1. Deploy the httpd helm chart on Azure Managed Openshift Service

    TypeScript

    To deploy the httpd Helm chart on an Azure Managed OpenShift Service, we will walk through a simple program with Pulumi using TypeScript. Our program will perform the following steps:

    1. Create an Azure Managed OpenShift Cluster.
    2. Deploy the httpd Helm chart using the Pulumi Kubernetes provider and Helm package.

    Before you begin, make sure you have the following prerequisites in place:

    • A Pulumi account with the CLI installed and configured with your account.
    • Access to an Azure subscription and the Azure CLI installed and logged in.
    • The kubectl CLI installed to interact with Kubernetes clusters.

    Firstly, we will create an Azure Managed OpenShift Cluster. For this, we use the OpenShiftManagedCluster class from the azure-native provider. This will set up the infrastructure required to run our OpenShift cluster.

    After the cluster is up and running, we will deploy the httpd Helm chart. Pulumi's Kubernetes provider can deploy applications using the Chart resource from the helm.sh package, which allows us to deploy any Helm chart into our Kubernetes cluster.

    Let's go through the Pulumi program.

    import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create an Azure Managed OpenShift Cluster const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup"); const openshiftManagedCluster = new azure.containerservice.OpenShiftManagedCluster("myOpenShiftCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // We'll use the location of the resource group for our cluster. openShiftVersion: "4.3", // Specify your desired OpenShift version. // Define master and worker profiles, other required parameters are defined with default values for simplicity. masterPoolProfile: { name: "master", // Name of the master pool. count: 1, // Number of master nodes (keep it small for cost-saving, yet for production use you may need more). vmSize: "Standard_D4s_v3" // Size of the VMs. }, agentPoolProfiles: [{ name: "agentpool", // Name of the agent pool. count: 2, // Number of agents (these are your worker nodes). vmSize: "Standard_D4s_v3", // Size of the VMs. role: "compute", // Role of the agent pool, 'compute' for worker nodes. }], }); // Export the kubeconfig of the Managed OpenShift Cluster export const kubeconfig = openshiftManagedCluster.config; // Step 2: Deploy the httpd Helm Chart into Azure Managed OpenShift Service const myCluster = new k8s.Provider("myK8sProvider", { kubeconfig: openshiftManagedCluster.config, }); const httpdChart = new k8s.helm.v3.Chart("httpdChart", { chart: "httpd", version: "0.3.2", // Make sure this is the version you wish to deploy. fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, }, { provider: myCluster }); // Export the public endpoint of the httpd service export const httpdServiceEndpoint = httpdChart.getResourceProperty("v1/Service", "httpd", "status");

    In the above program:

    • We initialize a new resource group which will contain our Openshift cluster.
    • We then use the OpenShiftManagedCluster class from the azure-native provider to create our OpenShift cluster. We specify the OpenShift version, the size of the master, and worker node VMs, and the number of nodes.
    • The kubeconfig is exported, which allows you to use kubectl to interact with the cluster outside of Pulumi programs.
    • Next, we create a Pulumi Kubernetes provider that uses the kubeconfig from our managed cluster.
    • We then declare a Helm chart resource using the Pulumi Kubernetes provider to deploy the httpd Chart, from Bitnami's Helm repository.
    • Finally, we export the service endpoint of our httpd deployment. You can use this URL to access your httpd service externally.

    To run this program:

    1. Save the code to a file with a .ts extension, e.g., deploy-httpd-openshift.ts.
    2. Use cd to change into the directory containing your file.
    3. Run pulumi up to launch the program. Pulumi will print out the expected state and ask for confirmation before provisioning resources.

    Please note, provisioning a managed OpenShift cluster on Azure may take some time, and costs will be incurred on your Azure account. Be sure to destroy the resources with pulumi destroy once you no longer need them to avoid extra charges.