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

Summary


Deploying tracing instrumentation and infrastructure in large organizations is a challenging task, given the variety of technologies and frameworks usually present in mature companies, whether through acquisitions or through build fast, use whichever tools you want policies. Even with good practices around standardization and consolidated infrastructure, the sheer number of different business problems that engineers need to solve dictates a wide variety of tools, from various databases to numerous machine learning frameworks. The industry has not reached the point where all these tools are designed with support for distributed tracing and we can just plug a tracer, and start collecting consistent tracing data across the whole ecosystem. If you find yourself in such an organization, it can take many months or even years to gain high levels of adoption.

In this chapter, we discussed various techniques that facilitate that task by attacking it from different angles, through technical...