Closing
summary
Panelists summarize tracing research, name X-Trace, Spectroscope and Dapper, and argue lack of real-world datasets blocks progress; they propose opentraces.org as a repository of anonymized traces but note Netflix de-anonymization risks and legal hurdles. Publication struggles include Dapper rejected for scientific merit despite Google-scale results. Practical paths: industry-hosted internships, in‑house experiments, and non-disruptive runtime instrumentation; a container-level recorder shows about 5% overhead in one prototype.
AI-written summary · about
chapters (18)
- 0:00Intro
- 1:23Asking Questions
- 2:29Show of Hands
- 3:32Introductions
- 5:27Academic work
- 9:21Challenges
- 12:04Open Traces
- 12:58Pivot Tracing
- 14:21Scientific Contributions
- 15:27Data
- 16:56Internships
- 18:00Results
- 18:29Communication
- 19:08Partnership
- 20:19Metrics
- 21:50Time Travel Debugging
- 25:35Application of Tracing
- 26:39Conclusion
related talks
33mOpenTracing and Containers: Depth, Breadth, and the Future of Tracing
19mKeynote: OpenTracing and Containers: Depth, Breadth, and the Future of Tracing - Ben Sigelman
36mA Survey of the OSS Tracing Ecosystem - Ben Sigelman & Ted Young, LightStep
16mPragmatic execution tracing
37mObservability, Distributed Tracing & the Complex World
42mFounder/CTO Perspectives: The Future of Distributed Tracing
38mOpenTracing Project Intro
24mDistributed Tracing : New DevOps Foundation.
