Deploy the turborepo-remote-cache helm chart on Digital Ocean Kubernetes Service

Question

Pulumi · Accepted Answer

To deploy the `turborepo-remote-cache` Helm chart on the Digital Ocean Kubernetes Service using Pulumi, you will follow these steps:

1. **Set up a Kubernetes Cluster on Digital Ocean**: Use the `digitalocean.KubernetesCluster` resource to create a new Kubernetes cluster. Specify the desired attributes such as the region, version, and node pool configuration.

2. **Deploy the Helm Chart**: Utilize the `kubernetes.helm.v3.Chart` resource to deploy the `turborepo-remote-cache` Helm chart to your Digital Ocean Kubernetes cluster. You'll need to set the repository URL for the Helm chart if it's not in the default Helm chart repository.

Here's a TypeScript program that accomplishes these tasks:

```typescript
import * as digitalocean from "@pulumi/digitalocean";
import * as kubernetes from "@pulumi/kubernetes";

// Create a Digital Ocean Kubernetes cluster
const cluster = new digitalocean.KubernetesCluster("do-cluster", {
    region: "nyc1", // specify the region where you want the cluster to be created
    version: "latest", // use the latest available version of Kubernetes
    nodePool: {
        name: "default",
        size: "s-1vcpu-2gb", // choose the size that suits your needs
        nodeCount: 1, // the number of Droplets to create in the node pool
    },
});

// Create a provider for the above created cluster
const k8sProvider = new kubernetes.Provider("do-k8s-provider", {
    kubeconfig: cluster.kubeConfigs[0].rawConfig,
});

// Deploy the turborepo-remote-cache Helm chart
const turborepoRemoteCache = new kubernetes.helm.v3.Chart("turborepo-cache", {
    chart: "turborepo-remote-cache",
    version: "0.1.0", // replace with the desired chart version
    fetchOpts: {
        repo: "https://charts.yourcompany.com/", // specify the repository URL; change it to the actual Helm repository hosting your chart
    },
}, { provider: k8sProvider });

// Export the cluster's kubeconfig and the service endpoint
export const kubeconfig = cluster.kubeConfigs[0].rawConfig;
export const turborepoRemoteCacheEndpoint = turborepoRemoteCache.getResource("v1/Service", "turborepo-remote-cache").status.apply(status => status.loadBalancer.ingress[0].ip);
```

This script begins by importing the necessary Pulumi packages. The `digitalocean.KubernetesCluster` resource is then created with basic attributes. Adjust the `region`, `size`, and `nodeCount` as required for your setup.

After the cluster creation, a Pulumi Kubernetes provider is set up using the kubeconfig of the newly created cluster, which allows you to interact with the cluster and deploy resources to it.

Next, the `kubernetes.helm.v3.Chart` resource is declared to deploy the `turborepo-remote-cache` Helm chart. You specify the chart name, version, and the repository where the Helm chart is located. Please replace `"https://charts.yourcompany.com/"` with the actual Helm chart repository URL.

Finally, the program exports the `kubeconfig` so you can access your Kubernetes cluster using `kubectl` or other tools, and it exports the endpoint once the `turborepo-remote-cache` service is available through a load balancer, which you'll use to interact with the deployed `turborepo-remote-cache`.

Before running this code with Pulumi, make sure you have the Pulumi CLI and DigitalOcean provider configured with the necessary access tokens. Then, you can simply run `pulumi up` in your terminal to deploy the resources defined in this program.