1. Deploy the scorpiobroker helm chart on Azure Kubernetes Service (AKS)


    Deploying a Helm chart to an Azure Kubernetes Service (AKS) cluster using Pulumi involves several steps. First, you'll need to create an AKS cluster if you don't have one already. Then, you will deploy the Helm chart to that cluster. To accomplish this, we'll use the azure-native package to create and configure the AKS cluster and the kubernetes package to deploy the Helm chart.

    Here is a detailed walkthrough of a Pulumi program, written in TypeScript, to deploy the scorpiobroker Helm chart on AKS:

    Step 1: Setting up the AKS Cluster

    We will create an AKS cluster by defining a ProvisionedCluster resource. This resource requires several properties such as resourceGroupName, identity, location, properties, and so on. You need to ensure that your Pulumi program is authenticated with Azure and has the necessary permissions to create resources.

    Step 2: Installing the Helm Chart

    Once the AKS cluster is ready, we will use the Chart resource from the kubernetes.helm.sh/v3 package to deploy the scorpiobroker Helm chart on the AKS cluster. For the Chart resource, you must specify the repository URL of the Helm chart and the version you wish to deploy.

    Step 3: Configuring kubectl

    Before the Helm chart can be deployed, Pulumi needs to configure kubectl to communicate with the AKS cluster. This usually involves obtaining the kubeconfig from the created AKS cluster resource.

    Now let's see a Pulumi program accomplishing this task:

    import * as azure from "@pulumi/azure-native"; import * as azuread from "@pulumi/azuread"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an AKS cluster const resourceGroup = new azure.resources.ResourceGroup("resourceGroup", { // Define resource group properties if necessary }); const adApp = new azuread.Application("adApp", { // Define application properties if necessary }); const adSp = new azuread.ServicePrincipal("adSp", { applicationId: adApp.applicationId, }); const adSpPassword = new azuread.ServicePrincipalPassword("adSpPassword", { servicePrincipalId: adSp.id, // Define service principal password properties if necessary }); const k8sCluster = new azure.containerservice.KubernetesCluster("k8sCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, defaultNodePool: { name: "default", nodeCount: 2, vmSize: "Standard_DS2_v2", }, dnsPrefix: pulumi.interpolate(`${resourceGroup.name}-kube`), servicePrincipal: { clientId: adApp.applicationId, clientSecret: adSpPassword.value, }, // Define additional cluster properties if necessary }); // Export the kubeconfig to access the AKS cluster const creds = pulumi.all([k8sCluster.name, resourceGroup.name]).apply(([name, rgName]) => { return azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: name, }); }); const encoded = creds.kubeconfigs[0].value; export const kubeconfig = pulumi.secret(encoded.apply(enc => Buffer.from(enc, "base64").toString())); // Use the kubeconfig to create a k8s provider instance const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Step 2: Deploy the Helm chart using the new instance of the k8s provider. const chart = new k8s.helm.v3.Chart("scorpiobroker-chart", { repo: "exampleRepo", // Replace with the correct repository for the scorpiobroker chart chart: "scorpiobroker", version: "1.0.0", // Specify the chart version // You can define values to customize the deployment if necessary }, { provider: k8sProvider }); // Useful for debugging: output the public IP address for the AKS cluster service endpoint export const publicEndpoint = k8sCluster.privateFqdn;

    In this program:

    • We set up a resource group and AKS cluster using the azure-native package.
    • We export the kubeconfig from the AKS cluster, which will be used to configure kubectl.
    • We created a provider for Kubernetes that uses our kubeconfig.
    • We deploy the scorpiobroker Helm chart using a Helm Chart resource.

    Note some placeholders like exampleRepo which you would need to replace with actual repository URLs where the scorpiobroker Helm chart is hosted.

    After completing the Pulumi program, you can deploy your infrastructure as code by running:

    pulumi up

    This will prompt you to confirm the deployment after showing you a preview of the resources that will be created. If everything looks correct, you can proceed with the deployment. After the deployment completes, Pulumi will output any exported values, such as the kubeconfig and the public endpoint. You can use these outputs to interact with your AKS cluster.

    Keep in mind that Helm charts can have a set of values that you can override as per your requirements (values property), so you should refer to the documentation for scorpiobroker to tailor your deployment.

    Remember to manage your Pulumi stacks responsibly. You can clean up the resources once you're done with them to avoid incurring costs:

    pulumi destroy

    Always review the preview before confirming the destruction of resources to ensure you don’t remove anything unintentionally.