Introduction

In today’s digital landscape, where speed and efficiency are critical, managing data in real time has become a key priority for businesses. Traditional cloud infrastructures often require data to travel significant distances to reach centralized data centers, which can introduce delays and impact performance. This is where AWS edge services come into play. By bringing data processing, analysis, and storage closer to your endpoints, AWS edge services enable you to deploy APIs and tools in locations outside of traditional AWS data centers.

With this approach, you can build high-performance applications that process and store data near the source, significantly reducing latency and improving responsiveness. Whether you’re handling large-scale IoT operations, content delivery, or running machine learning models at the edge, this localized data management enables real-time, intelligent decision-making with ultra-low latency. AWS edge services allow developers to tap into the power of the cloud while operating closer to the physical world, unlocking new possibilities for innovation and performance in various industries.

Overview of Edge Computing Services in AWS 

AWS edge compute services is currently distributed in following service areas:

• Infrastructure 
• Storage 
• Content Delivery 
• Rugged & Disconnected Edge
• Robotics 
• Machine Learning 
• IoT

The following diagram highlights the various tools and services under each category as of now: