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Understand how to apply distributed tracing to microservices-based architectures

Key Features

A thorough conceptual introduction to distributed tracing

An exploration of the most important open standards in the space

A how-to guide for code instrumentation and operating a tracing infrastructure

Book Description

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.

What you will learn

How to get started with using a distributed tracing system

How to get the most value out of end-to-end tracing

Learn about open standards in the space

Learn about code instrumentation and operating a tracing infrastructure

Learn where distributed tracing fits into microservices as a core function

Who this book is for

Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.

Yuri Shkuro is a software engineer at Uber Technologies, working on distributed tracing, observability, reliability, and performance. He is the technical lead for Uber's tracing team. Before Uber, Yuri spent 15 years on Wall Street, building trading and risk management systems for derivatives at top investment banks, Goldman Sachs,JPMorgan Chase, and Morgan Stanley.

Yuri's open source credentials include being a co-founder of the OpenTracing project,and the creator and the tech lead of Jaeger, a distributed tracing platform developedat Uber. Both projects are incubating at the Cloud Native Computing Foundation.Yuri serves as an invited expert on the W3C Distributed Tracing working group.

Dr. Yuri Shkuro holds a Ph.D. in Computer Science from University of Maryland,College Park, and a Master's degree in Computer Engineering from MEPhI(Moscow Engineering & Physics Institute), one of Russia's top three universities.He is the author of many academic papers in the area of machine learning and neural networks; his papers have been cited in over 130 other publications.

Outside of his academic and professional career, Yuri helped edit and produce several animated shorts directed by Lev Polyakov, including Only Love (2008), which screened at over 30 film festivals and won several awards, Piper the Goat and the Peace Pipe (2005), a winner at the Ottawa International Animation Festival, and others.

able of Contents
Why Distributed Tracing
Take Tracing for a HotROD ride
Distributed Tracing Fundamentals
Instrumentation Basics with OpenTracing
Instrumentation of Asynchronous Applications
Tracing Standards and Ecosystem
Tracing with Service Mesh
All About Sampling
Turning the Lights On
Distributed Context Propagation
Integration with Metrics and Logs
Gathering Insights with Data Mining
Implementing Tracing in Large Organizations
Under the Hood of a Distributed Tracing System
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