1. Deploy the namespace-reader helm chart on Digital Ocean Kubernetes Service


    To deploy the "namespace-reader" Helm chart on the Digital Ocean Kubernetes Service using Pulumi, we'll need to perform several steps:

    1. Create a Digital Ocean Kubernetes cluster.
    2. Install the Helm chart to the cluster.

    We are using the digitalocean.KubernetesCluster resource to create a Kubernetes cluster on Digital Ocean. After setting up the cluster, we will use the kubernetes.helm.v3.Chart resource that allows us to deploy a Helm chart on a Kubernetes cluster.

    Let's break down the Pulumi program for these tasks:

    Step 1: Set up the Digital Ocean Kubernetes Cluster

    The digitalocean.KubernetesCluster resource creates a managed Kubernetes cluster on Digital Ocean. It requires properties like the region for where the cluster is hosted, version for the version of Kubernetes, nodePool for defining the details of the pool of Droplets (Virtual Machines) that form your Kubernetes nodes.

    Step 2: Install the Helm Chart

    For the Helm chart, we'll use kubernetes.helm.v3.Chart that allows you to install Helm charts into your Kubernetes cluster. This is a dynamic resource that can represent any Helm chart from any repository, with custom values.

    Here's an example of a Pulumi program that accomplishes both steps:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Create a Digital Ocean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc1", // Example region, choose the preferred one version: "1.21.5-do.0", // Use the version that best matches your needs nodePool: { name: "default", size: "s-2vcpu-2gb", // The Droplet size to use for your nodes nodeCount: 2, // Number of nodes to have in the pool }, }); // Step 2: Deploy the namespace-reader Helm chart on the cluster const helmChart = new kubernetes.helm.v3.Chart("namespace-reader", { chart: "namespace-reader", // Replace with the correct chart name // You also need to specify the repository where the chart is hosted. // If the chart is in a private repository, you should configure the // Helm provider with the appropriate credentials. // e.g., // repo: "https://charts.example.com/", // Specify namespace if needed, it will default to 'default' if not provided. // namespace: "my-namespace", }, { provider: new kubernetes.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Optional: Export the Kubernetes cluster's name and kubeconfig export const clusterName = cluster.name; export const kubeConfig = cluster.kubeConfigs[0].rawConfig;

    This TypeScript program sets up a new Kubernetes cluster on Digital Ocean and deploys the "namespace-reader" Helm chart to it. Here are some important things to note:

    • Make sure the region, version, chart, etc., are updated to the correct values that match your specific requirements.
    • The kubeconfig attribute from the cluster is passed to the Kubernetes provider, which is itself passed to the Helm chart to ensure that the chart is installed on the correct cluster.
    • In the case where the chart is stored on a private repository, you would need to include repo in the arguments to Chart, and configure the kubernetes.Provider with appropriate access credentials.

    Please remember to replace "namespace-reader" and repo with the actual Helm chart name and its repository URL, respectively. If you need to specify a different namespace or additional configurations, you can do so by adding or modifying the properties in the helmChart resource.

    To run this Pulumi program:

    1. Install Pulumi and set up the Pulumi CLI with your preferred cloud account.
    2. Create a new directory and navigate into it.
    3. Create a new Pulumi project with pulumi new typescript.
    4. Replace the contents of index.ts with the provided program above.
    5. Run pulumi up to deploy your resources to the cloud.

    You can track the progress in the terminal and, once complete, you'll see the outputs you have exported, like the cluster name and the kubeconfig. The kubeconfig is typically used to access your Kubernetes cluster but be careful with handling this securely as it grants administrative access to the cluster.