1. Deploy the flink-kubernetes-operator-crds helm chart on Azure Kubernetes Service (AKS)


    To deploy the flink-kubernetes-operator-crds Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, we will follow these steps:

    1. Create an AKS Cluster: We will define an AKS cluster using the azure-native provider, which allows us to interact with Azure resources natively. This will include the cluster configuration for nodes, network, and other essential settings.

    2. Install the Helm Chart: Once we have the AKS cluster running, we will deploy the Helm chart for the Flink Kubernetes operator. This is done using the kubernetes.helm.v3.Chart resource which Pulumi provides for helm chart deployments in Kubernetes.

    3. Helm Chart Configuration: We will set the chart name to flink-kubernetes-operator-crds, which is expected to be available in a public or private Helm repository. You would need to provide the repository URL if it's a private or specific public one.

    Before we start writing our program, make sure you have the following prerequisites in place:

    • Pulumi: An installation of Pulumi CLI and setup for Azure. Make sure you’ve also logged in to both Pulumi and Azure CLI (az login).
    • Node.js: Install Node.js if you plan to use TypeScript for writing Pulumi programs.
    • Helm CLI: Optionally, you can have Helm installed to inspect charts and for testing in local Kubernetes clusters.

    Below is how you would implement this using Pulumi with TypeScript:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an AKS Cluster const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup", { location: "East US", // Set the location appropriately }); const aksCluster = new azure.containerservice.ManagedCluster("myAKSCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define AKS Cluster properties like node size, count, etc agentPoolProfiles: [{ count: 1, maxPods: 110, mode: "System", name: "agentpool", osType: "Linux", vmSize: "Standard_DS2_v2", // Choose the appropriate VM size }], dnsPrefix: pulumi.interpolate`${resourceGroup.name}-kube`, // Enable RBAC for the cluster enableRBAC: true, }); // Export the AKS cluster kubeconfig export const kubeConfig = aksCluster.kubeConfigRaw; // Step 2: Install the Helm Chart const flinkOperatorChart = new k8s.helm.v3.Chart("flink-operator-crds", { chart: "flink-kubernetes-operator-crds", version: "0.1.0", // Specify the chart version you want to deploy // If the chart is from a custom repo, specify it as `repo: "http://your-repo-url"`. // Values can be specified if modifications to the default configuration are needed. // values: { // ... // }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeConfig }) }); // Export the Helm chart status export const flinkOperatorStatus = flinkOperatorChart.status;


    • We import the required Pulumi libraries for Kubernetes and Azure.
    • Create an Azure resource group to host our AKS cluster.
    • Define and create the AKS cluster using the ManagedCluster resource. You may adjust the node count, VM size, and other settings as per your requirements.
    • We export the generated kubeConfig to be used outside of Pulumi if needed.
    • The k8s.helm.v3.Chart resource is where we specify the details of the Helm chart we wish to install. We assign it the name 'flink-operator-crds' which Pulumi will use to create the resources.
    • Finally, we export the status of the Helm chart deployment using Pulumi's export feature. This allows us to check whether our deployment was successful.

    Make sure to replace version: "0.1.0" with the actual chart version you wish to deploy. If the chart is in a private repository, you need to pass the repo property with the URL of the Helm repository.

    With the above program, running pulumi up will provision the necessary resources on Azure, deploy the AKS cluster, and install the flink-kubernetes-operator-crds Helm chart.