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Modern Distributed Tracing in .NET

Modern Distributed Tracing in .NET

By : Liudmila Molkova
5 (8)
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Modern Distributed Tracing in .NET

Modern Distributed Tracing in .NET

5 (8)
By: Liudmila Molkova

Overview of this book

As distributed systems become more complex and dynamic, their observability needs to grow to aid the development of holistic solutions for performance or usage analysis and debugging. Distributed tracing brings structure, correlation, causation, and consistency to your telemetry, thus allowing you to answer arbitrary questions about your system and creating a foundation for observability vendors to build visualizations and analytics. Modern Distributed Tracing in .NET is your comprehensive guide to observability that focuses on tracing and performance analysis using a combination of telemetry signals and diagnostic tools. You'll begin by learning how to instrument your apps automatically as well as manually in a vendor-neutral way. Next, you’ll explore how to produce useful traces and metrics for typical cloud patterns and get insights into your system and investigate functional, configurational, and performance issues. The book is filled with instrumentation examples that help you grasp how to enrich auto-generated telemetry or produce your own to get the level of detail your system needs, along with controlling your costs with sampling, aggregation, and verbosity. By the end of this book, you'll be ready to adopt and leverage tracing and other observability signals and tools and tailor them to your needs as your system evolves.
Table of Contents (23 chapters)
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1
Part 1: Introducing Distributed Tracing
6
Part 2: Instrumenting .NET Applications
11
Part 3: Observability for Common Cloud Scenarios
16
Part 4: Implementing Distributed Tracing in Your Organization

Summary

In this chapter, we talked about different ways to keep custom telemetry and attributes consistent across your system. We identified attribute properties to be documented and learned about attribute naming conventions.

Keeping telemetry consistent is a challenge. We explored how to make it easier by sharing common instrumentation code, including OpenTelemetry setup and utility methods that report attributes with the right names and types.

Finally, we learned about the OpenTelemetry semantic conventions schema and tooling, which may help you define, validate, and automate the documentation process for custom conventions.

Defining a common schema for telemetry during the early stages of a project is going to save your organization a lot of time down the road, and now you have the knowledge and tools to do it. In the next chapter, we’ll talk about brownfield systems, where new solutions coexist with legacy ones, and we’ll see how difficult it can be to align...

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