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

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Pulumi · Accepted Answer

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.

```typescript
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.