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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

Edge use cases and patterns

Edge use cases depend a lot on the industry that is targeted. So do the related applications that get deployed on the devices that generate or collect data. While the software stack might be similar, the form factor of the devices in play will determine the size and complexity of the applications. The applications will depend on the use cases relevant to a particular industry. For example, a camera might be trained differently when acting as a security camera than one looking for welding defects on a manufacturing shop floor. The devices are similar, in that they are both cameras, but the application or workload running on them is different depending on their function.

Edge workloads are often used to describe any edge-hosted service. Any software application that has utility when running in an edge node can be described as an edge workload. Such functionality is usually delivered as microservices running in Docker containers or related container technology...

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