1. Deploy the ibm-glusterfs helm chart on Azure Managed Openshift Service

    TypeScript

    Deploying an IBM GlusterFS Helm chart on Azure Managed OpenShift Service involves creating an OpenShift cluster on Azure and then deploying the Helm chart to this cluster. In Pulumi, you can accomplish this task by using the Azure Native provider to create an OpenShift cluster and the Kubernetes provider to deploy a Helm chart.

    Below you will find a detailed Pulumi program written in TypeScript, which performs the following steps:

    1. Create an Azure Resource Group: A container that holds related resources for an Azure solution.
    2. Deploy an Azure Managed OpenShift Cluster: Utilize resources from the Azure Native package to create an OpenShift cluster.
    3. Install GlusterFS Helm chart on the cluster: Using the Kubernetes provider, deploy the GlusterFS Helm chart into the cluster.

    First, make sure you have Pulumi CLI installed and that you have configured your Azure credentials for Pulumi.

    Next, initialize a new Pulumi project if you haven't done so already:

    pulumi new azure-typescript

    Now, let's write the Pulumi program:

    import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create an Azure Resource Group const resourceGroup = new azure_native.resources.ResourceGroup("myResourceGroup"); // Step 2: Deploy an Azure Managed OpenShift Cluster const openshiftCluster = new azure_native.redhatopenshift.OpenShiftCluster("myOpenShiftCluster", { // Be sure to provide the necessary details according to your infrastructure needs location: resourceGroup.location, resourceGroupName: resourceGroup.name, openShiftVersion: "4.3.0", // Provide a valid OpenShift version masterProfile: { vmSize: "Standard_D4s_v3", // This is a common VM size, but you may choose another valid size. }, networkProfile: { podCidr: "10.128.0.0/14", serviceCidr: "172.30.0.0/16", }, tags: { environment: "test" } }); // Step 3: Define the K8s provider to interact with the OpenShift cluster // This step requires that OpenShift is already up and running and has `kubeconfig` available const k8sProvider = new k8s.Provider("k8s", { // The `kubeconfig` for the cluster needs to be provided either directly or through a file // In a production setting, it's important to secure access to the kubeconfig kubeconfig: openshiftCluster.kubeconfig.apply(kubeconfig => `${kubeconfig}`), }); // Step 4: Install the GlusterFS Helm chart on the cluster const glusterfsHelmChart = new k8s.helm.v3.Chart("ibm-glusterfs", { // Define the chart, version, repository or a chart path in a known Helm repository chart: "ibm-glusterfs", version: "x.y.z", // Replace with a valid chart version fetchOpts: { repo: "http://my-chart-repo/repository", // Replace with the chart's repository URL }, }, { provider: k8sProvider }); // Export the kubeconfig and the OpenShift cluster API URL export const kubeconfig = openshiftCluster.kubeconfig; export const clusterApiUrl = openshiftCluster.kubeconfig.apply(config => { const urlMatcher = new RegExp(/server: (\S+)/); const matches = config.match(urlMatcher); if (matches && matches.length > 1) { return matches[1]; } throw new Error("Kubeconfig does not contain a server URL"); });

    Explanation of each step:

    • Step 1 creates a resource group to organize Azure resources.
    • Step 2 uses the azure_native.redhatopenshift.OpenShiftCluster class to create a managed OpenShift cluster within the resource group. You must modify the profile properties accordingly to match your specific requirements.
    • Step 3 sets up a Kubernetes provider in Pulumi, which knows how to communicate with the OpenShift cluster, using the kubeconfig emitted by our OpenShift cluster resource.
    • Step 4 uses the k8s.helm.v3.Chart class to deploy the GlusterFS Helm chart to the cluster, specifying the chart name, version, and repository location.

    Keep in mind that your Helm chart version (x.y.z) and repository URL (http://my-chart-repo/repository) need to be specified according to where your helm chart is actually located. Also, you may need to configure other chart settings such as values or namespace depending on the GlusterFS Helm chart you are using.

    The kubeconfig is particularly sensitive as it grants access to your cluster. It should be handled securely and not exposed unnecessarily. In this code, it is exported for convenience, but you should consider more secure ways to manage kubeconfig, especially in production or shared environments.

    This program assumes that you know how to secure your kubeconfig and other sensitive information, as well as that you understand the interactions between Pulumi and Azure. It's crucial to review the Pulumi documentation of the Azure Native provider for detailed instructions and best practices.