Book Image

Modern Distributed Tracing in .NET

By : Liudmila Molkova
Book Image

Modern Distributed Tracing in .NET

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)
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

Instrumenting database calls

Databases are used in almost every distributed application. Many databases provide advanced monitoring capabilities on the server side, which include database-specific metrics, logs, or expensive query detection and analysis tools. Client instrumentation complements it by providing observability on the client side of this communication, correlating database operations, and adding application-specific context.

Client instrumentation describes an application’s communication with a database ORM system, driver, or client library, which can be quite complicated performing load balancing or batching operations in the background.

In some cases, it could be possible to trace network-level communication between the client library and the database cluster. For example, if a database uses gRPC or HTTP protocols, the corresponding auto-instrumentation would capture transport-level spans. In this case, we would see transport-level spans as children of a...