1. Deploy the apache-shardingsphere-proxy-charts helm chart on Azure Managed Openshift Service


    To deploy the Apache ShardingSphere Proxy Helm chart onto an Azure Managed OpenShift Service, we need to perform a set of tasks, which include creating an Azure Managed OpenShift cluster and deploying the Helm chart to it.

    Here are the steps we will take to achieve your goal:

    1. Create an Azure Managed OpenShift Cluster: We'll create an OpenShift cluster using the azure-native.containerservice.OpenShiftManagedCluster resource. This will set up the infrastructure on which we will deploy our Helm chart.

    2. Deploy the Helm Chart using Pulumi's Kubernetes Provider: Once we have our OpenShift cluster, we will configure the kubernetes provider to connect to this cluster. Then we'll deploy our Helm chart using the kubernetes.helm.v3.Chart resource.

    Let's go ahead with the actual Pulumi TypeScript program to perform these tasks:

    Azure Managed OpenShift Cluster

    First, you need to create an OpenShift cluster. Ensure that you have the necessary service principal credentials and other prerequisites as detailed in the Azure documentation for OpenShift.

    Deploying the Helm Chart

    To deploy the Helm chart, you will need the Helm chart details, such as its name, version, and optional values to customize the deployment. If the Helm chart is available on a public Helm repository, you should include the repository URL; otherwise, you can specify the path to your local Helm chart.

    Pulumi Program

    Below is a Pulumi TypeScript program that demonstrates how to accomplish these tasks:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an Azure Managed OpenShift Cluster const openshiftManagedCluster = new azure_native.containerservice.OpenShiftManagedCluster("myOpenShiftCluster", { // Replace these with appropriate values resourceGroupName: "myResourceGroup", resourceName: "myOpenShiftCluster", location: "East US", // Specify the Azure region openShiftVersion: "4.3", // Specify the OpenShift version // ... other required configurations like network profiles, agent pool profiles etc. }); // Output the kubeconfig from the OpenShift cluster export const kubeconfig = openshiftManagedCluster.kubeconfig; // Step 2: Deploy the Helm chart // This code assumes that the Helm chart is in a public repository. // If the Helm chart is not hosted in a public repository or requires authentication, you'll need to add those details here. const shardingSphereProxyChart = new k8s.helm.v3.Chart("shardingsphere-proxy", { chart: "apache-shardingsphere-proxy-charts", fetchOpts: { repo: "http://helmrepo.example.com/", // Replace with the actual Helm repo URL where the chart is hosted }, values: { // Custom values for the Helm chart can be specified here. // For example: // replicaCount: 2, }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig.apply(JSON.stringify), }), }); // Export the public IP or the endpoint to access the deployed service export const endpoint = shardingSphereProxyChart.getResourceProperty("v1/Service", "shardingsphere-proxy-service", "status").apply(status => status.loadBalancer.ingress[0].ip);


    1. Resource Creation: The azure_native.containerservice.OpenShiftManagedCluster resource initializes the OpenShift cluster in Azure with the specified configuration parameters.

    2. Kubeconfig: We are exporting the kubeconfig information from the OpenShift Managed Cluster resource, which is needed to interact with the cluster using the Kubernetes API.

    3. Helm Chart Deployment: Using the k8s.helm.v3.Chart resource, Pulumi deploys the specified apache-shardingsphere-proxy-charts Helm chart into the OpenShift cluster. The resource accepts the values option for customizing the Helm chart parameters.

    4. Kubernetes Provider Configuration: We specified a custom k8s.Provider that uses the kubeconfig of the newly created OpenShift cluster. This way, the Helm chart is deployed to the correct cluster.

    5. Endpoint Export: Lastly, after deploying the Helm chart, we export the endpoint that can be used to access the ShardingSphere Proxy service. Assuming the service is of type LoadBalancer, the external IP is retrieved from the service's status and exported.

    Remember to replace placeholder values such as resource group name, the OpenShift cluster name, and the repository URL with actual values specific to your setup. The values object is where you can customize the Helm chart deployment parameters.

    To apply this Pulumi program, follow these steps:

    • Install the Pulumi CLI and set up the Azure CLI with credentials configured.
    • Create a new directory for your Pulumi project and initialize it using pulumi new.
    • Write this program in the index.ts file in your Pulumi project.
    • Run pulumi up to preview and deploy the resources.
    • Review the output, and if everything is in order, confirm the deployment.