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
Other Books You May Enjoy
Leave a review - let other readers know what you think
15
Afterword
Index

Trace analysis


Once the trace records are collected and normalized by the tracing infrastructure, they can be used for analysis, using visualizations or data mining algorithms. We will cover some of the data mining techniques in Chapter 12, Gathering Insights with Data Mining.

Tracing system implementers are always looking for new creative visualizations of the data, and end users often build their own views based on specific features they are looking for. Some of the most popular and easy-to-implement views include Gantt charts, service graphs, and request flow graphs.

We have seen examples of Gantt charts in this chapter. Gantt charts are mostly used to visualize individual traces. The x axis shows relative time, usually from the beginning of the request, and the y axis represents different layers and components of the architecture participating in the execution of the request. Gantt charts are good for analyzing the latency of the requests, as they easily show which spans in the trace take...