Deploy the kafka-topics-ui helm chart on Digital Ocean Kubernetes Service

Question

Pulumi · Accepted Answer

To deploy the `kafka-topics-ui` Helm chart on Digital Ocean Kubernetes Service using Pulumi, you need to follow these steps:

1. Set up a new Pulumi project in the language of your choice, following the Pulumi documentation.
2. Configure Pulumi to use the Digital Ocean provider.
3. Provision a Kubernetes cluster on Digital Ocean.
4. Use the Pulumi Kubernetes provider to deploy Helm charts.
5. Specifically deploy the `kafka-topics-ui` Helm chart on the newly created Kubernetes cluster.

Below is a Pulumi TypeScript program that accomplishes these steps. I've included comments within the code to explain the purpose of each section and the resources being created.

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

// Step 1: Create a Digital Ocean Kubernetes cluster
const cluster = new digitalocean.KubernetesCluster("do-cluster", {
    // Specify the region where the cluster will be created
    region: digitalocean.Regions.NYC1,
    // Define the version of Kubernetes to use
    version: "latest",
    // Configure the node pool where your workloads will run
    nodePool: {
        size: digitalocean.DropletSlugs.DO_2GB,
        name: "worker-pool",
        nodeCount: 2,
    },
});

// Step 2: Use the created cluster's kubeconfig to interact with the cluster
const kubeconfig = cluster.kubeConfigs[0].rawConfig;

// Step 3: Create a Kubernetes provider instance for Pulumi using the kubeconfig from the Digital Ocean cluster
const k8sProvider = new kubernetes.Provider("k8s-provider", {
    kubeconfig: kubeconfig,
});

// Step 4: Deploy the kafka-topics-ui Helm chart using the Kubernetes provider
const kafkaTopicsUI = new kubernetes.helm.v3.Chart("kafka-topics-ui", {
    // Specify the repo and chart name
    chart: "kafka-topics-ui",
    // Specify the version of the chart to deploy
    version: "latest",
    // You can provide custom values to the chart
    // values: {}, // Uncomment and provide values if needed,
}, { provider: k8sProvider });

// Step 5: Export the cluster's kubeconfig and the service endpoint if needed
export const kubeConfigOutput = pulumi.secret(kubeconfig);
export const kafkaTopicsUIEndpoint = kafkaTopicsUI.getResource("v1/Service", "kafka-topics-ui", "kafka-topics-ui").status.loadBalancer.ingress[0].ip;
```

To run the above program:
1. Make sure that you have Pulumi installed and set up along with Node.js and npm (or yarn).
2. Set up your Digital Ocean token with `pulumi config set digitalocean:token <YOUR_DO_TOKEN>`.
3. Create a new directory for your Pulumi project, change to that directory, and then run `pulumi new`. Choose the TypeScript template when prompted.
4. Replace the contents of `index.ts` with the code above.
5. Run `npm install` to install the necessary dependencies.
6. After you review the code and understand what each part is doing, run `pulumi up` to create the resources in Digital Ocean. pulumi will preview the changes and prompt you before it makes any changes.
7. After successful deployment, you can access the `kafka-topics-ui` service using the exported IP address.

Remember, before deploying, inspect the Helm chart to determine if you need to provide any specific configuration values — those can be supplied in the `values` property of the `kubernetes.helm.v3.Chart` resource.