Deploy the rke2-calico helm chart on AWS EKS

Question

Pulumi · Accepted Answer

To deploy the rke2-calico Helm chart on an AWS EKS cluster using Pulumi, you can follow these steps. First, you will create an EKS cluster using the eks package which provides a high-level abstraction to set up an EKS cluster. Then, you will use the kubernetes package to deploy the rke2-calico Helm chart to that EKS cluster.

Below is a Pulumi TypeScript program that does this:

Creating an EKS cluster.
Deploying the rke2-calico Helm chart to the created EKS cluster.

Make sure you have Pulumi installed and configured with AWS credentials. You will also need to have kubectl set up to interact with your EKS cluster.

Now let's dive into the code:

import * as eks from "@pulumi/eks";
import * as pulumi from "@pulumi/pulumi";
import * as k8s from "@pulumi/kubernetes";

// Step 1: Create an EKS cluster.
const cluster = new eks.Cluster("my-cluster", {
    desiredCapacity: 2, // Specify the desired number of worker nodes
    minSize: 1,
    maxSize: 3,
    instanceType: "t2.medium" // Choose an appropriate instance type
    // Other configuration options can be set according to your requirements.
});

// Step 2: Deploy the rke2-calico Helm chart.
const rke2CalicoChart = new k8s.helm.v3.Chart("rke2-calico", {
    chart: "rke2-calico",
    version: "<appropriate chart version>", // Specify the version of the chart you want to deploy
    fetchOpts: {
        repo: "<helm chart repository URL>", // Provide the URL to the Helm repository that contains rke2-calico chart
    },
}, { provider: cluster.provider });

// Export the cluster's kubeconfig and endpoint.
export const kubeconfig = cluster.kubeconfig;
export const clusterEndpoint = cluster.endpoint;

In the above program, you begin by creating an instance of an EKS cluster with the eks.Cluster resource. This creates all the necessary AWS resources required for an EKS cluster, including the worker nodes. Adjust the desiredCapacity, minSize, maxSize, and instanceType based on your workload requirements.

Next, you deploy the rke2-calico Helm chart using the k8s.helm.v3.Chart resource. Replace "<appropriate chart version>" with the version of the rke2-calico chart that you wish to deploy and provide the repository URL where the chart is located at "<helm chart repository URL>".

By setting the provider option for the Helm chart, you tell Pulumi that this Helm chart needs to be deployed to the EKS cluster you have created earlier. This utilizes the kubeconfig generated by the EKS cluster to manage the Kubernetes resources.

The kubeconfig and clusterEndpoint are exported at the end of the program, which you can use to access your EKS cluster with kubectl or other Kubernetes tooling.

To run this program, you would save it to a file (e.g., index.ts), initialize a new Pulumi project with pulumi new, and then run pulumi up to deploy the resources. Remember to input the correct chart version and Helm chart repository URL based on where the rke2-calico chart is hosted.

Finally, be sure to review the Pulumi and AWS documentation for additional details on configurations and policies that may be appropriate for your deployment scenario.