Creating Your First Auto Scaling Group

Lab Steps

lock
Logging in to the Amazon Web Services Console
lock
Creating a Launch Template
lock
Creating an Auto Scaling Group
lock
Testing the ASG Behaviour During Failures

The hands-on lab is part of this learning path

Technical Essentials of AWS
course-steps
14
certification
1
lab-steps
11
description
2

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h 15m
Students2784
Ratings
4.9/5
starstarstarstarstar-half

Description

This Lab introduces the basics of Auto Scaling in Amazon Web Services (AWS). The AWS Auto Scaling service automatically adds or removes compute resources allocated for your cloud application, in response to changes in demand. For applications configured to run on a cloud infrastructure, scaling is an important part of cost control and resource management.

Scaling is the ability to increase or decrease the compute capacity of your application either by changing the number of servers (horizontal scaling) or by changing the size of the servers (vertical scaling).

Auto Scaling helps you maintain application availability and allows you to scale the Amazon EC2 capacity up or down automatically according to the defined conditions. You can use Auto Scaling to help ensure that you are running your desired number of Amazon EC2 instances. Auto Scaling can also automatically increase the number of Amazon EC2 instances during demand spikes to maintain performance and decrease capacity during lulls to reduce costs. Auto Scaling is well suited for applications that have stable demand patterns, or that experience hourly, daily, or weekly variability in usage. 

Learning Objectives

By the end of this Lab, you should be able to:

  • Understand user data
  • Describe and create a launch template

Prerequisites

This is a beginner level Lab, however, in order to follow the next steps you should be able to:

  • Describe and launch EC2 instances
  • Describe, create, and configure Security Groups

Updates 

August 19th, 2020 - Migrate from launch configurations to launch templates

June 27th, 2019 - Added a custom validation lab step to check the work performed in the lab

January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab

About the Author
Students15853
Labs28
Courses1
Learning paths1

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.