1. Deploy the rabbitmq-observability helm chart on Azure Kubernetes Service (AKS)


    To deploy the rabbitmq-observability Helm chart on Azure Kubernetes Service (AKS), we'll go through the following steps:

    1. Create an AKS cluster.
    2. Configure kubectl to connect to the AKS cluster.
    3. Deploy the rabbitmq-observability Helm chart on the AKS cluster.

    We will use Pulumi with azure-native provider to provision an AKS cluster and the kubernetes provider to deploy the Helm chart.

    The azure-native provider interacts directly with Azure's Resource Manager API, allowing for full access to the services it provides. The kubernetes provider allows us to interface with the Kubernetes API to manage the Helm chart within the Kubernetes cluster.

    Before we begin, make sure you have the following prerequisites met:

    • Pulumi CLI installed and set up, with Azure credentials configured.
    • Azure CLI installed to use az commands for additional setup if required.

    Below is the TypeScript program that demonstrates these steps. Throughout the code, I'll add comments explaining each part.

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as random from "@pulumi/random"; // Create a new password for the AKS cluster. const password = new random.RandomPassword("password", { length: 20, special: true, }); // Create a resource group for the AKS cluster. const resourceGroup = new azure_native.resources.ResourceGroup("rg"); // Create an AKS cluster. const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, dnsPrefix: `${pulumi.getStack()}-kube`, agentPoolProfiles: [{ count: 2, vmSize: "Standard_DS2_v2", name: "agentpool" }], servicePrincipalProfile: { clientId: "<YOUR-AZURE-CLIENT-ID>", secret: password.result, }, }, { parent: resourceGroup }); // Export the AKS cluster name and KubeConfig export const clusterName = aksCluster.name; export const kubeConfig = aksCluster.kubeConfig; // Using the resulting KubeConfig to connect kubectl to the AKS cluster. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: aksCluster.kubeConfig.apply(JSON.stringify), }); // Deploy the `rabbitmq-observability` Helm chart into the AKS cluster. const rabbitmqChart = new k8s.helm.v3.Chart("rabbitmq-observability", { chart: "rabbitmq-observability", version: "<CHART-VERSION>", // Specify the version of the Helm chart here fetchOpts: { repo: "<HELM-CHART-REPOSITORY>", // Provide the Helm chart repository URL here }, }, { provider: k8sProvider }); // Export the URL to access the RabbitMQ dashboard if available from the Helm chart. export const rabbitmqDashboardUrl = rabbitmqChart.getResourceProperty("v1/Service", "rabbitmq-observability", "status").apply(status => { // The exact way to get the dashboard external URL may vary based on the service type and chart configuration // Here, we attempt to construct the URL assuming a LoadBalancer service type with an external IP assigned const ip = status.loadBalancer.ingress[0].ip; return `http://${ip}:15672`; // Default RabbitMQ management port is 15672 });

    Here's a breakdown of what each section of the program does:

    • Resource Group: A new resource group is created to contain our AKS cluster.

    • AKS Cluster: We create the AKS cluster by specifying the desired number of nodes, VM sizes, and other parameters. For security, we generate a strong password for the service principal, which is associated with the AKS cluster.

    • KubeConfig: We then export the generated Kubernetes configuration from our AKS cluster. This KubeConfig allows us to interact with the cluster with kubectl commands.

    • Kubernetes Provider: We use the KubeConfig to create an instance of the kubernetes provider. This provider will be used for deploying resources into our AKS cluster.

    • Helm Chart: We define the Helm chart we wish to deploy, rabbitmq-observability. Be sure to replace <HELM-CHART-REPOSITORY> with the URL of the chart's repository, and <CHART-VERSION> with the specific version you wish to deploy.

    • RabbitMQ Dashboard URL: Finally, we attempt to export the dashboard URL for RabbitMQ. This is an estimation as it would depend on how the rabbitmq-observability Helm chart exposes the service. We're assuming a LoadBalancer service with an external IP.

    To deploy this program, you would write it to a file with a .ts extension, navigate to the directory with your Pulumi project, and run pulumi up. Please ensure that you replace <YOUR-AZURE-CLIENT-ID> with your actual Azure Service Principal Client ID.

    Note: Certain assumptions have been made for service principal credentials, image versions, and other parameters, which will need to be adjusted based on your individual needs and available resources. The service principal creation process has been excluded for brevity.

    Remember to check the Pulumi documentation for Azure AKS and the Pulumi documentation for Kubernetes Helm chart for further details and available configuration options.