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Mastering Distributed Tracing

Mastering Distributed Tracing

By : Cole, Yuri Shkuro
5 (3)
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Mastering Distributed Tracing

Mastering Distributed Tracing

5 (3)
By: Cole, 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 (8 chapters)
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Chapter 14. Under the Hood of a Distributed Tracing System

Under the Hood of a Distributed Tracing System

This last chapter is aimed at engineers or DevOps people tasked with deploying and operating a distributed tracing backend in their organization. Since my own experience is mostly related to Jaeger, I will be using it as an example. I will try to avoid focusing on very specific details of Jaeger configurations, since they may change after the book is published while the project continues evolving. Instead, I will use them to illustrate the general principles and the decisions you need to make when deploying a tracing platform. Many of the topics that we will discuss apply equally well to any other tracing backend, and even to using hosted solutions like AWS X-Ray and Google Stackdriver, or offerings from commercial vendors.

Why host your own?

As the creator and a maintainer of an open source tracing system, I would obviously have a conflict of interest if I were to advocate for everyone to run their own tracing backend...

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