1. Deploy the prometheus-process-exporter helm chart on Azure Managed Openshift Service


    To deploy the Prometheus Process Exporter Helm chart on an Azure Managed OpenShift Service, you'll need to complete the following steps:

    1. Set up an Azure Managed OpenShift Service cluster using Pulumi's azure-native package.
    2. Deploy the Prometheus Process Exporter Helm chart to the OpenShift cluster using Pulumi's kubernetes package.

    First, we'll create the Azure Managed OpenShift Service cluster. OpenShift is a distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. Azure Managed OpenShift is a fully managed service that provides you with a Red Hat OpenShift cluster on Azure.

    Once the cluster is set up, we'll install the Prometheus Process Exporter Helm chart on it. Helm is a package manager for Kubernetes, and the Prometheus Process Exporter is a Helm chart that provides a Prometheus exporter for UNIX processes, written in Go with pluggable metric collectors.

    Here's the Pulumi program written in TypeScript that accomplishes this:

    import * as azureNative from "@pulumi/azure-native"; import * as kubernetes from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create an Azure Managed OpenShift Service cluster const resourceGroupName = new azureNative.resources.ResourceGroup("myResourceGroup", { // Provide your resource group properties here }); const openshiftCluster = new azureNative.containerservice.OpenShiftManagedCluster("myOpenShiftCluster", { // Replace with the required properties based on your setup resourceGroupName: resourceGroupName.name, location: resourceGroupName.location, openShiftVersion: "v3.11", // ... other properties such as networkProfile, authProfile, etc. }); // Output the kubeconfig for the OpenShift cluster const kubeconfig = openshiftCluster.kubeconfig.apply(cfg => Buffer.from(cfg, "base64").toString()); // Create a provider for the above OpenShift cluster const openshiftProvider = new kubernetes.Provider("openshiftProvider", { kubeconfig: kubeconfig, }); // Step 2: Deploy the Prometheus Process Exporter Helm chart const prometheusProcessExporterChart = new kubernetes.helm.v3.Chart("prometheus-process-exporter", { // Helm chart details chart: "prometheus-process-exporter", version: "1.3.1", // specify the chart version fetchOpts: { repo: "https://helm.example.com/", // specify the Helm chart repository URL }, // Values to be passed to the Helm chart values: { // Add any values that you would like to configure for the Prometheus Process Exporter }, }, { provider: openshiftProvider }); // Specify the provider to deploy the chart on the OpenShift cluster // Export the chart name export const chartName = prometheusProcessExporterChart.metadata.name;

    In this program:

    • We define an Azure Managed OpenShift Service cluster named myOpenShiftCluster within a specified resource group. You will need to replace the placeholder values within the OpenShift cluster definition with your own values, such as location, version, and network settings.
    • Once the OpenShift cluster is provisioned, we output the kubeconfig, which is required to communicate with your Kubernetes cluster.
    • We create a new Pulumi Kubernetes provider that uses the kubeconfig of our OpenShift cluster. This provider will be used to manage Kubernetes resources on this cluster.
    • We use the kubernetes.helm.v3.Chart class to deploy a Helm chart. We specify the chart name, version, and optionally any configuration values for the chart. In this case, the chart is the Prometheus Process Exporter. You will need to specify the repository where the chart is stored.
    • We pass the OpenShift provider to the Helm chart, so it knows where to deploy the chart.
    • Finally, we export the chart name to view as a stack output.

    Please ensure that you have the Pulumi CLI installed and you're logged in. You'll also need to configure the Pulumi Azure Native provider with the necessary cloud credentials. You can do this by logging into Azure using the Azure CLI and then running pulumi up to create and deploy resources.