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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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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

Observability, security, and capacity of Wi-Fi versus 5G

When considering general-purpose wireless technologies for a new architecture, the decision is typically 802.11x-based Wi-Fi or 5G. When both are available, which one makes the most sense is usually driven by the observability, security, and capacity needs of the application in question.

Observability

Wi-Fi networks, typically deployed in confined areas such as homes or offices, face challenges related to interference, especially in densely populated environments. Observability can be hindered due to overlapping channels, signal interference from physical obstacles, and the presence of multiple devices competing for access. Tools for Wi-Fi observability, such as network analyzers, provide insights into network health but are expensive, and the onus often lies with local administrators to monitor and maintain optimal performance.

These tools were developed in response to needs in the field, in most cases long after the...

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