The AWS Load Balancer Controller is used to help manage and control the provisioning of ALBs (Ingress resources) and NLBs (Service resources - type LoadBalancer).

In this Lab scenario, you'll learn how to deploy the AWS Load Balancer Controller into a lab provided EKS cluster using Helm. You'll then deploy a sample TCP Echo App and configure external public access to it via a Service (type LoadBalancer) cluster resource.

Learning Objectives

Upon completion of this Lab, you will be able to:

• Deploy and configure the AWS Load Balancer Controller into an EKS cluster
• Deploy a TCP Echo App and expose it publicly using a Service (type LoadBalancer) resource

Intended Audience

This lab is intended for:

• Kubernetes practitioners
• DevOps Engineers
• SREs

Lab Prerequisites

You should be familiar with:

• Basic Linux command line administration
• Basic Kubernetes and Container-based concepts

Consider taking the following courseware in preparation for this lab:

• Introduction to Kubernetes 

Lab Environment

This Lab will start with the following AWS resources provisioned automatically for you:

• 1 x EKS cluster - Cluster-1 - provides a fully functional Kubernetes cluster 
  • 1 x NodeGroup
    • 1 x EC2 Worker Node
• 2 x EC2 instances
  • eks.launch.instance - used to launch the EKS cluster
  • cloudacademylabs - used to provide an SSH based terminal

Updates

March 6th, 2023 - Updated to K8s 1.24