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

Question

Pulumi · Accepted Answer

To deploy the CloudBeaver helm chart on Google Kubernetes Engine (GKE), you'll take the following steps:

1. Create a GKE cluster where your application will be deployed.
2. Install the Helm Chart for CloudBeaver onto the cluster.

The following Pulumi program in TypeScript accomplishes these steps. It first defines a GKE cluster using the `gcp.container.Cluster` resource. Next, it uses the `kubernetes.helm.v3.Chart` resource to deploy CloudBeaver using its Helm chart.

Make sure you have Helm chart details for CloudBeaver, like the repository URL where the chart is located and the chart's version you wish to install. You might need to adjust the `chart` and `version` properties according to the available charts.

Here's the full program:

```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("cloudbeaver-cluster", {
    initialNodeCount: 1,
    nodeVersion: "latest",
    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 Cluster name
export const clusterName = cluster.name;

// Export the Cluster 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("gkeK8s", {
    kubeconfig: kubeconfig,
});

// Deploy CloudBeaver Helm chart
const cloudBeaver = new k8s.helm.v3.Chart("cloudbeaver", {
    chart: "cloudbeaver",
    version: "0.1.0", // replace with the actual chart version
    fetchOpts:{
        repo: "http://helm-repository/cloudbeaver", // replace with actual Helm chart repository URL
    },
}, { provider: k8sProvider });

// Export the CloudBeaver frontend service endpoint
export const cloudBeaverFrontend = cloudBeaver.getResource("v1/Service", "cloudbeaver", "cloudbeaver-cb-chart").status.apply(status => status.loadBalancer.ingress[0].ip);
```

### Explanation:

- `gcp.container.Cluster`: Creates a new GKE cluster where your application will be deployed.
- `kubeconfig`: Generates a kubeconfig file that you can use to connect to your cluster with `kubectl`.
- `k8s.Provider`: Instantiates the Kubernetes provider with the generated kubeconfig. This tells Pulumi how to communicate with your GKE cluster.
- `k8s.helm.v3.Chart`: Represents a Helm chart resource. Helm is used for packaging and deploying Kubernetes applications, and here we are specifying the CloudBeaver chart as the application we intend to deploy.

Replace the placeholder values for the `version` and `repo` properties with the actual CloudBeaver Helm chart version and repository URL, respectively.

After setting up your Pulumi account, installing the Pulumi CLI, and configuring your GCP credentials, you can run this program with `pulumi up`. This will provision your GKE cluster and deploy CloudBeaver to it. Once deployed, you can access the CloudBeaver frontend service through the exported IP address.

Remember that deploying resources with Pulumi can result in charges from the cloud provider; in this case, GCP will charge you for the resources used by your GKE cluster and any other resources deployed. Always clean up resources that you no longer need with `pulumi destroy` to avoid unnecessary charges.