1. Deploy the flink-kubernetes-operator helm chart on Azure Managed Openshift Service

    TypeScript

    To deploy the Flink Kubernetes Operator Helm Chart on Azure Managed OpenShift Service using Pulumi, you will need to perform the following steps:

    1. Set up an Azure Managed OpenShift Cluster using azure-native.containerservice.OpenShiftManagedCluster.
    2. Deploy the Flink Kubernetes Operator Helm Chart using the kubernetes.helm.v3.Chart resource provided by Pulumi's Kubernetes provider.

    Below is a detailed Pulumi program written in TypeScript that accomplishes these tasks. The program assumes that you have already set up and logged into the Pulumi CLI and have the necessary Azure credentials configured.

    First, you need to install the necessary Pulumi packages. In your terminal, run:

    pulumi plugin install resource azure-native 2.11.0 pulumi plugin install resource kubernetes 4.4.0

    Then, run npm install for the packages:

    npm install @pulumi/azure-native @pulumi/kubernetes

    Here is the program that deploys the Azure Managed OpenShift Service and the Flink Kubernetes Operator:

    import * as pulumi from '@pulumi/pulumi'; import * as azure_native from '@pulumi/azure-native'; import * as k8s from '@pulumi/kubernetes'; // Declare configuration variables for the OpenShift cluster const resourceGroup = new azure_native.resources.ResourceGroup("resourceGroup", { resourceGroupName: "my-openshift-cluster", location: "eastus", // Change to the desired location }); // Create an Azure Managed OpenShift Cluster const openshiftCluster = new azure_native.containerservice.OpenShiftManagedCluster("openshiftCluster", { resourceName: "my-openshift-cluster", resourceGroupName: resourceGroup.name, location: resourceGroup.location, openShiftVersion: "latest", // Specify the version you wish to use networkProfile: { vnetCidr: "10.0.0.0/8", }, masterPoolProfile: { count: 3, vmSize: "Standard_D4s_v3", // Change to the desired VM size }, agentPoolProfiles: [{ name: "agentpool", count: 3, vmSize: "Standard_DS2_v2", // Change to the desired VM size role: "compute", }], }); // Set up Kubernetes provider to interact with the OpenShift cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: openshiftCluster.config.adminKubeconfig, }); // Define the Flink Kubernetes Operator Helm Chart const flinkOperatorChart = new k8s.helm.v3.Chart("flinkOperatorChart", { chart: "flink-kubernetes-operator", version: "1.0.0", // Specify the chart version you wish to deploy fetchOpts: { repo: "https://flink-operator-charts.example.com/", // Ensure you have the correct Helm repository }, }, { provider: k8sProvider }); // Export the kubeconfig to be able to interact with the cluster using kubectl export const kubeconfig = openshiftCluster.config.adminKubeconfig;

    Here is the explanation of what each part of the code does:

    • We import the required Pulumi packages for Azure and Kubernetes.
    • We start by creating a resource group to contain our Azure Managed OpenShift Service.
    • Next, we deploy the OpenShift cluster in Azure by providing all the necessary configuration details, including the location, version, network profile, master pool profile, and agent pool profile.
    • We then create a Kubernetes provider that uses the kubeconfig from the newly-created OpenShift cluster. This allows you to manage the Kubernetes resources in the OpenShift cluster.
    • The k8s.helm.v3.Chart resource is used to deploy the Flink Kubernetes Operator using its Helm chart. You need to specify the chart name, version, and repository URL.
    • Finally, we export the kubeconfig so that you can use kubectl to interact with your OpenShift cluster directly from your local machine.

    After this, you can run pulumi up to provision the resources defined in your Pulumi program. Once the OpenShift cluster is ready and running, the Flink Kubernetes Operator will be deployed via its Helm chart. You can then access the Kubernetes cluster using the exported kubeconfig file and manage your Flink Operator instances and applications as desired.