The hands-on lab is part of this learning path
Ready for the real environment experience?
In this lab, you will learn how EC2 spot instances can be used in AWS. You will see that spot instances can be used in much the same way as regular, on-demand instances except with a different pricing model built around them allowing you to save a substantial amount. You set a maximum price that you are willing to pay for an instance, and if the spot market price rises to your maximum, your instance is subject to termination. Despite this complication, you will see that there are easy ways to manage this situation.
You should be familiar with:
- Creating on-demand Amazon EC2 instances
- Using EBS volumes with your instances
- Working with autoscaling groups at a basic level
Upon completion of this Lab, you will be able to:
- Create EC2 instances by placing spot requests
- Handle instance interruptions
- Auto-scale a spot fleet
- Get advice from Spot Bid Advisor
Before completing the Lab instructions, the environment will look as follows:
After completing the Lab instructions, the environment should look similar to:
May 17th, 2020 - Updated all screenshots and instructions to match the latest AWS Console experience
May 15th, 2020 - Updated instructions to avoid an issue causing spot instance requests in us-west-2b to fail
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
January 9th, 2019 - Content refresh to discuss new topics related to spot instances and to match the new AWS Console experience
November 8th, 2018 - Updated instructions and screenshots to match the new AWS UI
About the Author
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.