1. Deploy the alb-controller helm chart on Kubernetes


    To deploy the alb-controller Helm chart on a Kubernetes cluster using Pulumi, you can utilize the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes provider. This resource allows you to deploy Helm charts to a Kubernetes cluster. The Chart resource provides a way to manage Helm chart releases in a declarative way and integrates with Pulumi's infrastructure as code approach.

    In this Pulumi program, we will:

    1. Use the kubernetes.helm.v3.Chart resource to deploy the alb-controller Helm chart.
    2. Assume that you have already set up and configured the Pulumi CLI and the Kubernetes cluster where you will deploy the Helm chart.
    3. Assume that you have Helm and kubectl installed, and they are configured to interact with your Kubernetes cluster.

    Below is the TypeScript program to deploy the alb-controller Helm chart:

    import * as k8s from "@pulumi/kubernetes"; // Create a new alb-controller Helm chart release. const albControllerRelease = new k8s.helm.v3.Chart("alb-controller", { chart: "aws-load-balancer-controller", version: "<chart version>", // Specify the chart version you wish to deploy fetchOpts: { repo: "https://aws.github.io/eks-charts", // The repository where the chart is located }, // Values allow you to customize your Helm chart deployments. // Replace `<namespace>` with the namespace where you want to install the alb-controller // Replace other placeholder values with actual values required by the Helm chart. values: { clusterName: "<your-cluster-name>", region: "<aws-region>", vpcId: "<vpc-id>", // Additional custom values for alb-controller Helm chart can go here }, namespace: "<namespace>", // The Kubernetes namespace to deploy into }); // Export the Kubernetes namespace where alb-controller is deployed export const namespace = albControllerRelease.namespace;

    Replace the <chart version>, <your-cluster-name>, <aws-region>, <vpc-id>, and <namespace> placeholders with the actual values that are appropriate for your Kubernetes cluster and AWS environment. You can also customize the values field further based on the alb-controller Helm chart's configuration options.

    Here's a breakdown of the key components of this program:

    • import * as k8s from "@pulumi/kubernetes": This line imports the Pulumi Kubernetes SDK, which is used to interact with Kubernetes resources.

    • k8s.helm.v3.Chart: We create a new instance of the Helm Chart resource. This represents a single Helm chart deployment in our cluster.

    • chart: "aws-load-balancer-controller": Here, we specify the name of the chart we want to deploy, which in this case is the aws-load-balancer-controller.

    • version: "<chart version>": We specify the version of the Helm chart we want to deploy. It's important to use a specific version for consistency and reliability across deployments.

    • fetchOpts: This nested object contains options for fetching the helm chart such as the repository URL.

    • values: This is an object that contains configuration values for the Helm chart. These values will override default values set in the Helm chart and customize the chart to your specific needs. Here, you must provide the cluster name, AWS region, and VPC ID that the ALB (Application Load Balancer) controller will manage.

    • namespace: "<namespace>": This field indicates the namespace in which to deploy the alb-controller. Namespaces help to organize resources within the Kubernetes cluster.

    • export const namespace: This line will export the namespace as a stack output, which can be useful for querying details about the deployment using the Pulumi CLI.

    After adjusting the placeholders with the appropriate values, you can run this program using the Pulumi CLI command pulumi up. This command will trigger the deployment process where Pulumi will plan and execute the deployment on your Kubernetes cluster.

    Keep in mind that to run this Pulumi program, you should have the necessary permissions to deploy resources on the target Kubernetes cluster and the Pulumi project should be properly configured with access to the cluster.