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

Question

Pulumi · Accepted Answer

In this program, we'll deploy the Apache OFBiz Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi with TypeScript.

The steps you'll see in the program are:

1. Create a GKE cluster using the `google-native.container/v1beta1.Cluster` resource.
2. Deploy the OFBiz Helm chart onto the GKE cluster using the `kubernetes.helm.sh/v3.Release` resource.

To successfully use the following program, ensure you have the following prerequisites met:

- Pulumi CLI installed
- Google Cloud SDK installed and configured
- Kubernetes CLI (kubectl) installed
- A Google Cloud Platform project with billing enabled
- The required permissions to create and manage GKE clusters and to deploy Helm charts

Here's a detailed breakdown of the Pulumi program:

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

// Step 1: Create a GKE cluster
const cluster = new gcp.container.Cluster("ofbiz-cluster", {
    initialNodeCount: 2,
    nodeVersion: "latest",
    minMasterVersion: "latest",
});

// Export the Kubeconfig so we can connect to the cluster
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 OFBiz Helm chart
const ofbizChart = new k8s.helm.v3.Chart("ofbiz", {
    chart: "ofbiz",
    fetchOpts: {
        repo: "https://helm.chart.url/where/ofbiz/is", // Replace with the URL of the Helm chart repo where the OFBiz chart is located
    },
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig }) });

// Step 3: Export the URL to access OFBiz
const frontendService = ofbizChart.getResource("v1/Service", "ofbiz-ofbiz");
export const ofbizUrl = frontendService.status.apply(status => {
    return `http://${status.loadBalancer.ingress[0].ip}`;
});
```

Here's a detailed explanation:

- We begin by importing the necessary libraries to work with GCP, Kubernetes, and Pulumi.
- A GKE cluster is created with `gcp.container.Cluster`. Here, we specify the initial number of nodes in the cluster.
- We export the kubeconfig needed to authenticate against the GKE cluster.
- We declare a new Helm chart deployment using `k8s.helm.v3.Chart`. This resource manages the deployment of the OFBiz Helm chart. 
- `chart` refers to the name of the chart we wish to deploy, which is `ofbiz` in this case.
- `fetchOpts.repo` should be replaced with the actual Helm repository URL that contains the OFBiz chart.
- We specify a `k8s.Provider` for the Helm chart, which uses the kubeconfig for the GKE cluster.
- We then export an `ofbizUrl`, which gives us the external IP to access the OFBiz application, assuming it creates a load balancer with an external IP.

After running this program with Pulumi, the Apache OFBiz application will be deployed and accessible on the GKE cluster. Remember to replace the Helm chart repository with the actual repository containing the Apache OFBiz Helm chart.