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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
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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

Patterns and anti-patterns

This section will review recommended architectural patterns you should try to follow. It also touches on anti-patterns to outline some key pitfalls to avoid when architecting a distributed edge application on AWS.

Leveraging cloud-native services

It would certainly be possible to develop a globally distributed Industry 4.0 application without using any cloud-native services. Some customers are inclined to do this because they wish to reserve the option of moving their application to another cloud service provider or to an on-premise data center. The trouble with this approach is that you are forced to use only least-common-denominator features that are common across all CSPs or private clouds. In the context of AWS, this means you can only use standard S3 buckets, a limited set of EC2 instance types, and only the most basic features of supporting functions such as VPC. This has the effect of making your task of application design far more complex.

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