1. Deploy the spot-termination-exporter helm chart on AWS EKS


    To deploy the spot-termination-exporter Helm chart on AWS EKS (Elastic Kubernetes Service), we'll take the following steps using Pulumi and TypeScript:

    1. Set up the EKS cluster: We'll start by creating an EKS cluster using the @pulumi/eks package, which simplifies the cluster creation process in AWS.

    2. Install the Helm chart: Once we have the cluster in place, we'll use the @pulumi/kubernetes package to deploy the spot-termination-exporter Helm chart to the EKS cluster.

    Here is how you would go about implementing this using Pulumi and TypeScript:

    Detailed Explanation:

    • EKS Cluster Creation: The eks.Cluster resource is a Pulumi component that encapsulates all resources needed to create an EKS cluster in AWS. We'll specify the necessary settings for an EKS cluster, such as the number of nodes, node type, and the Kubernetes version.

    • Helm Chart Deployment: The kubernetes.helm.v3.Chart resource represents a Helm chart in Pulumi's Kubernetes provider. We'll use this to deploy the spot-termination-exporter chart. You'd typically specify which repository the chart is located in and any values to override.

    Let's see this in action with the code below:

    import * as eks from '@pulumi/eks'; import * as k8s from '@pulumi/kubernetes'; // Create an EKS cluster with the default configuration. const cluster = new eks.Cluster('my-cluster', { instanceType: 't2.medium', // Choose an appropriate instance type desiredCapacity: 2, // Set the desired number of worker nodes minSize: 1, // Set the minimum number of worker nodes maxSize: 3, // Set the maximum number of worker nodes }); // Export the cluster's kubeconfig. export const kubeconfig = cluster.kubeconfig; // Deploy the spot-termination-exporter Helm chart to the EKS cluster. const chart = new k8s.helm.v3.Chart('spot-termination-exporter', { chart: 'spot-termination-exporter', version: '1.0.0', // replace with the actual chart version // Add the repository where the chart is located, if not in the stable repository fetchOpts: { repo: 'https://your-helm-chart-repository.com/', }, // The namespace where the Helm chart will be installed namespace: 'kube-system', }, { provider: cluster.provider }); // You can export any other outputs you need from the chart. // For example, if the chart creates a LoadBalancer service, you may want to export the endpoint: // export const spotTerminationExporterEndpoint = chart.getResourceProperty('v1/Service', 'my-spot-termination-exporter-service', 'status.loadBalancer.ingress[0].hostname');

    This code defines our EKS cluster and tells Pulumi to deploy the spot-termination-exporter Helm chart onto it. The desiredCapacity, minSize, and maxSize parameters specify the scaling properties of your EKS cluster, controlling how many worker instances are maintained.

    Note that if the spot-termination-exporter Helm chart requires specific values to be overridden for your environment, you can include a values field within the Chart resource to specify those. Additionally, if the Helm chart is not located within the default Helm repository, the fetchOpts property allows you to provide a custom repository URL.

    After running this code through Pulumi CLI using pulumi up, Pulumi will create the cluster and deploy the Helm chart to it. The exported kubeconfig allows you to interact with the cluster using tools like kubectl.

    Ensure that your AWS and Pulumi CLI tools are properly configured with the necessary credentials before running this code. Also, confirm that you have Helm set up in your environment to fetch and deploy charts.