Ready for the real environment experience?
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.
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
By the end of this Lab, you should be able to:
- Understand user data
- Describe and create a launch configuration
- Describe and create an Auto Scaling group
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
Eric Magalhães has a strong background as a Systems Engineer for both Windows and Linux systems and, currently, work as a DevOps Consultant for Embratel. Lazy by nature, he is passionate about automation and anything that can make his job painless, thus his interest in topics like coding, configuration management, containers, CI/CD and cloud computing went from a hobby to an obsession. Currently, he holds multiple AWS certifications and, as a DevOps Consultant, helps clients to understand and implement the DevOps culture in their environments, besides that, he play a key role in the company developing pieces of automation using tools such as Ansible, Chef, Packer, Jenkins and Docker.