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

Question

Pulumi · Accepted Answer

To deploy the `openiban` Helm chart on Google Kubernetes Engine (GKE), you'll first need to create a GKE cluster, then install the Helm chart onto your cluster. I'll walk you through the process step by step.

### Step 1: Create a GKE cluster

First, let's define the GKE cluster. We'll use Pulumi's GCP provider to do this. The cluster will consist of a set of worker nodes, which are the machines that run your containerized applications and services.

Here's how you can define a GKE cluster in Pulumi:

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

const cluster = new gcp.container.Cluster("openiban-cluster", {
    initialNodeCount: 2,
    minMasterVersion: "latest", // It's a good practice to specify the version you want to use.
    nodeVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1", // This is a good default machine type, you can adjust it based on your needs.
        oauthScopes: [
            "https://www.googleapis.com/auth/cloud-platform"
        ],
    },
});
```

### Step 2: Configure `kubectl`

Next, you need to set up `kubectl` to interact with the new cluster. Pulumi provides a way to fetch the kubeconfig from your newly created cluster and use it to set up the Kubernetes provider:

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

const k8sProvider = new kubernetes.Provider("k8s-provider", {
    kubeconfig: kubeconfig,
});
```

### Step 3: Deploy the `openiban` Helm chart

Now that you have a GKE cluster and your `kubectl` is configured to manage it, you can deploy the `openiban` Helm chart. If the chart is available from a public Helm repo, you can specify the chart name and version. Assume that `openiban` is available in a public repository, and we've added this repository to our local Helm configuration with the name `openiban-repo`.

```typescript
const openibanRelease = new kubernetes.helm.v3.Release("openiban-release", {
    chart: "openiban",
    repositoryOpts: {
        repo: "https://charts.example.com/",
    },
    version: "1.0.0", 
    namespace: "default",
}, { provider: k8sProvider });
```

### Step 4: Export the Cluster Endpoint

Finally, you might want to export your cluster's endpoint to access it from outside.

```typescript
export const clusterName = cluster.name;
export const clusterEndpoint = cluster.endpoint;
```

### Complete Pulumi Program

Let's put it all together into a complete Pulumi program written in TypeScript.

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

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

// Step 2: Configure kubectl
const kubeconfig = cluster.name.apply(name => {
    return gcp.container.getCluster({
        name: name,
        location: cluster.location,
    }).then(cluster => {
        return cluster.endpoint.apply(ep => {
            return cluster.masterAuth.apply(masterAuth => {
                const context = `${gcp.config.project}_${cluster.location}_${cluster.name}`;
                return `apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: ${masterAuth.clusterCaCertificate}
    server: https://${ep}
  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 kubernetes.Provider("k8s-provider", {
    kubeconfig: kubeconfig,
});

// Step 3: Deploy openiban Helm chart
const openibanRelease = new kubernetes.helm.v3.Release("openiban-release", {
    chart: "openiban",
    repositoryOpts: {
        repo: "https://charts.example.com/",
    },
    version: "1.0.0",
    namespace: "default",
}, { provider: k8sProvider });

// Step 4: Export the Cluster Endpoint
export const clusterName = cluster.name;
export const clusterEndpoint = cluster.endpoint;
```

This program uses the `@pulumi/gcp` and `@pulumi/kubernetes` libraries to create a GKE cluster and configure a Kubernetes provider with the `kubeconfig`. It then deploys the `openiban` Helm chart from a specified repository and version.

Ensure that you have Pulumi installed and configured for GCP access. Once done, you can run this program using the Pulumi CLI:

```bash
pulumi up
```

This command will provision the resources as defined in the program. After the deployment is successful, you can use the exported cluster endpoint to interact with your GKE cluster.

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

Step 1: Create a GKE cluster

Step 2: Configure kubectl

Step 3: Deploy the openiban Helm chart

Step 4: Export the Cluster Endpoint

Complete Pulumi Program

Step 2: Configure `kubectl`

Step 3: Deploy the `openiban` Helm chart