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Modern Distributed Tracing in .NET

You're reading from   Modern Distributed Tracing in .NET A practical guide to observability and performance analysis for microservices

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781837636136
Length 336 pages
Edition 1st Edition
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Author (1):
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Liudmila Molkova Liudmila Molkova
Author Profile Icon Liudmila Molkova
Liudmila Molkova
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Introducing Distributed Tracing
2. Chapter 1: Observability Needs of Modern Applications FREE CHAPTER 3. Chapter 2: Native Monitoring in .NET 4. Chapter 3: The .NET Observability Ecosystem 5. Chapter 4: Low-Level Performance Analysis with Diagnostic Tools 6. Part 2: Instrumenting .NET Applications
7. Chapter 5: Configuration and Control Plane 8. Chapter 6: Tracing Your Code 9. Chapter 7: Adding Custom Metrics 10. Chapter 8: Writing Structured and Correlated Logs 11. Part 3: Observability for Common Cloud Scenarios
12. Chapter 9: Best Practices 13. Chapter 10: Tracing Network Calls 14. Chapter 11: Instrumenting Messaging Scenarios 15. Chapter 12: Instrumenting Database Calls 16. Part 4: Implementing Distributed Tracing in Your Organization
17. Chapter 13: Driving Change 18. Chapter 14: Creating Your Own Conventions 19. Chapter 15: Instrumenting Brownfield Applications 20. Assessments 21. Index 22. Other Books You May Enjoy

Using counters

Counter and UpDownCounter represent additive values – values that it makes sense to sum up. For example, the sum of incoming request counts with different HTTP methods makes sense, but the sum of CPU utilization across different cores does not.

On the instrumentation side, the only difference between Counter and UpDownCounter is that the former increases monotonically (or stays the same), while the latter can decrease. For example, the number of open and closed connections should be represented by Counter, while the number of active connections should be represented by UpDownCounter.

Both kinds of counters can be synchronous and asynchronous:

  • Synchronous counters report a delta of value when change happens. For example, once we successfully initiate a new connection, we can increment counters for both open and active connections. Once we’ve finished terminating a connection, we decrement the number of active connections only.
  • Asynchronous...
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