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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 to measure

There are certain network-related metrics that help NetOps teams maintain the network uptime and then there are some infrastructure elements that need to be closely observed.

Real user monitoring

In the stadium scenario, we mentioned the NetOps team would monitor how spectators were interacting with the services. That would require real-time user monitoring (RUM) data as opposed to synthetic or historical data. Getting a real-time view of what users are experiencing online is critical because the NetOps team needs to analyze events as they are happening and proactively look into slow connections or fix any misconfigurations.

Monitoring software can use RUM data to make DNS routing and other network traffic-steering decisions. There is also intelligent traffic steering, which is usually implemented using the overlay network.

Additional information

Synthetic data is different from real-world data. It is annotated data created using computer simulations...

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