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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
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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

Grouping edge ADs

Components in an edge architecture are broadly grouped into four domains that map to deployment areas. This is where solution architects have to make architectural design decisions. Figure 2.4 shows the four component domains:

Figure 2.4 – The four decision points affecting edge architecture

Figure 2.4 – The four decision points affecting edge architecture

Each of these domains has its own nuances and is equally important. And there are sub-domains within them, as shown in Table 2.3:

Component area

Description and sub-domains

Cloud and data

Cloud deployment model.

The nature of the business and compliance requirements will dictate whether to use a private, public, hybrid, or distributed cloud. Additionally, data storage decisions will also determine data store type and size.

Network

The most important component...

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