1. Deploy the orion-ld helm chart on Azure Managed Openshift Service


    To deploy the orion-ld helm chart on an Azure Managed Openshift Service using Pulumi, you would need to go through several steps:

    1. Set up an Azure Managed Openshift Service.
    2. Configure your Pulumi environment to communicate with the Azure Kubernetes Service (AKS).
    3. Use the Pulumi Kubernetes provider to deploy the orion-ld helm chart onto your Openshift cluster.

    Below, you'll find a detailed Pulumi TypeScript program that performs these steps. Prior to running this Pulumi program, make sure you have authenticated to Azure and set up your Pulumi stack with the necessary configuration.

    First, we'll set up the Azure Managed Openshift Service using azure-native.containerservice.OpenShiftManagedCluster. This resource manager will help us create and manage an Openshift cluster on Azure.

    Next, we will deploy the orion-ld Helm chart onto this cluster using the Pulumi Kubernetes provider, especially the kubernetes.helm.v3.Chart resource. This assumes you have Helm installed in your environment and that it's configured to manage packages on your Kubernetes cluster.

    The orion-ld Helm chart details such as the repository URL where the chart is located will need to be specified accurately in the Pulumi code.

    Here's the TypeScript program that performs these actions:

    import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an Azure Managed Openshift Service const openshiftManagedCluster = new azure.containerservice.OpenShiftManagedCluster("openshiftCluster", { // Replace with your specific resource group name you want the Openshift cluster in resourceGroupName: "myResourceGroup", // Location where you want your cluster to be deployed location: "EastUS", // Define the agent pool profile etc. agentPoolProfiles: [{ name: "agentpool", count: 3, vmSize: "Standard_DS2_v2", osType: "Linux", // Change as needed role: "compute" // The default is 'compute', change as needed }], // OpenShift version openShiftVersion: "4.4", // Specify the version you want // Master pool profile (configure as needed) masterPoolProfile: { name: "masterpool", count: 3, vmSize: "Standard_DS2_v2", // Change to the required VM size }, // Add additional required properties as necessary }); // Step 2: Configure Pulumi Kubernetes provider to deploy Helm chart const openshiftK8sProvider = new k8s.Provider("openshiftK8sProvider", { kubeconfig: openshiftManagedCluster.config.apply(config => config.kubeConfig), // Use the kubeconfig output from the cluster creation }); // Step 3: Deploy the orion-ld Helm chart onto the Openshift cluster const orionLdChart = new k8s.helm.v3.Chart("orion-ld-chart", { chart: "orion-ld", // Specify additional Helm chart parameters such as version and values // including the repository if the chart is not in the default Helm chart repository }, { provider: openshiftK8sProvider }); // Export the Kubernetes config export const kubeConfig = openshiftManagedCluster.config.apply(config => config.kubeConfig);

    To use this Pulumi code:

    1. Save this to a file with a .ts extension (e.g., openshift-orion-ld-deploy.ts).
    2. Ensure you have the Pulumi CLI installed and your Azure credentials configured.
    3. Run pulumi up to deploy this stack.

    Remember to replace placeholders like myResourceGroup with your specific Azure resource group name and other necessary details.

    The kubeConfig is exported so that you can easily access your cluster's configuration information from the resulting Pulumi stack output. Once you have this, you can use kubectl or other Kubernetes tooling in combination with this configuration to manage your cluster.

    Please note that orion-ld Helm chart should have specific values and settings that you might need to specify using the values property of the k8s.helm.v3.Chart resource. This sample does not specify these values as they would be unique to your use-case. You would typically get these values from orion-ld's Helm chart documentation.

    Lastly, ensure that your Kubernetes cluster has enough resources (CPU, memory) to accommodate the applications deployed by the orion-ld chart, and you may also need to adjust firewall or network settings to allow application traffic as needed.