1. Deploy the kafkacat helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To deploy the kafkacat Helm chart on DigitalOcean Kubernetes Service using Pulumi, you'll first need to provision a Kubernetes cluster on DigitalOcean. After the cluster is up and running, you install the Helm chart into the cluster. Pulumi allows you to define your infrastructure as code using general purpose programming languages. We'll use TypeScript in this instance.

    Before we proceed with the code, let's break down the steps:

    1. Define the Kubernetes cluster using the digitalocean.KubernetesCluster resource.
    2. Once the cluster is provisioned, set up the Kubeconfig so that Pulumi can interact with the new cluster.
    3. Use the kubernetes.helm.v3.Chart resource to deploy the kafkacat Helm chart on the Kubernetes cluster.

    Here's the Pulumi program in TypeScript that completes these steps:

    import * as digitalocean from '@pulumi/digitalocean'; import * as pulumi from '@pulumi/pulumi'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Provision a new DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster('do-cluster', { region: digitalocean.Regions.NYC1, version: 'latest', nodePool: { name: 'default', size: digitalocean.DropletSlugs.DropletS2VCPU2GB, nodeCount: 2, }, }); // Step 2: Define a provider to interact with the new DigitalOcean Kubernetes cluster const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Step 3: Deploy the kafkacat Helm chart into the DigitalOcean Kubernetes cluster const chart = new k8s.helm.v3.Chart('kafkacat-chart', { chart: 'kafkacat', // This name is hypothetical, use the actual chart name available from the Helm repository version: '1.2.3', // Replace with the actual chart version you want to deploy fetchOpts:{ repo: 'http://example.com/helm-charts', // Replace with the actual URL of the Helm repository }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig export const kubeconfig = cluster.kubeConfigs[0].rawConfig;

    Here's a breakdown of the TypeScript program above:

    • We begin by importing the necessary Pulumi modules for DigitalOcean and Kubernetes.
    • We define a Kubernetes cluster with digitalocean.KubernetesCluster. We specify the region, version, and size and count of the nodes.
    • We create a Kubernetes provider instance k8s.Provider, which allows Pulumi to deploy resources into the cluster using the generated kubeconfig.
    • We deploy the kafkacat Helm chart with k8s.helm.v3.Chart. You'll need to replace chart: 'kafkacat' with the actual name of the chart and fill in the repository URL and version number you wish to use.
    • Lastly, we export the kubeconfig which can be used to interact directly with the Kubernetes cluster using Kubernetes command-line tools like kubectl.

    Please take note that the actual Helm chart name for kafkacat may differ, and you should replace the repo URL with the correct Helm repository URL where the kafkacat chart is hosted. Helm repositories often host multiple charts, and you can typically find the chart names and versions in their chart index files or hosted service pages.

    After you have this code saved in a file (index.ts), you will need to:

    1. Install the Pulumi CLI and the required Pulumi packages with npm or yarn.
    2. Log in to your Pulumi service to store and manage state.
    3. Create a new Pulumi project and stack with pulumi new.
    4. Configure your DigitalOcean personal access token using the Pulumi configuration or environment variables.
    5. Run pulumi up to preview and deploy your infrastructure.

    Ensure that you have the kubectl tool installed if you want to interact with your Kubernetes cluster directly once it's created. You could use the exported kubeconfig to set up your kubectl to work with the new cluster.