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

OpenTracing


Before we jump into the exercises, let's talk about the OpenTracing project. In October 2015, Adrian Cole, the lead maintainer of Zipkin, organized and hosted a "Distributed Tracing and Zipkin Workshop" at the Pivotal office in San Francisco. The attendees were a mix of commercial tracing vendors, open source developers, and engineers from a number of companies who were in charge of building or deploying tracing infrastructure in their organizations.

A common theme in the hallway conversations was that the single largest obstacle to the wide adoption of tracing in large organizations was the lack of reusable instrumentation for a vast number of open source frameworks and libraries, due to the absence of standard APIs. It was forcing all vendors; open source tracing systems, like Zipkin; and the end users to implement instrumentation over and over for the same popular software and frameworks.

The group collaborated on the first version of a common instrumentation API, which eventually...