Deploy the copilot-gpt4-service helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `copilot-gpt4-service` Helm chart on Google Kubernetes Engine (GKE), you will need to follow these steps:

1. **Create a GKE Cluster**: First, you need to provision a new GKE cluster or use an existing one where Pulumi will deploy the Helm chart.
2. **Setup Helm and K8s Providers**: Pulumi requires both the `kubernetes` and `helm` providers to manage resources on GKE and deploy Helm charts.
3. **Deploy the Helm Chart**: Once the GKE cluster is available, and the providers are set up, you can use Pulumi to deploy the `copilot-gpt4-service` Helm chart.

Below is a Pulumi program in TypeScript that demonstrates these steps. Make sure you have installed the Pulumi CLI, configured the GCP provider, and set up the Pulumi new project before running this program.

```typescript
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 clusterName = "gpt4-service-cluster";
const cluster = new gcp.container.Cluster(clusterName, {
    // You can specify additional settings like machine type, node count, etc.
    initialNodeCount: 3,
});

// Export the Kubeconfig for the GKE cluster. This is used by the Helm chart to deploy services.
export 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 2: Set up the Kubernetes provider to deploy the Helm chart
const k8sProvider = new k8s.Provider(clusterName, {
    kubeconfig: kubeconfig,
});

// Step 3: Deploy the Helm chart
const chartName = "copilot-gpt4-service";
const serviceChart = new k8s.helm.v3.Chart(chartName, {
    // Change the repository to point to the one where your chart is located,
    // and specify the version if necessary
    chart: "copilot-gpt4-service",
    fetchOpts: {
        repo: "http://your-chart-repo/",
    },
    // Define any values that you want to override in the Helm chart
    // For example, you might want to deploy a specific version of the service
    values: {
        image: {
            tag: "latest",
        },
    },
}, { provider: k8sProvider });

// Optionally, you can export the service endpoint if your Helm chart
// creates a Kubernetes service of type LoadBalancer or NodePort.
export const serviceEndpoint = serviceChart.getResourceProperty("v1/Service", "copilot-gpt4-service", "status").apply(status => {
    return status.loadBalancer.ingress[0].ip;
});

```

Here's an explanation of the key elements of this Pulumi program:

- `gcp.container.Cluster`: This resource provisions a GKE cluster where the Helm chart will be deployed. You can adjust the `initialNodeCount` as needed for your service's workload.
- `kubeconfig`: This exported value generates the kubeconfig file content Pulumi uses to communicate with the GKE cluster.
- `k8s.Provider`: The Kubernetes provider configures Pulumi to interact with the Kubernetes API server using the exported kubeconfig.
- `k8s.helm.v3.Chart`: This resource is used to deploy a Helm chart onto the Kubernetes cluster. It requires the chart name, and optionally, a repository URL and a set of values to override default Helm chart settings.
- `serviceEndpoint`: If the Helm chart exposes a service, you may export the endpoint to access it publicly.

Remember to replace `http://your-chart-repo/` with the actual repository URL where the Helm chart for `copilot-gpt4-service` is hosted.

After you've set up your Pulumi project and written this code in `index.ts` file, you can deploy the resources by running `pulumi up` in your terminal. Pulumi will provision the necessary GKE cluster resources and deploy your Helm chart.