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

Summary


Service meshes are a powerful platform for adding observability features to distributed, microservices-based applications. Without any changes to the application, they produce a rich set of metrics and logs that can be used to monitor and troubleshoot the application. Service meshes can also generate distributed traces, provided that the application is white-box instrumented to propagate the context, either by passing the headers only, or through normal tracing instrumentation.

In this chapter, we have discussed the pros and cons of both approaches and showed examples of the traces that can be obtained with each approach. The sidecar proxies comprise the data plane of the service mesh, and their intimate knowledge of inter-service communications allows for the generation of detailed and up-to-date service graphs. By combining the OpenTracing baggage (distributed context propagation facility) with routing rules in the service mesh, we can perform targeted, request-scoped routing decisions...