1. Deploy the ibm-datapower-operator helm chart on Azure Kubernetes Service (AKS)


    To deploy the ibm-datapower-operator Helm chart on Azure Kubernetes Service (AKS), you'll need to follow several steps:

    1. Set up an AKS cluster.
    2. Install the Helm CLI on your local machine.
    3. Add the Helm repository that contains the ibm-datapower-operator chart.
    4. Deploy the chart to your AKS cluster using Helm.

    Below, you'll find a Pulumi TypeScript program that accomplishes the first step of setting up the AKS cluster. Once the cluster is ready, you can then proceed with the Helm-specific steps using the Helm CLI.

    In this program, we use the azure-native Pulumi provider, which allows us to work with Azure resources directly through the Azure Resource Manager (ARM) API. We will provision an AKS cluster, which involves creating a resource group and then the AKS cluster itself within that resource group.

    The kubernetes.helm.v3.Chart resource from the Pulumi Kubernetes provider is then utilized to deploy the ibm-datapower-operator Helm chart onto the AKS cluster. Note that this program assumes the Helm chart is publicly available in a Helm repository.

    Here's a detailed Pulumi program for setting up the AKS cluster:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Create an Azure Resource Group const resourceGroup = new azure_native.resources.ResourceGroup("myResourceGroup"); // Create an Azure Kubernetes Service (AKS) cluster const cluster = new azure_native.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroup.name, // Define properties for the AKS cluster agentPoolProfiles: [{ count: 2, // Number of nodes in the Node Pool maxPods: 110, // Maximum pods that can be run on a single node mode: "System", // Mode in which to run the nodes osDiskSizeGB: 30, // Size of the OS Disk in GB osType: "Linux", // Operating System type vmSize: "Standard_DS2_v2", // Virtual Machine size for the nodes }], dnsPrefix: `${pulumi.getStack()}-kube`, enableRBAC: true, // Enable RBAC kubernetesVersion: "1.20.9", // Specify the version of Kubernetes }); // Export the kubeconfig export const kubeconfig = cluster.kubeConfigRaw; // Create a Kubernetes provider that uses the above-created AKS cluster kubeconfig const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: cluster.kubeConfigRaw, }); // Add a Helm repository containing the ibm-datapower-operator chart const chartRepo = new k8s.helm.v3.Repository("datapowerRepo", { name: "datapower", // URL of the Helm repository that hosts ibm-datapower-operator url: "https://ibm.github.io/datapower-operator/", }, { provider: k8sProvider }); // Deploy the ibm-datapower-operator Helm chart in the AKS cluster const datapowerChart = new k8s.helm.v3.Chart("datapowerOperatorChart", { chart: "ibm-datapower-operator", // Name of the chart in the repository version: "1.0.0", // Specify the version of the chart namespace: "default", // Namespace where the chart will be installed fetchOpts: { repo: "https://ibm.github.io/datapower-operator/", // Helm repository URL }, }, { provider: k8sProvider }); // Export the public endpoint of the IBM DataPower Operator export const datapowerOperatorEndpoint = pulumi.interpolate`http://${cluster.name}.${resourceGroup.name}.cloudapp.azure.com`;

    Here's what the program is doing:

    • It starts by importing the required Pulumi libraries for working with Azure native resources and Kubernetes.
    • It then creates a new Azure resource group named myResourceGroup to hold the AKS cluster.
    • Next, it creates an AKS cluster named myAksCluster with a specific version, node size, disk size, and an RBAC-enabled configuration.
    • The kubeconfig is exported, allowing you to connect to the cluster with kubectl or other Kubernetes management tools.
    • A Kubernetes provider is instantiated with the kubeconfig of the newly created AKS cluster, which allows Pulumi to deploy resources to that cluster.
    • Afterward, a Helm repository containing the ibm-datapower-operator chart is added.
    • Finally, the ibm-datapower-operator Helm chart is deployed to the AKS cluster using the k8s.helm.v3.Chart resource, and the public endpoint for the IBM DataPower Operator is exported.

    After running this Pulumi program, you will have an AKS cluster ready and the DataPower operator deployed. You can then use the Helm CLI to manage and install further charts or configurations required for your applications.

    Please Note:

    • Make sure to replace the placeholder values for the Helm repository URL (https://ibm.github.io/datapower-operator/) and the chart version (1.0.0) with the correct ones that apply to your use case.
    • The AKS cluster is provisioned with system-assigned managed identity. Adjust the agentPoolProfiles according to your needs, like node count, VM size, etc.
    • This program sets the AKS cluster to use RBAC for access controls.

    To run this Pulumi program, you need to have the Pulumi CLI installed, be logged into your Pulumi account, and have the Azure CLI installed and logged into your Azure account. When these prerequisites are met, execute the program by running pulumi up in the directory containing the program files.