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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

Monitoring with runtime counters

So, we have correlated logs from the platform and services with which we can debug issues. But what about system health and performance? .NET and ASP.NET Core expose event counters that can give some insights into the overall system state.

We can collect counters with OpenTelemetry without running and managing dotnet-monitor. But if your metrics pipeline is broken (or if you don’t have one yet), you can attach dotnet-monitor to your process for ad hoc analysis.

dotnet-monitor listens to EventCounters reported by the .NET runtime and returns them on an HTTP endpoint in Prometheus exposition format.

Note

Prometheus is a metrics platform that scrapes and stores metrics. It supports multidimensional data and allows us to slice, dice, filter, and calculate derived metrics using PromQL.

We’re going to run our service as a set of Docker containers with dotnet-monitor running as a sidecar for the frontend and storage, and configure...

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