Working with Amazon EC2 Auto Scaling Groups and Classic ELB

Lab Steps

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Logging in to the Amazon Web Services Console
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Auto Scaling Overview
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Creating a Load Balancer using ELB
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Creating a Launch Template
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Creating an Auto Scaling Group
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Testing the Auto Scaling Group

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h 15m
Students164
Ratings
4.6/5
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Description

Auto Scaling in Amazon Web Services (AWS) automatically adds or removes compute resources running your application in the cloud-based on conditions you configure. For applications configured to run on a cloud infrastructure, scaling is an important part of cost control and resource management.

You will create an Auto Scaling Group and place its instances behind a Classic Elastic Load Balancer (ELB). Don't worry if you don't fully understand all the components yet. Each one will be discussed in greater detail as you create and configure them. At the end of this lab, you will have an Auto Scaling Group with several web server instances behind a Classic ELB. If you are interested in using the newer Network Load Balancer, try this other Lab on Auto Scaling and load balancing.

Lab Objectives

Upon completion of this Lab you will be able to:

  • Create and configure Auto Scaling groups, launch templates, and  Classic Elastic Load Balancers
  • Utilize Auto Scaling to ensure the availability of steady-state resources

Lab Prerequisites

You should be familiar with:

  • EC2 Basics including launching instances and connecting to them using SSH
  • Working with the AWS Console
  • Conceptual understanding of CloudWatch, and EC2 Security Groups (firewall rules)

Lab Environment

After completing the Lab instructions, the environment will look similar to:

 

Updates

August 18th, 2020 - Updated all instructions and screenshots

March 11th, 2020 - Updated the validation checks inserting them in the correct lab steps instead of the last one

 

About the Author

Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes. He holds the AWS Certified Developer - Associate certification.