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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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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

End-to-End Edge Architecture

Often, we come across solution architectures that encompass every aspect of edge computing, from the enterprise all the way to the far-edge device. Chapters 3 and 4 laid the groundwork to discuss such end-to-end edge architectures, which include compute nodes of different sizes and capabilities, analytics done at various points, storage options of all the generated data, and, finally, the network. A solution architect has to take into account those macro components plus factor in types of devices and their form factors, the applications that get deployed on the edge devices, management and monitoring options, and security aspects.

You come across such end-to-end edge architectures in many industries, from automotive manufacturing to healthcare to logistics to large retail. What makes such architectures interesting is the kind of data that is generated by the edge devices and the scale of the entire solution.

In this chapter, we will explore some specific...

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