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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

Chapter 11 – Instrumenting Messaging Scenarios

  1. The most difficult part is finding operations that are important to measure. In our example, it’s the time between when the meme is uploaded and when it became available for other users.

We can emit a couple of events to capture these two timestamps along with the meme identifier and any other context. Then, we can find the delta by joining events on the meme identifier.

Another option is to record the timestamp of when the meme was published along with the meme metadata and pass it around our system. Then, we can report delta as a metric or an event.

  1. When using batching, it’s usually interesting to know the number of messages in a batch and the payload size. By tuning these numbers, we can reduce network overhead, so having them readily available in the telemetry can be very useful.

The key question is what instrument to use: a counter or histogram (a gauge would not fit here).

We...

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