1. Deploy the voltha-go-controller helm chart on AWS EKS


    To deploy the voltha-go-controller helm chart on AWS EKS, we'll need to follow a sequence of steps:

    1. Create an EKS cluster: We'll start by provisioning an Amazon EKS cluster, which is a managed Kubernetes service that simplifies running Kubernetes on AWS without requiring the installation and operation of a separate Kubernetes control plane.

    2. Set up node groups for the EKS cluster: Node groups are collections of EC2 instances that serve as worker nodes for the EKS cluster. These nodes run the actual workloads.

    3. Deploy the helm chart to the EKS cluster: Helm charts are packages of pre-configured Kubernetes resources. We will use Pulumi's Kubernetes provider to deploy the voltha-go-controller chart to our EKS cluster.

    We'll use the @pulumi/eks library to create the cluster and node groups, as it provides a Pulumi component that encapsulates much of the complexity, and the @pulumi/kubernetes library to deploy the helm chart.

    Below is a detailed Pulumi TypeScript program that accomplishes the deployment of a voltha-go-controller helm chart on AWS EKS:

    import * as eks from "@pulumi/eks"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an AWS EKS cluster // Documentation: https://www.pulumi.com/registry/packages/eks/api-docs/cluster/ const cluster = new eks.Cluster("voltha-cluster", { version: "1.22", // specify the desired Kubernetes version, change as per your requirements instanceType: "t2.medium", // specify the desired EC2 instance type for the worker nodes desiredCapacity: 2, // desired number of worker nodes minSize: 1, // minimum number of worker nodes maxSize: 3, // maximum number of worker nodes }); // Step 2: (Optional) If your Helm chart depends on a custom IAM role, create it here // You might need a custom IAM role for certain Kubernetes workloads, such as for pods that need access to AWS resources // Check the documentation of the voltha-go-controller for any specific IAM permissions required // Step 3: Deploy the voltha-go-controller helm chart // Using the Helm Chart resource from the Pulumi Kubernetes provider // Documentation: https://www.pulumi.com/registry/packages/kubernetes/api-docs/helm.sh/v3/chart/ const volthaChart = new k8s.helm.v3.Chart("voltha-go-controller", { chart: "voltha-go-controller", version: "1.0.0", // use the appropriate chart version fetchOpts: { repo: "http://chart-repository-url/", // specify the helm chart repository URL }, namespace: "default", // specify the namespace you want to deploy into, create if not exists }, { provider: cluster.provider }); // Export the cluster's kubeconfig export const kubeConfig = cluster.kubeconfig; // Optionally, you can export other outputs such as cluster endpoint and a Helm chart status export const clusterEndpoint = cluster.core.endpoint; export const volthaChartStatus = volthaChart.status;

    This program first sets up an EKS cluster and then uses the Helm Chart resource to deploy the voltha-go-controller. You should replace "http://chart-repository-url/" with the actual Helm chart repository where the voltha-go-controller is hosted.

    You will need to have Pulumi, AWS CLI, and kubectl installed and set up on your system to use this script. Once they are set up and you have the appropriate permissions configured for AWS, you can run pulumi up to execute this Pulumi program.

    Ensure you review the voltha-go-controller helm chart for any prerequisites or dependencies that might be needed for a successful deployment, like specific IAM roles and permissions or additional Kubernetes configuration.