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


    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.

    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.