Deploy the prom2teams helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `prom2teams` Helm chart on Google Kubernetes Engine (GKE), you will need to perform the following steps:

1. Set up a GKE cluster to host your applications
2. Install the Helm CLI tool, which is used to manage Kubernetes applications
3. Deploy the `prom2teams` Helm chart on your GKE cluster

Below is the Pulumi TypeScript program that accomplishes these tasks. I will walk you through each section, providing an explanation of what's happening and why. After the code, I'll explain how you can run it.

First, ensure you have Pulumi installed and configured for use with your Google Cloud account. You also need to have Node.js and `npm` (or `yarn`) installed to run the TypeScript program.

### Program Explanation and Pulumi Setup

**1. Import necessary modules:** We import the required Pulumi and Kubernetes packages. These packages provide the necessary classes and functions to work with GKE and Helm charts.

**2. Create a GKE cluster:** We define a GKE cluster by creating an instance of `gcp.container.Cluster`. This will provision a new GKE cluster in the specified project and zone. You need to provide it a name and any configuration for the node pool that will run our workloads.

**3. Configure k8s provider:** Once we have a cluster, we set up a Kubernetes provider that knows how to communicate with the GKE cluster. This provider needs to obtain the Kubeconfig from the newly created GKE cluster.

**4. Deploy the `prom2teams` Helm chart:** Using the `Chart` class from `@pulumi/kubernetes/helm`, we then deploy `prom2teams`. The `Chart` resource is what Pulumi uses to represent a Helm chart deployment. You will need to set the chart name and version and pass any values that configure `prom2teams` to your liking.

Now, let's see the Pulumi TypeScript program.

### Pulumi TypeScript Program

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

// Step 2: Create a GKE cluster
const cluster = new gcp.container.Cluster("pulumi-gke-cluster", {
    // You can specify additional GKE cluster settings here.
    initialNodeCount: 2,
    nodeVersion: "latest",
    minMasterVersion: "latest",
});

// Step 3: Configure k8s provider
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
`;
    });

const k8sProvider = new k8s.Provider("gkeK8s", {
    kubeconfig: kubeconfig,
});

// Step 4: Deploy the prom2teams Helm chart
const prom2teamsChart = new k8s.helm.v3.Chart("prom2teams", {
    chart: "prom2teams",
    version: "3.2.0", // Specify the version of the chart you wish to deploy
    fetchOpts:{
        repo: "https://prom2teams.github.io/helm", // Specify the Helm chart repository
    },
    // Add any custom values file or configuration
    values: {},
}, { provider: k8sProvider });

export const kubeconfigOutput = kubeconfig; // Export kubeconfig as an output to access the cluster if needed
```

### Running the Program

To run this Pulumi program, save the code into a file called `index.ts` in a new directory. Navigate to this directory in your terminal and run the following commands:

1. `npm install` to install all the required npm modules
2. `pulumi up` to run the program that will provision the resources

The `pulumi up` command will show you a preview of the resources that will be created. Once you confirm, it will start provisioning the GKE cluster and deploying the Helm chart. At the end of the deployment, the `kubeconfig` needed to access the cluster will be printed as an output.

Make sure to replace placeholder values with actual data as required, like the project and zone information in the GKE cluster definition.

This program doesn't install Helm CLI; it assumes you have Helm installed. The `Chart` class within the Pulumi Kubernetes SDK is responsible for interpreting Helm charts and deploying them to the cluster as specified by the supplied configuration.