Deploy the tt-workflow-driver helm chart on Digital Ocean Kubernetes Service

Question

Pulumi · Accepted Answer

To deploy a Helm chart on the Digital Ocean Kubernetes Service using Pulumi, we'll perform a series of steps within our TypeScript program:

1. Create a new Kubernetes cluster on DigitalOcean.
2. Use the Pulumi Kubernetes provider to deploy a Helm chart onto the cluster.

We'll use the `digitalocean.KubernetesCluster` resource to provision the cluster and `kubernetes.helm.v3.Chart` to deploy the Helm chart.

Here's a step-by-step program for deploying the `tt-workflow-driver` Helm chart on a Digital Ocean Kubernetes cluster:

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

// Step 1: Create a new DigitalOcean Kubernetes cluster
const cluster = new digitalocean.KubernetesCluster("do-cluster", {
    region: "nyc1",
    version: "latest", // Specify your desired Kubernetes version
    nodePool: {
        size: "s-2vcpu-2gb", // Choose the node size that fits your needs
        name: "default",
        nodeCount: 2, // Specify the number of nodes in the node pool
    },
});

// Export the cluster's kubeconfig
export const kubeconfig = cluster.kubeConfigs.apply((kc) => kc[0].rawConfig);

// Step 2: Deploy a Helm chart onto our DigitalOcean Kubernetes cluster
const kubeconfigProvider = new kubernetes.Provider("kubeconfig-provider", {
    kubeconfig: kubeconfig,
});

const helmChart = new kubernetes.helm.v3.Chart("tt-workflow-driver", {
    chart: "tt-workflow-driver",
    // You might need to specify a repository URL if the chart is not in the default Helm repo
    // e.g., repo: "http://charts.example.com/"
    // If the chart requires custom values, specify them here, for example:
    // values: {
    //     service: {
    //         type: "ClusterIP",
    //     },
    // },
}, { provider: kubeconfigProvider });

// Optionally, if you want to access the chart externally, assuming there's a Service of LoadBalancer type,
// you would wait for it to be allocated an external IP and then export that information.
// For example:
export const frontendIp = helmChart.getResourceProperty("v1/Service", "tt-workflow-driver", "status")
    .apply(status => status.loadBalancer.ingress[0].ip);
```

### Explanation:

- We started by importing the necessary Pulumi packages for DigitalOcean (`@pulumi/digitalocean`) and Kubernetes (`@pulumi/kubernetes`).
- We created a Kubernetes cluster on DigitalOcean with the desired region, Kubernetes version, node size, and number of nodes.
- We exported the `kubeconfig` file which contains the credentials to connect to our Kubernetes cluster.
- A new Pulumi Kubernetes provider was instantiated to interact with our cluster using the `kubeconfig`.
- We then created a new Helm chart resource that targets our DigitalOcean Kubernetes cluster. Make sure you specify any custom values your Helm chart may require.
- Finally, we exported the front-end IP address assuming our Helm chart contained a LoadBalancer service to access the application externally.

Remember to replace `"tt-workflow-driver"` with the correct name of the Helm chart you're using, and you may need to specify the `repo` field with an appropriate value if your chart is hosted in a custom Helm repository that is not the default public one.

To apply this Pulumi program:
1. Ensure you have Pulumi and the necessary cloud CLI tools installed and configured.
2. Save this program to a file named `index.ts`.
3. Run `pulumi up` to execute the Pulumi program that provisions the resources.

This program will create a new Kubernetes cluster on DigitalOcean and deploy the specified `tt-workflow-driver` Helm chart into it. If the Helm chart contains externally accessible services, such as a LoadBalancer, the relevant IP address will be exported for your convenience.