Deploy the tsaas helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

In order to deploy a Helm chart to Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster where the Helm chart can be deployed. After the cluster has been created and is running, you can then proceed with the deployment of your Helm chart using Pulumi's Kubernetes provider.

Below is a Pulumi program written in TypeScript that performs these steps:

1. Creates a GKE cluster.
2. Deploys a Helm chart (assuming `tsaas` is the name of the chart) to the GKE cluster.

The Pulumi program uses the `@pulumi/gcp` and `@pulumi/kubernetes` packages to interact with GCP and Kubernetes respectively. Make sure you have installed these packages via npm before running the program:

```bash
npm install @pulumi/gcp @pulumi/kubernetes
```

Here's the complete Pulumi program to deploy the `tsaas` Helm chart on GKE:

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

// Step 1: Create a Google Kubernetes Engine cluster
const cluster = new gcp.container.Cluster("tsaas-cluster", {
    initialNodeCount: 2, // Specify the number of nodes in the node pool
    minMasterVersion: "latest", // Use the latest version of Kubernetes for the master
    nodeConfig: {
        machineType: "n1-standard-1", // Specify the machine type for the nodes
        oauthScopes: [ // Define the set of Google API scopes for the node service accounts
            "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 and kubeconfig
export const clusterName = cluster.name;
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: Deploy the tsaas Helm chart
const tsaasChart = new k8s.helm.v3.Chart("tsaas", {
    chart: "tsaas", // The name of the chart in the repository
    version: "1.0.0", // The version of the chart to deploy
    // Override default configuration values here if necessary
    values: {
        // ... Specify any specific configuration values for the tsaas Helm chart
    },
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }) });

// Export the Helm chart deployment status
export const tsaasDeploymentStatus = tsaasChart.status;
```

**Explanation:**

- We create a GKE cluster called `tsaas-cluster`, with a node pool that initially contains 2 nodes.
- We use the `minMasterVersion: "latest"` to ensure the master node is using the latest available version of Kubernetes supported by GKE.
- The `nodeConfig` section defines the configuration of the nodes. Here we specify the machine type and the OAuth scopes that the node service account will have.
- In the `kubeconfig` section, we construct a kubeconfig file that enables us to interact with the GKE cluster.
- Using `tsaasChart`, we deploy the `tsaas` Helm chart to the GKE cluster we created. The `version: "1.0.0"` specifies the version of the chart we want to deploy. If the Helm chart requires specific configuration values, they can be provided in the `values` section.
- The `provider` option specifies the Kubernetes Provider to use, which is constructed with the `kubeconfig` we created for the cluster.
- We export the `clusterName` and `kubeconfig` so that they can be easily accessed, for instance to connect via `kubectl` or for other purposes.
- The `tsaasDeploymentStatus` export gives us the deployment status of the Helm chart in our GKE cluster.

**Note:** Before running this program, ensure that you have authenticated with GCP and set up Pulumi with the correct credentials. Additionally, you need to have Helm and `kubectl` installed on your local machine if you wish to interact with the Kubernetes cluster and Helm charts directly. The actual Helm chart `tsaas` needs to be available in a Helm repository; if it's a custom chart, you'll need to add the repository using Helm commands or define it directly in the Pulumi program.