1. Deploy the tmf-component helm chart on Azure Kubernetes Service (AKS)

    TypeScript

    To deploy the tmf-component Helm chart on Azure Kubernetes Service (AKS), you'll need to go through several steps using Pulumi. These include setting up the necessary Azure infrastructure, configuring Kubernetes on AKS, and finally deploying the Helm chart.

    Below is a brief explanation of the process and the code you could use to deploy the tmf-component Helm chart:

    1. Creating an AKS Cluster: Before deploying the Helm chart, you need to have a Kubernetes cluster running on AKS. You'll create an AKS cluster using the azure-native provider, which allows you to declare the Azure resources in a Pulumi program.

    2. Configuring the Kubernetes Provider: To interact with the Kubernetes cluster and apply the Helm chart, you need to configure the Kubernetes provider. The provider will use the kubeconfig obtained from the AKS cluster setup.

    3. Deploying the Helm Chart: Once you have the cluster and the Kubernetes provider set up, you can deploy the Helm chart to your AKS cluster.

    4. Exporting Output: After the deployment, it's helpful to output the Kubernetes cluster name or other relevant information, which can be done using export in Pulumi.

    Let's first install the necessary dependencies with npm:

    npm install @pulumi/azure-native @pulumi/kubernetes @pulumi/pulumi

    Now, here's the Pulumi TypeScript program that encapsulates these steps:

    import * as azure from "@pulumi/azure-native"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an AKS Cluster const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup"); const cluster = new azure.containerservice.ManagedCluster("myAKSCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 3, // Example node count, adjust as needed vmSize: azure.containerservice.VMSizeTypes.Standard_DS2_v2, // Example size, adjust as needed mode: "System", name: "agentpool" }], dnsPrefix: "myakscluster", identity: { type: "SystemAssigned", } }); // Obtain the Kubeconfig after the cluster is created to configure the Kubernetes provider const creds = pulumi.all([cluster.name, resourceGroup.name]).apply(([clusterName, rgName]) => azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, })); const kubeconfig = creds.apply(creds => Buffer.from(creds.kubeconfigs[0].value, 'base64').toString()); // Step 2: Configure the Kubernetes provider const k8sProvider = new k8s.Provider("myK8sProvider", { kubeconfig: kubeconfig, }); // Step 3: Deploy the Helm Chart to AKS const tmfComponentChart = new k8s.helm.v3.Chart("tmf-component", { chart: "tmf-component", version: "1.0.0", // Example version, adjust as needed fetchOpts: { repo: "http://myhelmrepo.com/", // Example repository, adjust to where your chart is located }, }, { provider: k8sProvider }); // Step 4: Export the kubeconfig and cluster name export const aksClusterName = cluster.name; export const kubeConfigOutput = kubeconfig;

    Explanation:

    • We start by creating an Azure resource group to hold the AKS cluster using the azure-native provider.
    • Next, we create an AKS cluster within the resource group and define the size and number of nodes in the agent pool.
    • Once the cluster is created, we get the credentials to generate the kubeconfig file, which is necessary for Pulumi to communicate with the AKS cluster.
    • We instantiate the Kubernetes provider with the kubeconfig from the AKS cluster.
    • Then, we deploy the tmf-component Helm chart using Pulumi’s k8s.helm.v3.Chart class.
    • Finally, we export the cluster name and kubeconfig so you can access your cluster using kubectl or other Kubernetes tools.

    Make sure to replace the placeholder values — such as the Helm chart version and repository URL(http://myhelmrepo.com/) — with the actual values for the tmf-component chart.

    To run this Pulumi program, save it to a file (e.g., index.ts), and execute the following commands:

    pulumi up

    The pulumi up command will preview and deploy the changes described by the program. It will create an AKS cluster and deploy the specified Helm chart into it. After execution, you'll see the exported outputs, which you can use to interact with your AKS cluster.