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Edge Computing with Amazon Web Services

You're reading from   Edge Computing with Amazon Web Services A practical guide to architecting secure edge cloud infrastructure with AWS

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835081082
Length 378 pages
Edition 1st Edition
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Author (1):
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Sean Howard Sean Howard
Author Profile Icon Sean Howard
Sean Howard
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Compute, Network, and Security Services at the Edge
2. Chapter 1: Getting Started with Edge Computing on AWS FREE CHAPTER 3. Chapter 2: Understanding Network and Security for Near-Edge Computing 4. Chapter 3: Understanding Network and Security for Far-Edge Computing 5. Part 2: Introducing AWS Edge Computing Services
6. Chapter 4: Addressing Disconnected Scenarios with AWS Snow Family 7. Chapter 5: Incorporating AWS Outposts into Your On-Premises Data Center 8. Chapter 6: Lowering First-Hop Latency with AWS Local Zones 9. Chapter 7: Using AWS Wavelength Zones on Public 5G Networks 10. Part 3: Building Distributed Edge Architectures with AWS Edge Computing Services
11. Chapter 8: Utilizing the Capabilities of the AWS Global Network at the Near Edge 12. Chapter 9: Architecting for Disconnected Edge Computing Scenarios 13. Chapter 10: Utilizing Public 5G Networks for Multi-Access Edge (MEC) Architectures 14. Chapter 11: Addressing the Requirements of Immersive Experiences with AWS 15. Part 4: Implementing Edge Computing Solutions via Hands-On Examples and More
16. Chapter 12: Configuring an AWS Snowcone Device to Be an IOT Gateway 17. Chapter 13: Deploying a Distributed Edge Computing Application 18. Chapter 14: Preparing for the Future of Edge Computing with AWS 19. Index 20. Other Books You May Enjoy

Preface

During the last few decades, computing models have fluctuated between drives toward centralization and distribution. At first, all compute horsepower was centralized on a mainframe, user terminals had no ability to operate independently, and networking was very simple. Then, client-server architectures took over, and corporate data centers were filled with racks full of servers that weren’t much different than the clients they served. Next, those servers were virtualized to improve utilization and manageability. Finally, the bulk of those VMs were centralized in the cloud for similar reasons. Now, we are facing demand for a new hybrid model of cloud operation – distributed edge computing, sometimes known as Industry 4.0 or hybrid edge.

This shift is driven by the incredible growth in the number of networked devices, the amount of data they produce, and advances in our ability to process this data. A new hybrid edge computing model has emerged. This book aims to demystify this emerging computing model, particularly through the lens of architecting distributed edge applications in the Amazon Web Services (AWS) cloud.

Distributed edge computing allows us to process data and make decisions closer to its source. This approach reduces response time, lowers cost, and supports new use cases. AWS, with its world-class cloud and history of innovation, is uniquely positioned to help you capitalize on the strengths of centralization and distribution.

AWS services facilitate the deployment, management, and hosting of application components wherever they are needed. The AWS strategy is about reimagining what computing can look like when it is not constrained by physical location.

Throughout this book, we will explore offerings such as AWS Outposts, AWS Snow Family, AWS Wavelength, AWS Local Zones, AWS IoT Greengrass, and Amazon CloudFront. Whether it’s processing data on a remote oil rig, processing and distributing live video, supporting the latency requirements of augmented reality, or running a full-scale data center in a disconnected environment, AWS has a solution.

After covering the what and why of distributed edge computing, this book explains the how – with hands-on exercises and an example of Infrastructure-as-Code (IaC) that you can use as a starting point for your own applications.

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