1. Deploy the livekit-recorder helm chart on Azure Managed Openshift Service

    TypeScript

    To deploy the livekit-recorder Helm chart on an Azure Managed OpenShift Service using Pulumi, you'll need to follow these steps:

    1. Set up an Azure Managed OpenShift cluster.
    2. Install the livekit-recorder Helm chart into the cluster.

    Here's a detailed breakdown of these steps along with an explanation of each Pulumi resource being used to accomplish the task.

    Step 1: Set up an Azure Managed OpenShift Cluster

    To create an Azure Managed OpenShift cluster, you will use the azure-native.containerservice.OpenShiftManagedCluster resource. This resource provisions a managed OpenShift cluster on Azure, giving you a Kubernetes-conformant cluster where you can deploy your applications using Helm charts.

    Here is the breakdown of the properties for OpenShiftManagedCluster:

    • resourceGroupName: The name of the Azure resource group in which you want the OpenShift cluster to be.
    • location: Azure region where you want the cluster to be deployed.
    • openShiftVersion: The version of OpenShift you wish to deploy.
    • masterPoolProfile: Configuration for master nodes such as size, count, and other settings.
    • agentPoolProfiles: Configuration for worker nodes such as the size, count, OS type, and which VM size they should use.

    Step 2: Install the livekit-recorder Helm Chart

    Once the OpenShift cluster is ready, you can deploy Helm charts to it. You'll use the kubernetes.helm.v3.Chart resource for this purpose, which simplifies the deployment and management of Helm charts in a Kubernetes cluster.

    For this resource, the following properties are important:

    • chart: The name of the Helm chart to deploy.
    • values: A set of values to configure the Helm chart. This is equivalent to using values.yaml in Helm.
    • version: The version of the Helm chart you want to install.
    • fetchOpts: If the chart is not part of the stable Helm repository, use fetchOpts to specify custom repositories.

    Below is a Pulumi program written in TypeScript that accomplishes these steps. Please note, before running this code, you will need to configure Pulumi with the appropriate Azure credentials and install the required packages with npm install.

    import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; import * as azuread from "@pulumi/azuread"; import * as azure_native from "@pulumi/azure-native"; // Step 1: Set up an Azure Managed OpenShift Cluster const resourceGroupName = new azure_native.resources.ResourceGroup("resourceGroup", { location: "eastus", // Change this to the region you wish to deploy in }); const managedClusterName = "my-openshift-cluster"; const openshiftManagedCluster = new azure_native.containerservice.OpenShiftManagedCluster(managedClusterName, { resourceName: managedClusterName, location: resourceGroupName.location, resourceGroupName: resourceGroupName.name, // Define master and agent configuration here, such as the size, count, etc. // Ensure you gather and populate the following details as per your requirements // and Azure subscription's constraints. // ... (omitted details for brevity) }); // We need to export the OpenShift cluster's kubeconfig so that we can pass it to the Helm chart resource. export const kubeconfig = openshiftManagedCluster.config; // replace with actual output property. // Step 2: Install the `livekit-recorder` Helm Chart const livekitRecorderChart = new k8s.helm.v3.Chart("livekit-recorder", { chart: "livekit-recorder", fetchOpts: { repo: "https://livekit.github.io/helm-charts", // Replace with the Helm repository containing `livekit-recorder` }, // If you have configured values you wish to override, specify them here // values: {} }, { provider: new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig }) }); // Export the public IP address of the `livekit-recorder` service once it's deployed export const livekitRecorderIp = livekitRecorderChart.getResourceProperty( "v1/Service", "livekit-recorder", "status", "loadBalancer", "ingress", 0, "ip" );

    You'll need to fill in the configurations where specified, particularly in defining the master and agent configuration details for the OpenShiftManagedCluster according to your application's requirements and your Azure subscription capabilities.

    After completion, livekit-recorder Helm Chart will be deployed on your configured Azure Managed OpenShift Service, and you should be able to use the exported IP address to access the livekit-recorder service.

    Remember to replace placeholders in the code with actual values, such as the repo URL for the Helm chart, and configurations for the OpenShift cluster. Also, package imports should match the installed NPM packages, which you should install using npm or yarn before running Pulumi commands.


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