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

Question

Pulumi · Accepted Answer

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:

```typescript
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.