Optimize compute resources on Amazon ECS with Predictive Scaling

This blog is co-authored by Jooyoung Kim, Senior Containers Specialist Solutions Architect, Abhishek Nautiyal, Senior Product Manager, Amazon ECS and Ankur Sethi, Senior Product Manager, Amazon EC2.

Introduction

Amazon Elastic Container Service (Amazon ECS) is an opinionated, easy-to-use container orchestration service with deep AWS integrations that streamlines the deployment and management of containerized applications at scale. A vital aspect of effective resource management within Amazon ECS is Service Auto Scaling. This feature allows users to automatically adjust the desired count of tasks in an Amazon ECS service, making sure that applications can efficiently meet fluctuating demands without manual intervention.

The Amazon ECS integration with Application Auto Scaling allows users to use target tracking or step scaling policies to automatically adjust the number of tasks of an Amazon ECS service based on an Amazon CloudWatch metric, such as average CPU usage, request count per …