1. Deploy the longhorn-monitoring helm chart on AWS EKS


    To deploy the longhorn-monitoring Helm chart on AWS Elastic Kubernetes Service (EKS), we'll walk through the necessary steps to set up the infrastructure with Pulumi.

    First, we will create an AWS EKS cluster. AWS EKS is a managed Kubernetes service that makes it easier to run Kubernetes workloads without needing to install and operate your own Kubernetes control plane. EKS manages the Kubernetes master nodes for you, so you just have to worry about the worker nodes.

    Next, we'll need to configure the Kubernetes provider to interact with our EKS cluster. Once that's set up, we can use the Helm Release resource to deploy the longhorn-monitoring Helm chart to monitor the persistent storage for Kubernetes provided by Longhorn.

    Here's how to do this in TypeScript using Pulumi:

    import * as pulumi from "@pulumi/pulumi"; import * as aws from "@pulumi/aws"; import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { // Specify additional options here }); // Export the clusters' kubeconfig. export const kubeconfig = cluster.kubeconfig; // Set up the Kubernetes provider to use the generated kubeconfig from the EKS cluster const provider = new k8s.Provider("provider", { kubeconfig: cluster.kubeconfig, }); // Deploy the longhorn-monitoring helm chart to the EKS cluster const longhornMonitoringChart = new k8s.helm.v3.Release("longhorn-monitoring", { chart: "longhorn-monitoring", // Specify chart repository or version if necessary // You can specify the chart version to use, values for the chart, and other configurations here }, { provider }); // Ensure we use the k8s provider with EKS cluster's kubeconfig // Export the chart name export const longhornMonitoringChartName = longhornMonitoringChart.name;

    Let's go over crucial parts of this program:

    1. We first import the required Pulumi packages for AWS, EKS, and Kubernetes operations.
    2. We create an AWS EKS cluster using eks.Cluster. This encapsulates the resources needed to manage EKS and we can customize it further as needed.
    3. After creating the cluster, we export the kubeconfig which will be needed to interact with the Kubernetes cluster.
    4. We set up the Kubernetes provider with this kubeconfig, which lets Pulumi know how to communicate with our EKS cluster for subsequent resources.
    5. Finally, we deploy the longhorn-monitoring Helm chart using k8s.helm.v3.Release. Here you might need to specify additional options such as version, values, and repository based on the Helm chart requirements and your preferences.

    This program sets up an EKS cluster and deploys the longhorn-monitoring helm chart. You should ensure that your Pulumi CLI is configured with AWS credentials. Also, make sure to have the right access rights to create and manage EKS clusters and helm charts on your AWS account.

    To run this code, save it into a file, for example, index.ts, then run pulumi up from your terminal in the same directory. Pulumi's CLI will execute the deployment.