1. Deploy the cyber-dojo helm chart on Digital Ocean Kubernetes Service


    To deploy the cyber-dojo Helm chart on DigitalOcean Kubernetes Service using Pulumi, we'll break down the process into two main steps:

    1. Provision a Kubernetes cluster in DigitalOcean.
    2. Deploy the cyber-dojo Helm chart to the cluster.

    Provisioning a Kubernetes Cluster in DigitalOcean

    We will use the digitalocean.KubernetesCluster resource to create a new Kubernetes cluster. This resource requires specifying some essential properties such as the region, the version of Kubernetes, the name of the cluster, node pool details, and optionally tags to categorize the cluster.

    Deploying the cyber-dojo Helm Chart to the Cluster

    To deploy the Helm chart, we will make use of the kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider. The Chart resource allows us to specify the chart to deploy along with a values object that can override the default values in the chart.

    Below is a Pulumi program in TypeScript that demonstrates how to achieve these tasks.

    import * as pulumi from '@pulumi/pulumi'; import * as digitalocean from '@pulumi/digitalocean'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Provision a Kubernetes Cluster in DigitalOcean const cluster = new digitalocean.KubernetesCluster('cyber-dojo-cluster', { // Specify the region for your cluster - choose a region close to your user base region: "nyc3", // Use an established version of Kubernetes version: "latest", // Optional: Set a name for your cluster name: "cyber-dojo-k8s", // Define your node pool with the desired specifications nodePool: { name: "default", size: "s-2vcpu-2gb", nodeCount: 2, // Optional: Adjust the count as per your requirements tags: ["cyber-dojo"] // Optional: Tags to organize and categorize your DigitalOcean resources }, // Additional optional fields can be set here }); // Step 2: Deploy the cyber-dojo Helm chart to the cluster // Ensure that the Kubernetes provider uses the kubeconfig from the newly created cluster const k8sProvider = new k8s.Provider('k8s-provider', { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the cyber-dojo Helm chart const cyberDojoChart = new k8s.helm.v3.Chart('cyber-dojo', { chart: "cyber-dojo", version: "0.2.3", // Replace with the desired chart version fetchOpts: { repo: "https://cyber-dojo.github.io/", // The repository URL of the cyber-dojo chart }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig and endpoint export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const clusterEndpoint = cluster.endpoint;

    Detailed Explanation

    • We begin by importing the necessary Pulumi modules for DigitalOcean and Kubernetes.
    • We define digitalocean.KubernetesCluster with the necessary specification to provision a new Kubernetes cluster. You can customize node pool size, number of nodes, and name based on your requirements.
    • We utilize k8s.Provider to create an instance of the Kubernetes provider configured with the kubeconfig of our newly created cluster. This tells the Pulumi Kubernetes provider to target our DigitalOcean Kubernetes cluster.
    • Finally, we deploy the cyber-dojo Helm chart using k8s.helm.v3.Chart, which references the Helm repository for cyber-dojo and specifies the version of the chart to deploy. The { provider: k8sProvider } option associates this Helm chart with our Kubernetes cluster on DigitalOcean.
    • We export the kubeconfig and clusterEndpoint at the end, allowing you to interact with the Kubernetes cluster using tools like kubectl.

    After deploying the Pulumi program, you can manage and access your cyber-dojo environment on the DigitalOcean Kubernetes cluster. Remember to replace 0.2.3 with the actual version of the cyber-dojo Helm chart you wish to deploy, and set any additional configuration options that are specific to cyber-dojo within the properties for the Chart resource.

    To run this Pulumi program, save the code to a file named index.ts, and run pulumi up via the Pulumi CLI. This will start the deployment process, and you'll be able to monitor the progress in your terminal. Once the deployment is complete, you will get the output of the kubeconfig and cluster endpoint, which you can use to access your Kubernetes cluster and deployed applications.