This lab introduces the basics of Auto Scaling in Amazon Web Services. The Amazon Web Services (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 your 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 to applications that have stable demand patterns, or that experience hourly, daily, or weekly variability in usage.
In this lab, you will create an Auto Scaling Group and place it behind an Elastic Load Balancing (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 an ELB.
Upon completion of this Lab you will be able to:
Although this is a beginner level lab, you should be familiar with AWS basics including:
After completing the lab instructions the environment will look similar to:
Your first step to start the laboratory experience
Give an overview about the creation process of an Auto Scaling Group
Create a classic load balancer using AWS Elastic Load Balancing service
Create an Auto Scaling Launch Configuration for repeatable, consistent results
Create an Auto Scaling Group to utilize a Launch Configuration for a web cluster
End to end test of Auto Scaling group, Launch Configuration and Elastic Load Balancer