1. Deploy the queue-worker helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    To deploy the queue-worker Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, you'll need to perform several steps. First, you create an AKS cluster, then you configure Pulumi to use the Kubernetes provider to connect to the AKS cluster, and finally, you deploy the Helm chart.

    Here is a step-by-step breakdown of the process:

    1. Create an AKS Cluster: You start by creating the AKS cluster using the azure.containerservice.KubernetesCluster resource. This resource represents an AKS cluster in Pulumi and allows you to define the properties of your cluster such as the version, node size, and the number of nodes.

    2. Configuring Kubernetes Provider: Once the cluster is provisioned, you get the kubeconfig file from the cluster output which enables the Kubernetes provider in Pulumi to interact with your AKS cluster.

    3. Deploy Helm Chart: With the Kubernetes provider configured, you can deploy the queue-worker Helm chart to the AKS cluster using the kubernetes.helm.v3.Chart resource, which represents a Helm chart. You can specify the chart name, release name (optional), version, and any custom values you require for the chart.

    Now, let's write the Pulumi program.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; // Create a resource group for the AKS cluster const resourceGroup = new azure.core.ResourceGroup("aksResourceGroup", { location: "East US", // You can choose the appropriate location }); // Create the AKS cluster const aksCluster = new azure.containerservice.KubernetesCluster("aksCluster", { // Use the resource group name from the created resource resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define the default node pool for the AKS cluster defaultNodePool: { name: "default", nodeCount: 2, // Specify the desired node count for your cluster vmSize: "Standard_DS2_v2", // Choose an appropriate VM size }, // Define the service principal used by the AKS cluster for integration with Azure services // Make sure you set up a service principal with the appropriate permissions or let AKS create one for you servicePrincipal: { clientId: "your-service-principal-client-id", clientSecret: pulumi.secret("your-service-principal-client-secret"), }, dnsPrefix: `${pulumi.getStack()}-kube`, // Unique DNS prefix where the Kubernetes API server will be hosted kubernetesVersion: "1.18.14", // Specify the desired Kubernetes version }); // Export the kubeconfig from the AKS cluster const kubeconfig = aksCluster.kubeConfigRaw; // Define a k8s provider instance using the kubeconfig from the AKS cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the Helm chart on the AKS cluster const helmChart = new k8s.helm.v3.Chart("queue-worker", { // Specify the chart details, like repository (if it's not from the stable repo) and name chart: "queue-worker", version: "1.0.0", // Replace with the correct chart version // values – specify any custom values you want to provide to the chart }, { provider: k8sProvider }); // Export the cluster name and kubeconfig export const clusterName = aksCluster.name; export const kubeConfig = kubeconfig;

    Explanation

    In the code above:

    • azure.core.ResourceGroup: Creates a new Azure resource group to contain the AKS cluster.
    • azure.containerservice.KubernetesCluster: Defines and creates a new AKS cluster with the provided node count, VM size, service principal, and so on.
    • aksCluster.kubeConfigRaw: Retrieves the raw Kubernetes config of the created AKS cluster which is used to communicate with the cluster.
    • k8s.Provider: Sets up the Kubernetes provider with the kubeconfig of the newly created AKS cluster. This allows Pulumi to work with the Kubernetes API.
    • k8s.helm.v3.Chart: Deploys the queue-worker Helm chart using the specified chart version and configuration on the AKS cluster using the Kubernetes provider instance.
    • The export statements make it easy to retrieve the cluster name and kubeconfig file after your Pulumi program has been deployed.

    To run this Pulumi program, you will need to ensure that you have:

    • Installed Pulumi and configured it with Azure.
    • Azure CLI installed and configured with credentials to your Azure account.
    • Node.js and NPM installed to run the TypeScript program.
    • Replaced the placeholder values with actual values such as service principal details and the Helm chart version.

    Note: If you're new to Pulumi and running this program for the first time, please follow the setup instructions on the Pulumi Getting Started page for Azure.


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