Deploy the mageai helm chart on AWS EKS

Question

Pulumi · Accepted Answer

In this program, we will deploy the `mageai` Helm chart on an AWS EKS (Elastic Kubernetes Service) cluster using Pulumi. We'll create an EKS cluster and then use the Helm package manager to deploy the `mageai` chart onto the cluster. Throughout the code, you'll find comments explaining each step and the resources used.

We will use the following Pulumi resources:
- `eks.Cluster`: This resource is used to provision an EKS cluster where our Helm chart will be deployed. You can find more information about this resource in the [EKS Cluster documentation](https://www.pulumi.com/registry/packages/eks/api-docs/cluster/).
- `helm.v3.Chart`: Although not directly provided in the search results, it's a common resource for deploying Helm charts in Pulumi's Kubernetes package. The `Chart` resource wraps Helm deployment logic.

Let's begin with a TypeScript Pulumi program to accomplish this:

```typescript
import * as pulumi from '@pulumi/pulumi';
import * as aws from '@pulumi/aws';
import * as eks from '@pulumi/eks';
import * as k8s from '@pulumi/kubernetes';

// Step 1: Create an EKS cluster.
const cluster = new eks.Cluster("my-eks-cluster", {
    // Specify the desired capacity and size of the cluster.
    desiredCapacity: 2,
    minSize: 1,
    maxSize: 2,
    // Optionally, you can customize your cluster further with other properties.
});

// Step 2: Deploy the mageai Helm chart into the created EKS cluster.
const mageaiChart = new k8s.helm.v3.Chart("mageai", {
    chart: "mageai",
    // Specify the chart repository containing the mageai chart.
    fetchOpts: {
        repo: "https://mage.github.io/charts/",
    },
    // Here you can define values to override the defaults in the Helm chart.
    values: {
        // For example, you can specify the number of replicas, image version etc.
    },
}, { provider: cluster.provider });

// Export the cluster's kubeconfig and the mageai service URL when complete.
export const kubeconfig = cluster.kubeconfig;
export const mageaiServiceUrl = mageaiChart.getResourceProperty("v1/Service", "mageai", "status").apply(status => status.loadBalancer.ingress[0].hostname);

```

This program will do the following:
1. Create an AWS EKS cluster named "my-eks-cluster" with a specified minimum, maximum, and desired number of nodes.
2. Deploy the `mageai` Helm chart from the specified repository to the EKS cluster.
3. Provide you with the `kubeconfig` output necessary to manage the Kubernetes cluster with kubectl or other Kubernetes tools.
4. Export the `mageaiServiceUrl`, which will be the URL you can use to access the `mageai` deployment's services.

Keep in mind that the actual `values` passed to the Helm chart will need to be tailored to the specific requirements of the `mageai` Helm chart and your use case. Ensure you have the correct Helm chart name and repository URL. After you run this program with `pulumi up`, Pulumi will provision the EKS cluster and deploy the Helm chart, and you can then interact with your `mageai` instance through the exported service URL.