1. Deploy the elasticsearch-sed helm chart on Azure Managed Openshift Service

    TypeScript

    Deploying an Elasticsearch Helm chart on Azure Managed OpenShift Service involves a few steps: setting up the Azure Managed OpenShift cluster, and then deploying a Helm chart onto that cluster. Below is a step-by-step guide followed by TypeScript code that uses Pulumi to set up and manage these services.

    Prerequisites

    Before running the Pulumi code, you should have the following prerequisites:

    1. Pulumi CLI installed and configured with your Azure credentials.
    2. Azure CLI installed and logged in to your Azure account.
    3. Node.js and npm installed to run TypeScript programs.

    Step 1: Creating an Azure Managed OpenShift Cluster

    First, you'll need an Azure Managed OpenShift Cluster where your Elasticsearch instance will run. You would use Pulumi’s azure-native package that provides native Azure provider support to create an OpenShift Managed Cluster resource. In this example, it's simplified and assumes you're provisioning with some default settings like location and node count.

    Step 2: Installing the Elasticsearch Helm Chart on the Cluster

    With the cluster ready, you'll move onto deploying your chart. Pulumi's kubernetes package includes a resource named Chart which wraps the Helm chart for ease of deployment into a Kubernetes cluster. The Chart resource requires some basic parameters such as the chart name and version.

    Below is the TypeScript code that accomplishes these steps. It imports the necessary modules, creates an OpenShift Managed Cluster, then deploys the elasticsearch Helm chart. If the elasticsearch-sed helm chart is in a custom repository, you need to adjust repo and chart properties accordingly.

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create Azure Managed OpenShift Cluster const managedClusterName = "my-openshift-cluster"; const resourceGroupName = new azure_native.resources.ResourceGroup("myResourceGroup"); const managedCluster = new azure_native.containerservice.OpenShiftManagedCluster("myOpenShiftManagedCluster", { resourceName: managedClusterName, resourceGroupName: resourceGroupName.name, location: "East US", // Specify the location you prefer openShiftVersion: "4.3", // Specify the version of OpenShift you'd like to use // Fill in more details according to your infrastructure needs // Provided here are only the required properties for simplicity }); // Step 2: Install the Elasticsearch Helm chart on the OpenShift Cluster // Create a provider resource to set up the Kubernetes connection to the newly created OpenShift Cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: managedCluster.kubeconfig, // Use the output kubeconfig from the managedCluster }); // Deploy Elasticsearch Helm chart using the Kubernetes provider const elasticsearchChart = new k8s.helm.v3.Chart("elasticsearch", { chart: "elasticsearch", version: "7.10.0", // Replace with the specific chart version you need // If the chart is in a custom repo, specify `repo` attribute here // FetchOpts can be used to provide auth and other configuration if needed values: { // Configure your Helm chart values here e.g. // replicas: 3 }, }, { provider: k8sProvider }); // Export the public endpoint of Elasticsearch export const elasticsearchEndpoint = elasticsearchChart.getResource("v1/Service", "elasticsearch").status.loadBalancer.ingress[0].hostname;

    Pulumi manages the state and details of this infrastructure, making it easier to iterate or make changes to the OpenShift cluster or the Helm chart deployment.

    To run this program, do the following:

    1. Save the code to a file named index.ts.
    2. Run npm install @pulumi/pulumi @pulumi/azure-native @pulumi/kubernetes to install Pulumi packages.
    3. Execute pulumi up to preview and deploy the changes.

    After deployment, Pulumi will output the endpoint of the Elasticsearch service which can be used to interact with your Elasticsearch instance. Remember to respect Azure's resource group, service quotas, and policies while creating resources.

    For official resource references, check out the Pulumi Azure Native documentation and the Pulumi Kubernetes documentation.