1. Deploy the prom2teams helm chart on AWS EKS


    To deploy the prom2teams Helm chart on an AWS EKS (Elastic Kubernetes Service) cluster using Pulumi, we need to set up the following components:

    1. EKS Cluster: This is where our Kubernetes pods will be scheduled and run. We will use the aws.eks.Cluster resource for this.

    2. Helm Chart: The prom2teams chart will be deployed into our EKS cluster. We utilize the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes provider to manage Helm chart deployments.

    Here's how you can set this up using Pulumi with TypeScript:

    Detailed Explanation

    Firstly, we will create an EKS cluster using the aws.eks.Cluster resource. It will create an EKS cluster with the specified version, and VPC configuration. Please replace the placeholder values with the actual VPC ID and subnet IDs that you want to use for your EKS cluster.

    Secondly, we would set up a new Helm chart deployment using the kubernetes.helm.v3.Chart resource. We need to specify the chart name prom2teams, which Pulumi will look for in the default Helm repositories, or you can specify your own repository via the repo property if prom2teams is hosted elsewhere.

    Thirdly, make sure to configure your Pulumi program to use your AWS credentials and the correct region where you want to deploy your EKS cluster.

    Lastly, we'll export some of the outputs of our program, such as the EKS cluster's endpoint and the name of our prom2teams Helm release.

    Here's a Pulumi TypeScript program that illustrates this process:

    import * as eks from "@pulumi/eks"; import * as aws from "@pulumi/aws"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an EKS cluster const cluster = new eks.Cluster("myEksCluster", { // Specify the desired Kubernetes version for your cluster. version: "1.21", // Define the VPC configuration, including the VPC ID and subnet IDs. vpcConfig: { vpcId: "vpc-12345", // Replace with your VPC ID subnetIds: ["subnet-67890abc"] // Replace with your Subnet IDs } }); // Step 2: Deploy the 'prom2teams' Helm chart into the EKS cluster // We instruct Pulumi to use the cluster's Kubeconfig to interact with the cluster. const prom2teamsChart = new k8s.helm.v3.Chart("prom2teams", { chart: "prom2teams", // Omit `repo` if `prom2teams` is hosted on the default Helm chart repository // If not, specify the custom repository URL here // repo: "https://YOUR_CUSTOM_HELM_REPO/" // You can specify custom values for the Helm chart by providing them here // For example: // values: { // "replicaCount": 2 // } }, { provider: cluster.provider }); // Step 3: Export the cluster's kubeconfig and Helm release name export const kubeconfig = cluster.kubeconfig; export const chartName = prom2teamsChart.metadata.name;

    Explanation of Code Comments

    • new eks.Cluster("myEksCluster", {...}); creates a new EKS cluster with the specified name and configuration. The version parameter states the Kubernetes version desired for the cluster, and the vpcConfig parameter includes networking settings such as the VPC ID and subnet IDs.

    • new k8s.helm.v3.Chart("prom2teams", {...}); creates a new Helm release within the aforementioned EKS cluster. You can also customize the chart by providing configuration options in the values object if necessary.

    • export const kubeconfig = cluster.kubeconfig; exports the generated kubeconfig which you will use to interact with your cluster through kubectl or other Kubernetes tools.

    • export const chartName = prom2teamsChart.metadata.name; exports the name of the Helm release, which can be useful for tracking or scripting purposes.

    After deploying this Pulumi program, the prom2teams application will run in your AWS EKS cluster. Make sure to use the exported kubeconfig to check the status of the deployment using kubectl commands.


    • Pulumi CLI installed and AWS configured.
    • AWS CLI configured with credentials that have permissions to create EKS clusters.
    • Kubernetes CLI (kubectl) installed to interact with the cluster.
    • Helm CLI (optional) if you need to customize the Helm chart further.

    To apply this Pulumi code, you would navigate to your Pulumi project directory in the terminal, then run pulumi up, which will preview and deploy the resources defined in the program. Make sure the Pulumi CLI is configured with the appropriate AWS credentials and default region.