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Modern Distributed Tracing in .NET

Modern Distributed Tracing in .NET

By : Liudmila Molkova
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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

Propagating context

The first goal for context propagation is to enable end-to-end distributed tracing for new services, even when they communicate through legacy ones, as shown in Figure 15.2. As a stretch goal, we can also try to correlate telemetry from new and legacy parts.

The solution that would work in most cases involves enabling context propagation in legacy services. Depending on how legacy services are implemented, this change can be significant and risky. So, before we do it, let’s check whether we can avoid it.

Leveraging existing correlation formats

Our legacy services might already propagate context, just in a different format. One popular approach is to pass a correlation ID that serves the same purpose as a trace ID in the W3C Trace Context standard, identifying a logical end-to-end operation.

While correlation ID is not compatible with trace context out of the box, it may be possible to translate one to another.

In a simple case, correlation...

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