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Mastering Distributed Tracing

Mastering Distributed Tracing

By : Cole, Yuri Shkuro
5 (3)
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Mastering Distributed Tracing

Mastering Distributed Tracing

5 (3)
By: Cole, 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 (8 chapters)
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Chapter 11. Integration with Metrics and Logs

Integration with Metrics and Logs

In the previous chapter, we reviewed several techniques that rely on distributed context propagation, which often comes built in with the tracing libraries. The notion of a request context that travels along the requests in a distributed transaction is becoming increasingly important for monitoring distributed systems, not just by means of distributed tracing, but even with the more traditional monitoring tools such as metrics (or stats) and logs. By enriching metrics and logs with the metadata from request context, we can observe behavioral patterns in the applications that otherwise would be hard to notice just by looking at the aggregates. This is quickly becoming a new norm in the observability industry and is one of the reasons that projects such as OpenCensus come out with combined APIs for metrics, logs, and tracing, all of which are tightly linked with distributed context propagation.

In this chapter, we will look at many...

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