1. Deploy the trino-loadbalancer helm chart on Azure Managed Openshift Service


    To deploy the trino-loadbalancer Helm chart on Azure Managed OpenShift Service using Pulumi, we'll be approaching this task in several steps:

    1. First, we will provision an Azure OpenShift Managed Cluster, which will be the Kubernetes environment where Trino will run. For this, we'll use the azure-native.containerservice.OpenShiftManagedCluster resource.

    2. Once the cluster is in place, we'll install the trino-loadbalancer Helm chart onto the cluster using the kubernetes.helm.sh/v3.Chart resource. This leverages the Helm package manager for Kubernetes, which simplifies deploying applications by using pre-configured Helm charts.

    Here's an outline of the program we are going to write in TypeScript:

    • Define and configure the Azure OpenShift Managed Cluster.
    • Configure the Kubernetes provider to interact with the newly created Openshift cluster.
    • Deploy the trino-loadbalancer Helm chart using the Pulumi Kubernetes Helm resource.

    Please note that before running this Pulumi program, you should have the following prerequisites in place:

    • Pulumi CLI installed and configured for TypeScript.
    • Azure CLI installed and logged in with an account that has sufficient permissions to create resources in an Azure subscription.
    • Access to an Azure subscription and the necessary permissions to create resources in it.
    • Basic familiarity with Pulumi, Azure, and Kubernetes concepts since detailed explanations of these topics are out of our scope here.

    Here's the Pulumi program that accomplishes this task:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as openshift from "@pulumi/azure-native/containerservice"; // Step 1: Create an Azure OpenShift Managed Cluster const openShiftCluster = new openshift.OpenShiftManagedCluster("myOpenShiftCluster", { // Replace these with your actual values or use Pulumi configuration location: "East US", // Example location, choose the one that fits your needs resourceGroupName: "myResourceGroup", // The resource group where to create the cluster openShiftVersion: "4.7", // Define the version of OpenShift masterPoolProfile: { name: "master", count: 3, // Highly available multi-master setup vmSize: "Standard_DS3_v2", // VM size for the master nodes }, agentPoolProfiles: [ { name: "agentpool", count: 3, osType: "Linux", // OpenShift typically runs on Linux nodes vmSize: "Standard_DS3_v2", // Choose the VM size according to your workloads }, ], // Use an existing service principal or create a new one for OpenShift }); // Step 2: Configure the Kubernetes provider to interact with the OpenShift cluster const k8sProvider = new k8s.Provider("openshiftK8sProvider", { kubeconfig: openShiftCluster.config // This will get the Kubernetes configuration for our OpenShift cluster }); // Step 3: Deploy the 'trino-loadbalancer' Helm chart const trinoLoadBalancer = new k8s.helm.v3.Chart("trinoLoadBalancer", { chart: "trino-loadbalancer", // You might need to specify the repository where the trino-loadbalancer chart is located. // For example: // repo: "http://your-helm-chart-repository/", version: "0.1.0", // Replace with the actual chart version you want to deploy // Values allows you to provide a custom configuration for your chart. values: { /* Custom Trino configuration goes here, for example: trino: { workerCount: 3, }, */ } }, { provider: k8sProvider }); // Ensure to use k8sProvider so Pulumi knows how to communicate with our OpenShift cluster // Export the URL of the deployed Trino service export const trinoUrl = trinoLoadBalancer.getResource("v1/Service", "default/trino-loadbalancer").status.apply(status => `http://${status.loadBalancer.ingress[0].ip}:8080`);

    Let's break down what the code is doing:

    • We first declare an OpenShift Managed Cluster resource. Note that some properties like location, resourceGroupName, and openShiftVersion must be set to values that match your setup. The masterPoolProfile and agentPoolProfiles are configured to define the size and number of master and agent nodes in the OpenShift cluster.

    • After the cluster is provisioned, we configure a Kubernetes provider to grant Pulumi the ability to communicate with the OpenShift cluster using the kubeconfig output provided by the OpenShift cluster resource.

    • Finally, we use Pulumi's Helm Chart resource to install the trino-loadbalancer Helm chart. You need to specify the chart's version and optionally provide custom values for your Trino configuration. The repo property should point to the repository where the Helm chart is hosted, if it's not in the default Helm repository.

    • We then export the trinoUrl, which will give us the external IP address to access the Trino service once it's up and running.

    Make sure to replace placeholders and values with the ones appropriate for your setup, such as the specific location where you want your resources to be created, the resourceGroupName of your Azure resource group, and any specific configuration values for your Trino deployment. If you are providing a custom Helm chart for Trino that's not available in a public repository, you'll need to specify the repo in the Helm chart specification.

    After you run the Pulumi program, you can access the output URL to interact with your Trino instance on Azure OpenShift.

    Remember that Pulumi will keep track of your resources and their state, so you can easily update or destroy your Trino deployment as necessary.