Book Image

Mastering Distributed Tracing

By : Yuri Shkuro
Book Image

Mastering Distributed Tracing

By: Yuri Shkuro

Overview of this book

Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems.
Table of Contents (21 chapters)
Mastering Distributed Tracing
Contributors
Preface
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15
Afterword
Index

Chapter 5. Instrumentation of Asynchronous Applications

In Chapter 4, Instrumentation Basics with OpenTracing, we reviewed the basics of instrumenting a microservices-based application for distributed tracing using the OpenTracing APIs. If you went through all the exercises, you deserve a medal! The Hello application was intentionally very simple and involved only blocking synchronous calls between microservices.

In this chapter, we will attempt to instrument an online chat application, Tracing Talk, which uses asynchronous messaging-based interactions between microservices built on top of Apache Kafka. We will see how metadata context can be passed through messaging systems using the same OpenTracing primitives we already discussed, and how causal relationships between spans can be modeled differently than in the plain RPC scenarios.

We will continue using the OpenTracing API, even though the same instrumentation principles would apply to other tracing APIs, such as Zipkin's Brave and OpenCensus...