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

Architecture and deployment modes


Many tracing backends, including the Jaeger backend that we will use as an example, are themselves implemented as microservices-based distributed systems that consist of multiple horizontally-scalable components. Some of those components are optional, which allows different deployment configurations depending on the needs of your architecture.

Basic architecture: agent + collector + query service

Figure 14.1 shows the basic architecture of Jaeger that we were running at Uber in 2017. It includes the main components that are common to many tracing backends.

Figure 14.1: Basic architecture of Jaeger backend deployment

Client

The client library, or the tracing library, or the tracer, is the code that runs inside the business application. For example, the application that is instrumented with OpenTracing would be making calls to the OpenTracing API, and the Jaeger client library that implements that API would be using those calls to extract tracing data from the...