Deploy the airbyte-cron helm chart on Google Kubernetes Engine (GKE)

Question

Pulumi · Accepted Answer

To deploy the `airbyte-cron` Helm chart on Google Kubernetes Engine (GKE), we'll follow these steps:

1. **Set up a GKE Cluster**: We'll need a Kubernetes cluster on GKE to deploy the chart. We'll define a cluster resource using Pulumi's GCP provider (`gcp`).

2. **Install the Helm chart**: Once we have the cluster, we will then define a Helm Release using Pulumi's Kubernetes provider. This release will reference the `airbyte-cron` Helm chart.

Below is a comprehensive program that does the following:

- Define a Google Kubernetes Engine cluster.
- Configures Pulumi to use the newly created cluster's context.
- Deploys the `airbyte-cron` Helm chart on the GKE cluster.

Make sure you have Pulumi installed, Google Cloud SDK configured, and you are authenticated with Google Cloud, and have the necessary permissions to create and manage GKE clusters and deploy Helm charts.

Now, let’s look into the TypeScript program:

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

// Step 1: Create a GKE cluster
const name = "airbyte-on-gke";
const k8sCluster = new gcp.container.Cluster(name, {
    initialNodeCount: 1,
    nodeVersion: "latest",
    minMasterVersion: "latest",
    nodeConfig: {
        machineType: "n1-standard-1",
        diskSizeGb: 30,
        // For additional settings like service account or preemptible instances, see GKE's documentation.
    },
});

// Export the Kubeconfig for the GKE cluster
export const kubeconfig = pulumi.
    all([k8sCluster.name, k8sCluster.endpoint, k8sCluster.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 airbyte-cron Helm chart using the GKE cluster
const airbyteCronRelease = new k8s.helm.v3.Release("airbyte-cron", {
    chart: "airbyte-cron",
    version: "0.1.0", // Replace with the actual chart version you want to deploy
    repositoryOpts: {
        repo: "https://charts.airbyte.io" // Replace with the actual Helm chart repository if different
    },
    namespace: "default", // Set the namespace where you want to deploy the Helm chart
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig }) });

// Export the Helm release status
export const releaseStatus = airbyteCronRelease.status;
```

In this program, we first define a `gcp.container.Cluster` resource named `airbyte-on-gke` with one node of type `n1-standard-1`, and the latest available versions for both nodes and master.

We then export the `kubeconfig`, which is required by Pulumi to communicate with our new Kubernetes cluster in Google Cloud. This configuration tells Pulumi how to locate the cluster's endpoint and authenticate against it.

After the cluster is created, we use the Pulumi Kubernetes (`k8s`) provider to deploy the `airbyte-cron` Helm chart. We define a `k8s.helm.v3.Release` resource with the repository and version of the Helm chart we wish to install. Do ensure that you replace the `version` and `repositoryOpts.repo` with the correct values for the `airbyte-cron` chart that you wish to deploy. You might need to specify more configuration parameters depending on the Helm chart’s values.

We’re configuring Pulumi to use the created Kubeconfig as the context for deploying the Helm chart to ensure that Pulumi targets the correct GKE cluster.

Finally, we export `releaseStatus` to access the status of the Helm release after deployment. This can be useful to check if the deployment was successful or debug any issues.

Run the program using the Pulumi CLI:

```bash
pulumi up
```

This command will show you the preview of resources that will be created and, upon confirmation, apply the changes to deploy the GKE cluster and the `airbyte-cron` Helm chart.

Remember, to remove the Pulumi stack and delete all the associated resources, you can run:

```bash
pulumi destroy
```

Always review the details and confirm the deletion before proceeding, as this will tear down the created infrastructure.