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 9. Turning the Lights On

In the second part of the book, we reviewed various techniques for instrumenting our applications for end-to-end tracing and getting the tracing data out. This next part is all about what we can do with that data, as well as the tracing infrastructure in general.

We have already seen some glimpses of what is possible in Chapter 2, Take Tracing for a HotROD Ride, when we ran the HotROD demo application. In this chapter, we will do a more thorough review of the benefits provided by end-to-end tracing, and ways of using the tracing data to help engineers with day-to-day tasks. Some of the ideas presented here are theoretical, meaning that while they are feasible, not all of them are implemented in the existing tracing systems because there is so much to do when you start exploring the possibilities of end-to-end tracing. I hope that you can use some of these ideas as inspiration for what to do with the data generated by your own tracing infrastructure.