hands-on lab

Amazon EKS - Install the AWS Load Balancer Controller and Create an Ingress Resource (ALB)

Intermediate

Up to 1h 30m

228

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Lab description

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 the lab-provided EKS cluster using Helm. You'll then deploy a sample web app and configure external public access to it via an Ingress 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 sample web app and expose it publicly using an Ingress 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

December 5th, 2023 - Updated Kubernetes version

June 22nd, 2023 - Resolved intermittent deployment issue

March 6th, 2023 - Updated to K8s 1.24

Environment before

Environment after

About the author

Jeremy Cook, opens in a new tab

Content Lead Architect

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Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

Covered topics

Lab steps

Logging In to the Amazon Web Services Console