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

Question

Pulumi · Accepted Answer

To deploy the Quarkus Helm chart on Google Kubernetes Engine (GKE), we'll go through the following steps:

1. Set up a GKE cluster.
2. Deploy the Quarkus Helm chart to the GKE cluster.

We need to create a GKE cluster first because this is where our application will run. Google Kubernetes Engine is a managed environment for running containerized applications on Google Cloud.

Once the cluster is set up, we'll use the Pulumi Kubernetes provider to deploy the Quarkus Helm chart. Helm is a package manager for Kubernetes, which allows us to define, install, and upgrade complex Kubernetes applications.

Here's how you can accomplish this using Pulumi with TypeScript:

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

// Create a GKE cluster
const cluster = new gcp.container.Cluster("quarkus-cluster", {
    initialNodeCount: 2,
    minMasterVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1",
        oauthScopes: [
            "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 Kubeconfig
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("k8s-provider", {
    kubeconfig: kubeconfig,
});

// Deploy the Quarkus Helm chart
const quarkusHelmChart = new k8s.helm.v3.Chart("quarkus-helm-chart", {
    chart: "quarkus",
    version: "1.0.0", // specify the version of the chart
    fetchOpts:{
        repo: "http://helm-repository-url/", // replace with the URL of your Helm chart repository
    },
    // Set Helm chart values
    values: {},
}, { provider: k8sProvider });

// Export the Helm Chart deployment status
export const helmDeploymentStatus = quarkusHelmChart.status;
```

In the provided program,

- We import the necessary Pulumi libraries and create a new GKE cluster with the desired configuration.
- We then export the `kubeconfig`, which is necessary for the Kubernetes provider to interact with our GKE cluster.
- We instantiate a new Kubernetes provider with the `kubeconfig` from the newly created cluster.
- Following that, we deploy the Quarkus Helm chart using the `k8s.helm.v3.Chart` class. You must specify the `chart` name and the `version`, and provide the `repo` URL where the Helm chart is hosted.
- Finally, we export the status of the Helm deployment so you can check it later.

To apply this Pulumi program, you need to set up the Pulumi CLI, authenticate with Google Cloud, and then run `pulumi up` in the directory where your `index.ts` file is located.

Remember to replace the chart `version`, and `repo` URL with actual values specific to your Quarkus Helm chart. If your Helm chart requires additional configuration, you would specify that in the `values` field of the `Chart` resource.