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

    TypeScript

    To deploy the pgbench Helm chart on Azure Kubernetes Service (AKS) using Pulumi, we will go through a multi-step process. Here’s an outline of what we'll do:

    1. Set up an AKS cluster using the appropriate Pulumi Azure Native resource.
    2. Deploy the pgbench Helm chart to the AKS cluster.

    For this deployment, we'll use the azure-native package to create the AKS cluster since it provides native Azure resources in Pulumi, and the kubernetes package to deploy Helm charts on Kubernetes.

    Creating the AKS Cluster

    To create an AKS cluster, we will use the azure-native:containerservice:ManagedCluster resource. This resource allows us to define and create an AKS cluster in the Azure cloud. We'll define the necessary properties for the cluster such as node size, node count, and the Kubernetes version.

    Deploying the Helm Chart

    Once the AKS cluster is setup, we can configure Pulumi to use the Kubernetes provider which will now target the newly created AKS cluster. We will deploy the pgbench Helm chart using the kubernetes.helm.v3.Chart resource.

    Below is the Pulumi program written in TypeScript to accomplish these steps. Note that you should have your Azure credentials configured for Pulumi through the Azure CLI, and that you’ve selected the appropriate Pulumi stack for deployment.

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Provision an AKS cluster const resourceGroupName = new azure_native.resources.ResourceGroup("myResourceGroup"); const managedCluster = new azure_native.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroupName.name, agentPoolProfiles: [{ count: 2, // Number of nodes maxPods: 110, mode: "System", name: "agentpool", osDiskSizeGB: 30, osType: "Linux", vmSize: "Standard_DS2_v2", // VM size for nodes }], dnsPrefix: "myakscluster", // A DNS prefix which must be unique across the Azure cloud kubernetesVersion: "1.18.14", // The version of Kubernetes to use enableRBAC: true, // Enable Kubernetes Role-Based Access Control identity: { type: "SystemAssigned", }, }); // Export the AKS cluster's kubeconfig export const kubeConfig = pulumi. all([managedCluster.name, resourceGroupName.name]). apply(([clusterName, rgName]) => { return azure_native.containerservice.listManagedClusterUserCredentials({ resourceName: clusterName, resourceGroupName: rgName, }); }).apply(creds => Buffer.from(creds.kubeconfigs[0].value, 'base64').toString()); // Use the generated kubeconfig to interact with the AKS cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeConfig, }); // Deploy the `pgbench` helm chart const pgbenchChart = new k8s.helm.v3.Chart("pgbench", { chart: "pgbench", version: "1.0.0", // Specify the chart version you want to deploy fetchOpts: { repo: "https://charts.your-repository.com/", // The Helm chart repository URL where `pgbench` is located }, }, { provider: k8sProvider }); // Export the public URL for the application export const serviceUrl = pgbenchChart.getResourceProperty("v1/Service", "pgbench-pgbench", "status") .apply(status => `http://${status.loadBalancer.ingress[0].ip}`);

    This program does the following:

    • It defines a new resource group for our AKS cluster.
    • It then creates an AKS cluster with the specified properties and outputs the kubeconfig required to interact with the cluster.
    • It sets up a new Kubernetes provider pointing to the AKS cluster using the generated kubeconfig.
    • It deploys the pgbench Helm chart to the AKS cluster using the Helm Chart resource and the Kubernetes provider configured to point at the AKS cluster.
    • Finally, it exports the URL through which you can access the pgbench service.

    Make sure to replace the chart, version, and repo properties within the pgbenchChart definition to match the actual values for your Helm chart repository.

    Once you've configured this program, you can run it using the Pulumi CLI:

    pulumi up

    This command will provision the resources as defined. You will be prompted to confirm the deployment after reviewing the plan that Pulumi presents.


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