1. Deploy the ibm-datapower-operator helm chart on AWS EKS

    TypeScript

    To deploy the ibm-datapower-operator Helm chart on AWS EKS using Pulumi, you'll need to do the following steps:

    1. Create an Amazon EKS cluster that the IBM DataPower Operator requires.
    2. Deploy the Helm chart onto the EKS cluster.

    Here is a Pulumi TypeScript program that demonstrates how to do both of these things. This program will import the required Pulumi packages, set up an EKS cluster, and then deploy the ibm-datapower-operator Helm chart to it.

    Make sure you have the Pulumi CLI installed and configured with AWS credentials. Additionally, ensure you have kubectl and Helm installed if you need to interact with the Kubernetes cluster manually.

    import * as eks from "@pulumi/eks"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Create an EKS cluster const cluster = new eks.Cluster("my-cluster", { instanceType: "t2.medium", // Choose an appropriate instance type for your workload desiredCapacity: 2, // Set desired capacity as per your requirements minSize: 1, // Minimum number of instances (for scaling) maxSize: 3, // Maximum number of instances (for scaling) storageClasses: "gp2", // Default storage class for EBS volumes version: "1.21", // Specify the EKS Kubernetes version }); // Export the cluster's kubeconfig export const kubeconfig = cluster.kubeconfig.apply(JSON.stringify); // Deploy the ibm-datapower-operator Helm chart const ibmDataPowerOperatorChart = new k8s.helm.v3.Chart("ibm-datapower-operator", { chart: "ibm-datapower-operator", // Make sure to replace <REPO-URL> with the actual URL of the Helm repository that hosts the ibm-datapower-operator chart fetchOpts: { repo: "<REPO-URL>", }, version: "1.0.0", // Specify the version of the Helm chart you want to deploy namespace: "datapower", // Specify the namespace where the operator should be deployed }, { provider: cluster.provider }); // You may need to wait for the Helm chart deployment to complete. // An example way of ensuring it's running could be to query the deployment status via k8s API. // Export the Helm chart deployment name export const ibmDataPowerOperatorDeploymentName = ibmDataPowerOperatorChart.getResourceName("v1/Deployment", "ibm-datapower-operator");

    Before running this Pulumi program:

    • Replace <REPO-URL> with the actual Helm repository URL for the ibm-datapower-operator chart.
    • Review and adjust the instanceType, desiredCapacity, minSize, maxSize, and version parameters for the EKS cluster based on your requirements.

    The program sets up an Amazon EKS cluster using the @pulumi/eks package. It configures the minimum, maximum, and desired capacity for the cluster's node group, so it's ready to run container workloads. After defining the cluster, it provides a kubeconfig as an output, which can be used to interact with the Kubernetes cluster using kubectl.

    After setting up the cluster, it uses the @pulumi/kubernetes package to deploy the ibm-datapower-operator Helm chart to the datapower namespace. Make sure that you have a Docker image for the IBM DataPower Operator accessible if the Helm chart expects to use a custom image. The version, chart name, and other details about the Helm chart can be changed as per your specific use case.

    Upon deploying this Pulumi program, it will print out the EKS kubeconfig to access your cluster and the deployment name for the IBM DataPower Operator, which you can use to check on the status of the deployment with kubectl.

    To execute this Pulumi program, run the following commands in your terminal:

    pulumi up

    Inspect the preview and, if everything looks good, confirm the deployment to provision the resources on AWS EKS. After the deployment has been successfully applied, you will see the outputs as specified in the program.


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