Deploy the ibm-nodejs-express helm chart on Digital Ocean Kubernetes Service

Question

Pulumi · Accepted Answer

To deploy a Helm chart of `ibm-nodejs-express` on DigitalOcean Kubernetes Service using Pulumi, you'll follow these general steps:

1. Set up a new Pulumi project and select the DigitalOcean cloud provider.
2. Provision a DigitalOcean Kubernetes cluster.
3. Deploy the `ibm-nodejs-express` Helm chart on the provisioned Kubernetes cluster.

Below is a TypeScript program that defines these steps. We'll be using the `@pulumi/digitalocean` package to create the Kubernetes cluster on DigitalOcean and the `@pulumi/kubernetes` package to deploy the Helm chart.

Before you can run this program, make sure you have Pulumi installed and you are authenticated with DigitalOcean (either via the `doctl` CLI or by setting the `DIGITALOCEAN_ACCESS_TOKEN` environment variable).

Here's the TypeScript program that establishes the deployment:

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

// Create a DigitalOcean Kubernetes cluster
const cluster = new digitalocean.KubernetesCluster("do-cluster", {
    // Specify the region where you want to create your cluster
    region: "nyc3",
    // Define the version of Kubernetes
    version: "1.21.x",
    // Configure the node pool
    nodePool: {
        size: "s-1vcpu-2gb",
        name: "default",
        nodeCount: 2,
    },
});

// Once the cluster is created, we can use its kubeconfig to connect to it
const provider = new kubernetes.Provider("k8s-provider", {
    kubeconfig: cluster.kubeConfigs[0].rawConfig,
});

// Deploy the ibm-nodejs-express Helm chart
const chart = new kubernetes.helm.v3.Chart("ibm-nodejs-express-chart", {
    chart: "ibm-nodejs-express",
    // Specify the repository containing the chart
    fetchOpts: {
        repo: "https://charts.your-repository.org/",
    },
    // Specify the namespace (optional, defaults to 'default' if not set)
    namespace: "production",
}, { provider });

// Export the DigitalOcean Kubernetes cluster's name and endpoint
export const cluster_name = cluster.name;
export const cluster_endpoint = cluster.endpoint;

```

### Explanation

1. We start by importing the required libraries from Pulumi, specifically the `@pulumi/digitalocean` for provisioning resources on DigitalOcean and `@pulumi/kubernetes` for working with Kubernetes resources.

2. We create a DigitalOcean Kubernetes cluster object with `new digitalocean.KubernetesCluster`. In this case, it's named `do-cluster`. The region, Kubernetes version, node size (the size of the droplets), and node count are specified in the configurations.

3. We instantiate a Kubernetes provider utilizing the Kubeconfig provided by the DigitalOcean cluster, which is needed to communicate with the cluster.

4. Next, we deploy the `ibm-nodejs-express` Helm chart using the `@pulumi/kubernetes` library. We specify that we want to use the chart called `ibm-nodejs-express` and provide the URL to the Helm repository that hosts the chart. The `namespace` field is an optional parameter that will place our Helm chart into the `production` namespace on our cluster.

5. Finally, we export the cluster's name and endpoint as stack outputs. These outputs allow us to easily retrieve information about the deployed infrastructure, such as how to access the Kubernetes API server later.

To run the program:
1. Save the code in a file named `index.ts`.
2. Install the required packages using NPM:
   - `npm install @pulumi/pulumi @pulumi/digitalocean @pulumi/kubernetes`
3. Run `pulumi up` to preview and deploy the changes. Pulumi CLI will show a preview of the resources that will be created and ask for confirmation before provisioning those resources.

Remember that this code assumes that the Helm chart `ibm-nodejs-express` is available in the specified repository. If the chart is hosted in a different Helm repository, you will need to adjust the `repo` field in the `fetchOpts` accordingly.

Once the deployment is successful, you should be able to access your `ibm-nodejs-express` application running on your DigitalOcean Kubernetes cluster.