AWS Auto-Scaling Tutorial

Quick AWS Auto-Scaling Tutorial

AWS Auto Scaling is a service that automatically adjusts the number of compute resources in your application to maintain performance and control costs.

It monitors metrics such as CPU utilization, memory, or custom CloudWatch alarms and then adds or removes EC2 instances, containers, or other resources based on predefined scaling policies.

When demand increases, Auto Scaling launches new instances to handle the load, and when demand decreases, it terminates unneeded instances to save money. This ensures applications remain responsive and available without requiring constant manual intervention, while also optimizing resource usage across varying workloads.

If you’re interested in creating scaling groups and taking advantage of Amazon’s advanced autoscaling features, this quick AWS auto scaling tutorial will get you started and keep you going.

Cameron McKenzie is an AWS Certified AI Practitioner, Machine Learning Engineer, Solutions Architect and author of many popular books in the software development and Cloud Computing space. His growing YouTube channel training devs in Java, Spring, AI and ML has well over 30,000 subscribers.