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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 this book covers

Chapter 1, Our View of Edge Computing, establishes a shared vernacular, describes infrastructure scenarios, and relies on industry conventions to ensure standard and widely compatible solutions.

Chapter 2, Edge Architectural Components, covers four roles of components in edge architectures, benefits and limitations, and functional versus non-functional requirements.

Chapter 3, Core Edge Architecture, covers managing and enabling sensors and smart devices using the Edge Device Hub pattern.

Chapter 4, Network Edge Architecture, explores transitioning to software-defined network architectures to enable digital service provider scenarios.

Chapter 5, End-to-End Edge Architecture, brings together devices, macro components, and applications to solve industry-specific challenges.

Chapter 6, Data Has Weight and Inertia, explores the data-related considerations that edge-native solutions will need to address.

Chapter 7, Automate to Achieve Scale, includes approaches that have worked at the extreme scales that edge deployments may encounter.

Chapter 8, Monitoring and Observability, covers how to ensure that a deployed edge solution is performing as designed, despite unique challenges.

Chapter 9, Connect Judiciously but Thoughtlessly, covers three connection scenarios and how application-centered approaches can address them.

Chapter 10, Open Source Software Can Benefit You, explores strategies for ensuring that open source dependencies are used optimally, and when and how an enterprise should open source their solutions.

Chapter 11, Recommendations and Best Practices, takes a wider view of the problem space and how thinking deeply about what you are doing and why can yield some surprising insights.

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