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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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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

Getting Started with Edge Computing on AWS

In recent years, a new operating model known as “edge computing” has emerged as a key enabler of digital transformation strategies across a variety of industries and organization types 1. The exponential growth of data generated by an ever-increasing number of connected devices, coupled with an insatiable appetite for real-time processing and analysis, has driven new operational models in the cloud. An example of this is the Industrial Internet of Things (IIoT). Also known as Industry 4.0, IIoT involves a fusion of traditional industrial processes with advanced techniques such as Artificial Intelligence (AI), Machine Learning (ML), and real-time data analytics.

Due to this, “edge computing” has become a buzzword. Its meaning has been diluted through overuse by vendors who want in on the opportunities presented by this emerging model of...

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