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Edge Computing with Amazon Web Services

Edge Computing with Amazon Web Services

By : Sean Howard
5 (10)
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Edge Computing with Amazon Web Services

Edge Computing with Amazon Web Services

5 (10)
By: Sean Howard

Overview of this book

The surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures. This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You’ll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you’ll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you’ll delve into essential security and operational considerations to maximize the value delivered by AWS services. By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services.
Table of Contents (21 chapters)
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Free Chapter
1
Part 1: Compute, Network, and Security Services at the Edge
5
Part 2: Introducing AWS Edge Computing Services
10
Part 3: Building Distributed Edge Architectures with AWS Edge Computing Services
15
Part 4: Implementing Edge Computing Solutions via Hands-On Examples and More

Overview of architecting 5G-based MEC solutions

Imagine you are an architect tasked with designing a city-wide public safety solution for a major metropolitan area. You need to install Point-Tilt-Zoom (PTZ) cameras in strategic locations around the city. They must be positioned in such a way as to be able to target and track individual vehicles, pedestrians, or even drones in response to inferences from an ML model running in the cloud. Each camera module is capable of streaming multiple types of high-definition (8K) video simultaneously over RTSP – including optical, infrared, and LiDAR. Separately, they each have a command-and-control (C2) channel that must always function:

Figure 10.1 – Ruggedized PTZ multispectral 5G-capable camera system

Figure 10.1 – Ruggedized PTZ multispectral 5G-capable camera system

As you walk around the city, identifying the best places to mount these systems, you realize getting high-speed internet access to them is going to be a challenge. One might go on the same pole as a...

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