1. Deploy the prometheus-process-exporter helm chart on Azure Kubernetes Service (AKS)


    To deploy the prometheus-process-exporter Helm chart on Azure Kubernetes Service (AKS) with Pulumi, we'll follow these steps:

    1. Set up an AKS cluster using the azure-native package.
    2. Deploy the prometheus-process-exporter using the kubernetes package's Helm chart resource.

    First, make sure you have Pulumi installed and configured with Azure credentials. You should also have kubectl configured to interact with your AKS clusters.

    Here's how the Pulumi TypeScript program for deploying the prometheus-process-exporter on AKS would look like:

    import * as azure from "@pulumi/azure-native"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an AKS cluster const name = "my-aks-cluster"; // Change this to a unique name const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup"); const k8sCluster = new azure.containerservice.ManagedCluster("myAKSCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 3, // Specify the number of nodes in the node pool vmSize: "Standard_D2_v2", mode: "System", }], dnsPrefix: name, kubernetesVersion: "1.21.5", // Specify the desired Kubernetes version, check available versions in your region identity: { type: "SystemAssigned", }, }, { dependsOn: resourceGroup }); // Export the Kubeconfig to access the AKS cluster export const kubeconfig = pulumi. all([k8sCluster.name, resourceGroup.name]). apply(([clusterName, rgName]) => { return azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }); }).apply(creds => { const encoded = creds.kubeconfigs[0].value; return Buffer.from(encoded, "base64").toString(); }); // Initialize a K8s provider with the kubeconfig from the created cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Step 2: Deploy the prometheus-process-exporter Helm chart const chart = new k8s.helm.v3.Chart("prometheus-process-exporter", { chart: "prometheus-process-exporter", version: "0.1.0", // Specify the chart version you want to deploy fetchOpts: { repo: "https://prometheus-community.github.io/helm-charts", // Helm repo URL where the chart is located }, }, { provider: k8sProvider }); // Export the IP address of the LoadBalancer created for the prometheus-process-exporter service export const prometheusProcessExporterServiceIP = chart.getResourceProperty("v1/Service", "prometheus-process-exporter-prometheus-process-exporter", "status") .apply(status => status.loadBalancer.ingress[0].ip);

    Let's break it down:

    • We begin by importing necessary modules from Pulumi's azure, kubernetes, and the core pulumi packages.
    • We create a new Azure resource group to organize all our resources within Azure.
    • We deploy an AKS cluster with three nodes using the standard D2_v2 size. Notice that the identity field is set to SystemAssigned, which allows AKS to manage the Azure Active Directory integration for you.
    • Once the cluster is created, we extract and export its kubeconfig, which allows you to interact with the cluster using kubectl.
    • We create a Pulumi Kubernetes provider that uses the kubeconfig of the AKS cluster we just created. This provider is used to interact with the AKS cluster when deploying Kubernetes resources.
    • Then we define a Helm chart resource for the prometheus-process-exporter. We specify the chart's name, version, and the repository URL.
    • Lastly, we export the service IP for the prometheus-process-exporter. Note that it uses a Load