1. Deploy the prometheus-jsonpath-exporter helm chart on AWS EKS


    To deploy the prometheus-jsonpath-exporter helm chart on AWS EKS, you'll need to follow these steps:

    1. Create an EKS Cluster: Set up an Amazon EKS cluster which will run your Kubernetes workloads.
    2. Install the Helm Chart: Use Pulumi's Kubernetes provider to deploy the prometheus-jsonpath-exporter Helm chart onto your EKS cluster.

    Below is a Pulumi program in TypeScript that demonstrates how to accomplish these tasks. I will explain each part of the program as we go through it.

    First, we import the necessary Pulumi and AWS packages. We approximate that you're looking for an EKS cluster to which you'll deploy a Helm Chart, so we will illustrate that process.

    import * as eks from "@pulumi/eks"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; import * as aws from "@pulumi/aws"; // Create an EKS Cluster const cluster = new eks.Cluster("my-cluster", { instanceType: "t2.medium", // instance type for the EKS cluster nodes desiredCapacity: 2, // number of EC2 instances to launch in the EKS cluster minSize: 1, // minimum number of EC2 instances in the EKS cluster maxSize: 3, // maximum number of EC2 instances in the EKS cluster storageClasses: "gp2", // the default storage class will use the GP2 volume type deployDashboard: false, // indicate if the Kubernetes dashboard should be deployed }); // Export the cluster's kubeconfig export const kubeconfig = cluster.kubeconfig; // Deploy the Prometheus Jsonpath Exporter Helm chart const prometheusJsonpathExporterChart = new k8s.helm.v3.Chart("prometheus-jsonpath-exporter", { chart: "prometheus-jsonpath-exporter", version: "1.0.0", // replace with the desired chart version fetchOpts: { repo: "http://your-helm-chart-repo/", // replace with the Helm chart repository URL }, // Values from the Helm chart's `values.yaml` can be provided here. values: { // Your custom values go here. }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeconfig }) }); // Export the status of the deployed Helm chart export const helmChartStatus = prometheusJsonpathExporterChart.status;


    1. Importing Packages: We first import necessary Pulumi packages, including eks for managing EKS clusters, k8s for interacting with Kubernetes, and aws for AWS resources.

    2. Creating an EKS Cluster: The eks.Cluster resource creates an EKS cluster. You can customize properties such as instanceType, desiredCapacity, minSize, maxSize, and deployDashboard as needed.

    3. Exporting kubeconfig: We export the kubeconfig of the cluster, which allows us to interact with the cluster using kubectl and other Kubernetes tools. This is a representation of credentials and endpoint information needed to connect to the Kubernetes cluster that was just created.

    4. Deploying the Helm Chart: The k8s.helm.v3.Chart resource is where the prometheus-jsonpath-exporter helm chart is deployed to your EKS cluster. The chart property specifies the name of the chart, and the version property specifies the chart version. The fetchOpts.repo holds the URL to your Helm chart repository. Under values, you can specify the configuration for your deployment which corresponds to settings found in the Helm chart's values.yaml file. It's using the kubeconfig from the EKS cluster to authenticate to Kubernetes.

    5. Exporting Helm Chart Status: Finally, we export the helmChartStatus which gives us information about the deployed Helm chart. This can help you understand the state of your deployment.

    Deploy this Pulumi program using these simple steps:

    1. Set up AWS credentials and configure Pulumi CLI.
    2. Save the above code in a file named index.ts.
    3. Run pulumi up from the command line in the same directory where your index.ts file is located.
    4. Confirm the deployment when prompted by Pulumi.

    After deployment, you'll be able to access the services provided by the prometheus-jsonpath-exporter in your Kubernetes cluster on AWS EKS.