1. Deploy the geoip-api helm chart on AWS EKS

    TypeScript

    To deploy the geoip-api Helm chart on AWS EKS using Pulumi, you’ll need to create an EKS cluster and then deploy the Helm chart onto the cluster. We will use Pulumi's EKS package to create the cluster and the Kubernetes package to manage Helm chart deployments.

    Below are the steps you will take to accomplish this:

    1. Set up your Pulumi project and install the necessary dependencies.
    2. Declare an EKS cluster resource.
    3. Deploy the geoip-api Helm chart to the EKS cluster.

    Please ensure you have the following prerequisites before you proceed:

    • Pulumi CLI installed.
    • AWS CLI installed and configured with the necessary access rights.
    • Helm CLI installed if you want to configure Helm charts locally.
    • kubectl installed for interacting with the cluster.

    Here’s a detailed Pulumi program written in TypeScript that sets up an AWS EKS cluster and deploys the geoip-api Helm chart:

    import * as eks from "@pulumi/eks"; import * as k8s from "@pulumi/kubernetes"; // Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { desiredCapacity: 2, minSize: 1, maxSize: 3, // You can specify other cluster options here, like the version, VPC config, etc. }); // Once the EKS cluster is set up, you can use the kubeconfig provided by the cluster // output to interact with your Kubernetes cluster using Pulumi's Kubernetes provider. const provider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeconfig.apply(JSON.stringify), }); // Now, deploy the geoip-api helm chart to your EKS cluster. const geoipApiChart = new k8s.helm.v3.Chart("geoip-api", { chart: "geoip-api", version: "1.2.3", // replace with the actual chart version namespace: "default", // specify the namespace if different from "default" // Set the values for the Helm chart, as needed. values: { service: { type: "LoadBalancer", }, }, }, { provider }); // Export the cluster's kubeconfig and the service endpoint of the Helm chart if available. export const kubeconfig = cluster.kubeconfig; export const geoipApiEndpoint = geoipApiChart.getResourceProperty("v1/Service", "geoip-api", "status").apply(status => status.loadBalancer?.ingress[0]?.hostname || status.loadBalancer?.ingress[0]?.ip);

    Explanation:

    • We start by importing the necessary Pulumi packages for EKS and Kubernetes.
    • We declare an EKS cluster with the eks.Cluster class, specifying desired, minimum, and maximum number of instances. You can also specify other parameters like the Kubernetes version or VPC configuration depending on your needs.
    • We set up the k8s.Provider that points to the newly created EKS cluster. This provider is used to interact with the Kubernetes API and manage Kubernetes resources, including Helm charts.
    • Then we declare a Helm chart resource with k8s.helm.v3.Chart. It references the Helm chart you want to install (the geoip-api chart in this case), and you can specify the chart's version and any configuration values that the chart accepts.
    • Finally, we export the kubeconfig to allow interacting with the Kubernetes cluster using external tools like kubectl, and the endpoint of the geoip-api service, assuming it exposes one via a LoadBalancer.

    This program will create the necessary infrastructure on AWS, configure it to run an EKS cluster, and then deploy the geoip-api as per the Helm chart specifications. You can run this Pulumi program by saving it in a file named index.ts, and executing pulumi up in the same directory. Ensure you have the required AWS and Pulumi access configured before running the command.


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