1. Deploy the kyuubi helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    To deploy the Kyuubi Helm chart on Azure Kubernetes Service (AKS), you'll start by creating an AKS cluster using Pulumi. Once the cluster is running, you can deploy the Kyuubi Helm chart into it.

    Below is a breakdown of the steps we're going to follow in the Pulumi TypeScript program:

    1. Set up an Azure Kubernetes Service cluster.
    2. Define the Helm chart for Kyuubi and deploy it to the AKS cluster.

    Here's a Pulumi program written in TypeScript that accomplishes this task:

    import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create an Azure Resource Group const resourceGroup = new azure_native.resources.ResourceGroup("resourceGroup", { resourceGroupName: "my-aks-resource-group", }); // Create the AKS cluster const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, kubernetesVersion: "1.19.11", agentPoolProfiles: [{ count: 2, maxPods: 110, mode: "System", name: "agentpool", osDiskSizeGB: 30, osType: "Linux", vmSize: "Standard_DS2_v2", }], dnsPrefix: "myakscluster", enableRBAC: true, }); // Export the KubeConfig of the AKS cluster const creds = pulumi.all([resourceGroup.name, aksCluster.name]).apply(([rgName, clusterName]) => azure_native.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }) ); const kubeconfig = creds.kubeconfigs[0].value.apply(v => Buffer.from(v, 'base64').toString()); // Output the kubeconfig to a file const file = new pulumi.asset.FileAsset(`kubeconfig-${aksCluster.name}.yaml`); const kubeConfigFile = new pulumi.asset.AssetArchive({ "kubeconfig.yaml": file, }); // Helm Chart deployment const kyuubiHelmChart = new k8s.helm.v3.Chart("kyuubiHelmChart", { repo: "bitnami", // Assuming 'bitnami' is the Helm repo where the Kyuubi chart is hosted chart: "kyuubi", version: "1.0.0", // Use the correct chart version namespace: "default", // Define any specific values for the helm chart values: { // ... define your helm chart values here }, }, { provider: new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }), }); // Export the kubeconfig file path export const kubeconfigFilePath = `kubeconfig-${aksCluster.name}.yaml`;

    Explanation

    • We start by defining a resource group using azure_native.resources.ResourceGroup to organize all our Azure resources.
    • The AKS cluster is set up using azure_native.containerservice.ManagedCluster, where we specify the version, size, and characteristics of the Kubernetes agents.
    • We retrieve the kubeconfig of the AKS cluster using azure_native.containerservice.listManagedClusterUserCredentials which will be used to communicate with the AKS cluster.
    • We output kubeconfig to a file, which helps us to use it with kubectl or any other Kubernetes management tool outside of Pulumi.
    • Then we use the k8s.helm.v3.Chart resource to define and deploy the Helm chart for Kyuubi. You would need to replace "bitnami" and chart: "kyuubi" with the correct repository and chart names if Kyuubi is hosted somewhere else.
    • We specify the version you want to deploy and it's set to 1.0.0 as an example.
    • In the values section, you can customize the installation according to your configuration requirements. These values will be specific to the Kyuubi Helm chart that you want to deploy.

    We use a Helm chart as it's a common way to package Kubernetes applications, and Pulumi can deploy Helm charts natively into a Kubernetes cluster.

    Remember that you might need to replace the chart name and version with the actual Helm chart details for Kyuubi.

    After the code is executed, the kubeconfigFilePath will be printed to the console. You can then use this kubeconfig to interact with your AKS cluster via kubectl.

    Before running this Pulumi program, ensure that you have:

    • Pulumi CLI installed and configured with Azure credentials.
    • Node.js and npm installed to run TypeScript applications.
    • The @pulumi/azure-native and @pulumi/kubernetes packages installed in your project.