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

Tracing Quality Metrics


To finish this chapter, let's talk about a reporting system we implemented internally at Uber, called Tracing Quality Metrics. It is part of a larger reporting system that provides various metrics about the quality of engineering artifacts, with rollups from individual microservices to teams, to divisions, and up to all of engineering. The objective of this system is to help with keeping up and raising the overall quality of engineering across the company by tracking measurable indicators, such as code coverage; availability of integration, capacity, and chaos testing; efficiency; compliance; microservices metadata, such as who is on-call, and many others. The tracing quality of a service is one of the metrics tracked by that system, as shown in Figure 13.2.

Figure 13.2: Summary of trace quality metrics for a microservice, with current (left) and historical (right) levels

We developed the tracing quality report when we realized that having just a "yes or no" indicator...