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Edge Computing Patterns for Solution Architects

You're reading from   Edge Computing Patterns for Solution Architects Learn methods and principles of resilient distributed application architectures from hybrid cloud to far edge

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805124061
Length 214 pages
Edition 1st Edition
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Authors (2):
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Ashok Iyengar Ashok Iyengar
Author Profile Icon Ashok Iyengar
Ashok Iyengar
Joseph Pearson Joseph Pearson
Author Profile Icon Joseph Pearson
Joseph Pearson
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1:Overview of Edge Computing as a Problem Space FREE CHAPTER
2. Chapter 1: Our View of Edge Computing 3. Chapter 2: Edge Architectural Components 4. Part 2: Solution Architecture Archetypes in Context
5. Chapter 3: Core Edge Architecture 6. Chapter 4: Network Edge Architecture 7. Chapter 5: End-to-End Edge Architecture 8. Part 3: Related Considerations and Concluding Thoughts
9. Chapter 6: Data Has Weight and Inertia 10. Chapter 7: Automate to Achieve Scale 11. Chapter 8: Monitoring and Observability 12. Chapter 9: Connect Judiciously but Thoughtlessly 13. Chapter 10: Open Source Software Can Benefit You 14. Chapter 11: Recommendations and Best Practices 15. Index 16. Other Books You May Enjoy

What is legacy IoT architecture?

In this section, we will cover legacy IoT architectures: their purpose, promise, and fundamental drawbacks. You will learn why IoT has provided value to business executives, where it was heading as a natural technological progression before being superseded by edge computing, and reasons why it may not have been adopted as widely as initially anticipated.

A bit of history

Large commercial IoT networks became a viable solution for business with the convergence of cheap, low-power embedded processors and inexpensive, ubiquitous cellular data transmission. At that point, it became less expensive to transmit data from sensors than to have humans visit the sensors and record the data manually. However, the data was still tabulated and stored in central locations – a data center (DC) or, eventually, the cloud.

That approach and those needs formed the basis for initial IoT architectures, which connected devices over transmission networks directly...

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