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

Question

Pulumi · Accepted Answer

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:

```typescript
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