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

References


  1. Martin Fowler, James Lewis. Microservices: a definition of this new architectural term: https://www.martinfowler.com/articles/microservices.html.

  2. Cloud Native Computing Foundation (CNCF) Charter: https://github.com/cncf/foundation/blob/master/charter.md.

  3. CNCF projects: https://www.cncf.io/projects/.

  4. Bryan Cantrill. Visualizing Distributed Systems with Statemaps. Observability Practitioners Summit at KubeCon/CloudNativeCon NA 2018, December 10: https://sched.co/HfG2.

  5. Vijay Gill. The Only Good Reason to Adopt Microservices: https://lightstep.com/blog/the-only-good-reason-to-adopt-microservices/.

  6. Global Microservices Trends Report: https://go.lightstep.com/global-microservices-trends-report-2018.

  7. Benjamin H. Sigelman, Luiz A. Barroso, Michael Burrows, Pat Stephenson, Manoj Plakal, Donald Beaver, Saul Jaspan, and Chandan Shanbhag. Dapper, a large-scale distributed system tracing infrastructure. Technical Report dapper-2010-1, Google, April 2010.

  8. Ben Sigelman. Keynote: OpenTracing and Containers: Depth, Breadth, and the Future of Tracing. KubeCon/CloudNativeCon North America, 2016, Seattle: https://sched.co/8fRU.

  9. Yuri Shkuro. Evolving Distributed Tracing at Uber Engineering. Uber Eng Blog, February 2, 2017: https://eng.uber.com/distributed-tracing/.

  10. The OpenTracing Project: http://opentracing.io/.

  11. The OpenTracing Contributions: https://github.com/opentracing-contrib/.

  12. Alibaba Cloud documentation. OpenTracing implementation of Jaeger: https://www.alibabacloud.com/help/doc-detail/68035.htm.

  13. Raja R. Sambasivan, Rodrigo Fonseca, Ilari Shafer, Gregory R. Ganger. So, You Want to Trace Your Distributed System? Key Design Insights from Years of Practical Experience. Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-14-102. April 2014.