Distributed tracing for big systems
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The document discusses distributed tracing for large systems, emphasizing its importance for reliability, observability, and monitoring. It provides links to resources and tools like OpenTracing, TChannel, Finagle, and Jaeger for implementing distributed tracing and context propagation. Additionally, it mentions strategies for sampling and the need for client libraries to support key metrics and logging.
Distributed tracing for big systems
- 2. Distributed tracing for big systems Nikolay Stoitsev
- 5. Reliability
- 7. Monitoring
- 12. opentracing.io
- 13. opentracing.io
- 14. opentracing.io
- 17. Low overhead
- 19. Scalability
- 20. Store context in thread-local storage
- 21. Async callbacks
- 25. opentracing.io
- 26. opentracing.io
- 30. Defines the data model
- 31. Defines the OpenTracing API
- 32. Cool but how to start?
- 33. Step 0 TChannel & Hyperbahn https://github.com/uber/tchannel
- 37. Step 1
- 45. Client libraries
- 47. Missing key-value logging API
- 48. Missing “child of” and “follows from”
- 59. Thanks!