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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

Data Has Weight and Inertia

Whether audio, visual, sensory, or telemetry, edge computing is all about data. Whether the data is processed or otherwise transformed at the source where it is generated, stored for later analysis, or used to build models in the future, data is the lifeblood of edge computing. Since data is so valuable, organizations need to store and analyze it before determining relevancy. However, it needs to be done both securely and while actively protecting it in order to meet regulatory compliance regulations. This chapter will discuss considerations about data in its various states. Decisions you make about data will affect where data is primarily stored (data at rest) and how it is stored. Thus, how it is accessed or transferred (data in motion) becomes a secondary consideration, and tracking how it is used and transformed (data in processing) is critical to having confidence in its trustworthiness.

In this chapter, we will cover the following main topics:

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