1. Deploy the tt-workflow helm chart on Azure Kubernetes Service (AKS)


    Deploying a Helm chart on AKS using Pulumi involves several steps. We'll begin by creating an AKS cluster, and then we'll deploy our Helm chart to the cluster.

    Create an Azure Kubernetes Service Cluster

    To deploy the tt-workflow Helm chart on Azure Kubernetes Service (AKS), we'll start by provisioning an AKS cluster. We will use azure-native.hybridcontainerservice.ProvisionedCluster to create a cluster in a given location with specified properties.

    Deploy the Helm chart to AKS

    Once we have our AKS cluster up and running, we can deploy the Helm chart to the cluster. We'll use the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes provider to deploy the tt-workflow Helm chart.

    Below is a full Pulumi program written in TypeScript:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Create an AKS cluster const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", { // Required parameters for creating AKS cluster resourceGroupName: "yourResourceGroupName", location: "West US", agentPoolProfiles: [{ count: 1, maxPods: 110, mode: "System", name: "agentpool", osType: "Linux", vmSize: "Standard_DS2_v2", }], dnsPrefix: "yourDnsPrefix", // Replace with a DNS prefix of your choice kubernetesVersion: "1.18.14", }); // Once the cluster is created, we can obtain its kubeconfig. const creds = pulumi.all([aksCluster.name, aksCluster.resourceGroupName]).apply(([name, rg]) => { return azure_native.containerservice.listManagedClusterUserCredentials({ resourceName: name, resourceGroupName: rg, }); }); // Export the kubeconfig. const kubeconfig = creds.apply(creds => { const base64Kubeconfigs = creds.kubeconfigs[0].value; return Buffer.from(base64Kubeconfigs, 'base64').toString(); }); export const kubeconfigOutput = kubeconfig; // Creating a new k8s provider using the kubeconfig. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploying a Helm Chart onto the AKS cluster. const helmChart = new k8s.helm.v3.Chart("tt-workflow-chart", { chart: "tt-workflow", // Replace with the correct repository or local path fetchOpts:{ repo: "http://example.com/path/to/chart", }, }, { provider: k8sProvider }); // Export the public endpoint to access the tt-workflow application. export const endpoint = aksCluster.fqdn.apply(fqdn => `http://${fqdn}:8080`);


    Here's what the code is doing:

    1. AKS Cluster Creation: We define an azure_native.containerservice.ManagedCluster resource named aksCluster to create a new AKS cluster. This configuration includes a single node in the agent pool and specifies the VM size and Kubernetes version to use.

    2. Kubeconfig Retrieval: Once the cluster is created, the kubeconfig for the cluster is retrieved using azure_native.containerservice.listManagedClusterUserCredentials. This configuration allows us to interact with the cluster via kubectl or a Kubernetes client library.

    3. Kubernetes Provider Setup: With the retrieved kubeconfig, we set up a Kubernetes provider instance. This provider is responsible for deploying resources onto the Kubernetes cluster managed by AKS.

    4. Helm Chart Deployment: Finally, we use k8s.helm.v3.Chart to deploy the Helm chart. Make sure to replace the fetchOpts.repo with the actual URL or local path to your tt-workflow Helm chart. This resource is what actually deploys your application onto the AKS cluster.

    5. Exports: The code exports two values:

      • The kubeconfig necessary to connect to and manage the Kubernetes cluster manually.
      • The endpoint URL where the tt-workflow service can be accessed after it is deployed.

    Please ensure that the placeholder values such as resourceGroupName, yourDnsPrefix, and the Helm chart repository path are replaced with the actual values you intend to use for your deployment.

    To run this Pulumi program, you would typically execute the following commands:

    1. pulumi stack init to create a new stack.
    2. pulumi up to create resources defined in the program.

    The program output will provide you with the kubeconfig needed to connect to the AKS cluster and the endpoint to access the tt-workflow application.

    Please note that Pulumi requires you to have appropriate Azure credentials configured on your system to authenticate with Azure services. These credentials can typically be set up using the Azure CLI with az login.