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

Span tags versus logs


Let's expand a couple more spans.

Figure 2.10: Two more spans expanded to show a variety of tags and logs. Each span also contains a section called "Process" that also looks like a collection of tags. The process tags describe the application that was producing the tracing record, rather than an individual span.

In the customer span, we can see a tag http.url that shows that the request at the /customer endpoint had a parameter customer=123, as well as two logs narrating the execution during that span. In the mysql span, we see an sql.query tag showing the exact SQL query that was executed: SELECT * FROM customer WHERE customer_id=123, and a log about acquiring some lock.

What is the difference between a span tag and a span log? They are both annotating the span with some contextual information. Tags typically apply to the whole span, while logs represent some events that happened during the span execution. A log always has a timestamp that falls within the span's start...