1. Deploy the apicurio-registry-streams helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    To deploy the apicurio-registry-streams Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, we'll need to follow these steps:

    1. Set up an AKS cluster.
    2. Configure a Helm chart resource to be deployed to that AKS cluster.

    For the AKS cluster, we'll use the ProvisionedCluster resource from the azure-native.hybridcontainerservice package. This will create the necessary infrastructure on Azure for your Kubernetes cluster.

    Next, we'll use the Chart resource from the kubernetes package to deploy the apicurio-registry-streams Helm chart to the AKS cluster. The Helm chart will be configured with the necessary settings fitting your requirements.

    Note that deploying an AKS cluster also implies creating or using existing resources like a resource group, service principal, and node pool. For simplicity, the example below assumes defaults where possible, but in practice, you may need to specify additional arguments or create prerequisite resources such as a dedicated resource group or a service principal.

    Here's a Pulumi program written in TypeScript that carries out the deployment:

    import * as pulumi from "@pulumi/pulumi"; import * as azureNative from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create the AKS cluster const resourceGroupName = new azureNative.resources.ResourceGroup("myResourceGroup"); const aksCluster = new azureNative.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroupName.name, agentPoolProfiles: [{ count: 3, maxPods: 110, mode: "System", name: "agentpool", osDiskSizeGB: 30, osType: "Linux", vmSize: "Standard_DS2_v2", }], dnsPrefix: "myakscluster", enableRBAC: true, kubernetesVersion: "1.18.14", linuxProfile: { adminUsername: "adminuser", ssh: { publicKeys: [{ keyData: "ssh-rsa <your-ssh-key>", }], }, }, nodeResourceGroup: "myaksNodeResourceGroup", // You will need to create a service principal or use an existing one for the managed cluster // Here is where you add the clientId and secret servicePrincipalProfile: { clientId: "TODO: INSERT YOUR SERVICE PRINCIPAL CLIENT ID", secret: "TODO: INSERT YOUR SERVICE PRINCIPAL SECRET", }, }); // Export the kubeconfig export const kubeconfig = aksCluster.kubeConfigRaw; // Step 2: Deploy the Apicurio Registry Streams Helm chart const apicurioRegistry = new k8s.helm.v3.Chart("apicurio-registry", { chart: "apicurio-registry-streams", // Specify the chart repository URL if it's not a part of the default Helm repo // fetchOpts: { // repo: "https://<your-chart-repo>", // }, // version: "<chart-version>", // Specify the chart version // values: {}, // Provide any specific configuration for Apicurio Registry }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: aksCluster.kubeConfigRaw }) }); // Export the status of the Helm deployment export const apicurioRegistryStatus = apicurioRegistry.status;

    In this program:

    • We create a new AKS cluster by defining an instance of the ManagedCluster resource. We specify the necessary configurations like the number of nodes, disk size, and the VM size.

    • We export the raw kubeconfig of the cluster to use it for deploying Helm charts.

    • We create a Kubernetes Provider to interact with the AKS cluster using the kubeconfig obtained from the AKS cluster creation.

    • We deploy the apicurio-registry-streams Helm chart by creating an instance of the Chart resource. We don't specify a version or values in this example, but you should do so according to your specific needs.

    • Finally, we export the status of the Helm deployment for you to check its success and debug any potential issues.

    Please replace the placeholder values, like ssh-rsa <your-ssh-key>, service principal id, and secret with your actual values. Also, if the apicurio-registry-streams Helm chart is not available in the default repositories, you'll need to specify the URL of the custom chart repository. The Pulumi program will handle the provisioning and deployment of resources on Azure according to the configurations provided.


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