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

Question

Pulumi · Accepted Answer

To deploy the postfix Helm chart on Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster. Once the cluster is created, you can then use Pulumi's Helm support to deploy the postfix chart to your cluster.

Below is a Pulumi program written in TypeScript that demonstrates how to accomplish this. The program performs the following actions:

1. Creates a GKE cluster.
2. Deploys the postfix Helm chart to the created GKE cluster.

Before this Pulumi program can be run, ensure that you have set up the [Pulumi CLI](https://www.pulumi.com/docs/get-started/install/) and authenticated with Google Cloud by running `gcloud auth login` and `gcloud config set project [YOUR_GCP_PROJECT]`.

Here is the TypeScript program:

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

// Create a GKE cluster.
const cluster = new gcp.container.Cluster("my-gke-cluster", {
    initialNodeCount: 2,
    nodeVersion: "latest",
    minMasterVersion: "latest",
    nodeConfig: {
        preemptible: true,
        machineType: "n1-standard-1",
        oauthScopes: [
            "https://www.googleapis.com/auth/cloud-platform",
        ],
    },
});

// Export the Cluster name
export const clusterName = cluster.name;

// Export the Kubeconfig to access the cluster with kubectl
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
`;
});

// Create a Kubernetes provider instance that uses our cluster from above.
const k8sProvider = new k8s.Provider("my-k8s-provider", {
    kubeconfig: kubeconfig,
});

// Deploy postfix Helm chart to the created GKE cluster using the K8s provider.
const postfixChart = new k8s.helm.v3.Chart("postfix", {
    chart: "postfix",
    // You'll need to provide the correct repository where the postfix chart is located
    fetchOpts: { 
        repo: "https://charts.bitnami.com/bitnami",
    },
}, { provider: k8sProvider });

// Export the Helm chart resources
export const chartResources = postfixChart.resources;
```

In this program:
- We define a GKE cluster with two initially created nodes using the `gcp.container.Cluster` resource.
- `initialNodeCount` is the number of nodes to be created, which is set to 2.
- `nodeVersion` and `minMasterVersion` specify the version of Kubernetes to use on the nodes and master.
- `nodeConfig` describes the configuration of the nodes. Here, `preemptible` is set to `true` to reduce costs, and the `machineType` is set to `n1-standard-1`.
- The OAuth scopes specified for the nodes allow all Google Cloud services to be accessed by the cluster.
- After the cluster is defined, we export the cluster name and generate a kubeconfig file that can be used to interact with the cluster via `kubectl`.
- A `k8s.Provider` is then set up using this kubeconfig, which is necessary to interact with the created cluster.
- Finally, we deploy the postfix Helm chart to our GKE cluster using the `k8s.helm.v3.Chart` resource. Note that the Helm chart name ("postfix") and repository URL ("https://charts.bitnami.com/bitnami") should be specified according to the Helm chart you intend to deploy.
- We export the resources created by the Helm chart for reference purposes.

To run this program, save it to a file (e.g., `index.ts`), then execute it using the Pulumi CLI with the commands `pulumi up` to create the resources. Once you're done, run `pulumi destroy` to clean up the resources.