1. Deploy the databend-query helm chart on Azure Kubernetes Service (AKS)


    To deploy the databend-query Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, we’ll go through several steps:

    1. Provision an AKS cluster.
    2. Install the Helm Chart into the AKS cluster.

    Before running the code, ensure you have the Azure provider configured with the necessary credentials. This setup assumes you have installed Pulumi and have an Azure subscription.

    Provisioning the AKS Cluster

    First, we’ll provision an AKS cluster. We'll be using the azure-native.hybridcontainerservice.ProvisionedCluster resource for this purpose. This resource allows you to create a fully configured AKS cluster. The cluster configuration includes setting up node pools, Kubernetes version, and enabling features such as RBAC. You would begin by defining the node pool, including details such as the VM size for the nodes and the number of nodes.

    Installing the Helm Chart

    After the AKS cluster is provisioned, we'll deploy the databend-query Helm chart. To accomplish this, we leverage the kubernetes.helm.sh/v3.Chart resource from Pulumi’s Kubernetes provider. This resource is a high-level component that can deploy a Helm chart into a Kubernetes cluster. It allows you to specify the chart to be installed, along with configuration parameters such as chart values, version, and namespace.

    Below is a Pulumi program in TypeScript that demonstrates these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Provision an Azure Kubernetes Service (AKS) cluster // Define the AKS cluster const aksCluster = new azure_native.hybridcontainerservice.ProvisionedCluster("myAksCluster", { location: "East US", // Specify the desired Azure region resourceGroupName: "myResourceGroup", // Ensure this resource group is already created properties: { kubernetesVersion: "1.21.2", // Specify the desired Kubernetes version agentPoolProfiles: [{ count: 2, // Specify the number of nodes in the node pool vmSize: "Standard_D2_v2", // Specify the VM size for the nodes osType: "Linux", // Specify the OS type for the nodes mode: "User", }], identity: { type: "SystemAssigned", }, // More properties might be configured depending on your needs }, }); // Export the AKS cluster's kubeconfig export const kubeconfig = aksCluster.properties.kubeconfig.apply(kc => kc.value); // Step 2: Install the Helm Chart into the AKS cluster // Create a Kubernetes provider instance using the AKS kubeconfig const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the databend-query helm chart const chart = new k8s.helm.v3.Chart("databend-query-chart", { chart: "databend-query", version: "0.1.0", // Replace with the correct chart version fetchOpts: { repo: "http://helm.databend.rs/", // Replace with the correct Helm repo }, }, { provider: k8sProvider }); // Export the public IP to access the databend-query export const databendQueryEndpoint = chart.getResourceProperty("v1/Service", "databend-query", "status").apply(status => status.loadBalancer.ingress[0].ip);

    Let's break down the key parts of the program:

    • We start by importing the required Pulumi libraries.
    • We define the AKS cluster using the azure_native.hybridcontainerservice.ProvisionedCluster resource.
    • We apply the desired configuration for the cluster, such as the location, resource group name, Kubernetes version, and node size.
    • We then create a kubeconfig which we will use for the Pulumi Kubernetes provider to interact with our AKS cluster.
    • We define a Kubernetes provider instance which Pulumi will use to communicate with the AKS cluster.
    • Using the k8s.helm.v3.Chart resource, we install the databend-query Helm chart from its repository.
    • Finally, we export the public IP endpoint of the databend-query service, assuming it exposes a LoadBalancer to access the application.

    Ensure you replace "Standard_D2_v2", "East US", "myResourceGroup", "0.1.0", and http://helm.databend.rs/ with the actual values that match your requirements and the details from the databend-query Helm chart.

    After writing this code, run it with the Pulumi CLI. Pulumi applies the desired state declared in your program to your cloud provider. Once the deployment finishes, it will output the endpoints to access the deployed databend-query application.