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


    To deploy the sparkoperator Helm chart on Azure Kubernetes Service (AKS), you'll need to execute a series of tasks:

    1. Create an AKS cluster on Azure.
    2. Install the Helm chart into your AKS cluster.

    Pulumi allows us to manage the entire lifecycle of cloud resources using real programming languages as opposed to YAML. We are going to use TypeScript in this case. The plan here is to first set up a new AKS cluster using Pulumi and then deploy the sparkoperator Helm chart on that cluster.

    To follow this plan, you need to have Pulumi installed and configured for use with Azure. You also need to have Node.js installed to run the TypeScript program.

    Here's a step-by-step guide on how to accomplish this task using Pulumi:

    Set Up AKS Cluster

    The first part of our program will use the azure-native package to create an AKS cluster. You will need to import the necessary resources from Pulumi's Azure Native package. For this, you need a resource group and an AKS cluster at a minimum.

    Deploy SparkOperator Helm Chart

    Once the cluster is available, we can deploy the sparkoperator Helm chart onto it. To do this, we will use the kubernetes package which allows us to manage Kubernetes resources, including deploying Helm charts. We need to setup the configuration for the Kubernetes provider first, which involves getting credentials from the created AKS cluster.

    Pulumi TypeScript Program

    The following example demonstrates how to achieve this. Make sure to replace placeholders like <RESOURCE_GROUP_NAME>, <AKS_CLUSTER_NAME>, and others with appropriate values.

    import * as azure from "@pulumi/azure"; import * as azuread from "@pulumi/azuread"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Create an Azure Resource Group const resourceGroup = new azure.core.ResourceGroup("myResourceGroup", { location: "East US", }); // Create an AKS Cluster const managedCluster = new azure.containerservice.KubernetesCluster("myAKSCluster", { location: resourceGroup.location, resourceGroupName: resourceGroup.name, defaultNodePool: { name: "aksagentpool", nodeCount: 2, vmSize: "Standard_DS2_v2", }, dnsPrefix: pulumi.interpolate`${pulumi.getStack()}-kube`, }); // Export the kubeconfig export const kubeconfig = pulumi.all([managedCluster.name, resourceGroup.name]).apply(([clusterName, rgName]) => { return azure.containerservice.getKubeConfig({ name: clusterName, resourceGroupName: rgName, }).then(kubeConfig => kubeConfig.rawConfig); }); // Create a Kubernetes provider instance that uses our kubeconfig const provider = new k8s.Provider("aksProvider", { kubeconfig: kubeconfig, }); // Deploy the sparkoperator Helm chart using the new instance of the Kubernetes provider const sparkOperatorChart = new k8s.helm.v3.Chart("sparkoperator", { chart: "spark-operator", fetchOpts: { repo: "https://googlecloudplatform.github.io/spark-on-k8s-operator", }, version: "1.1.6", namespace: "default", }, { providers: { kubernetes: provider } });


    • The azure.core.ResourceGroup resource is used to create a new resource group on Azure.
    • The azure.containerservice.KubernetesCluster resource is used to define and create an AKS cluster.
    • The kubeconfig is a stack export that retrieves the kubeconfig file from Azure which is needed to interact with your AKS cluster.
    • The k8s.Provider class creates a Pulumi Kubernetes provider that points to the AKS cluster, using the kubeconfig obtained from the previous step.
    • The k8s.helm.v3.Chart resource is used to deploy the Helm chart named spark-operator which will create the SparkOperator in the AKS cluster.

    Make sure you replace the version value with the desired version of the SparkOperator Helm chart.

    After this script is executed with Pulumi, the AKS cluster will be created, and then the sparkoperator Helm chart will be deployed on it. You can manage and interact with your Kubernetes resources using kubectl and Pulumi.