by the nodes to interact with Google Cloud services.
            "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"
        ],
    },
    // Depending on your requirements, you may want to configure additional options like networking, IAM, etc.
});

// Step 2: Obtain the kubeconfig for our newly created GKE cluster.
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
`;
    });

// Step 3: Deploy the `hive-webhooks` Helm chart using the kubeconfig obtained in the previous step.
const helmChart = new k8s.helm.v3.Chart("hive-webhooks", {
    chart: "hive-webhooks",
    // Replace with the correct repository if the chart is not in the default Helm repo.
    fetchOpts: { repo: "http://your-helm-chart-repository/" },
    // Specify any custom values you would like to use for this Helm deployment.
    values: {
        // For example:
        // service: {
        //   type: "LoadBalancer",
        // },
        // Such values would expose the webhooks service with an external IP using a LoadBalancer.
    },
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig }) });

// Export the GKE cluster details.
export const clusterName = cluster.name;
export const kubeconfigOutput = kubeconfig;

// Optionally, if the Helm chart provides any endpoints or external IPs, you could export those as well.
// For instance:
// export const serviceEndpoint = helmChart.getResourceProperty("v1/Service", "webhooks-service", "status.loadBalancer.ingress[0].ip");

```

To run this program:

1. Save it in a file named `index.ts`.
2. Ensure you are in the same folder as your `index.ts`, then run `npm init` and `npm install @pulumi/gcp @pulumi/kubernetes @pulumi/pulumi` to create a `package.json` and install the necessary Pulumi NPM packages.
3. Initialize a new Pulumi stack with `pulumi stack init`.
4. Use `pulumi up` to preview and deploy the changes. Confirm the deployment by selecting `yes` when prompted.

After successfully running the program, your GKE cluster should be up and running, with the `hive-webhooks` Helm chart deployed to it.

Remember that you might need to adjust the Helm chart's repository URL and additional values according to the specific `hive-webhooks` Helm chart that you want to deploy.