The document presents an overview of distributed tracing using OpenTracing and Jaeger, highlighting its significance in microservices architecture for monitoring performance, analyzing dependencies, and optimizing latency. Jaeger, a project originally developed at Uber, is noted for its compatibility with multiple programming languages and its ability to emit Prometheus metrics. Key terminology such as traces, spans, and baggage, as well as the concepts of observability through monitoring, logging, and tracing, are discussed.

1. Distributed tracing using
Open Tracing & Jaeger
Chandresh Pancholi

2. Co-ordinates
Linkedin : https://www.linkedin.com/in/chandresh-pancholi-467a8015/
Github: http://github.com/chandresh-pancholi?tab=repositories

3. Trend
MicroserviceMonolith

5. Future
Serverless

8. Distributed Tracing

9. Why Tracing?
● Distributed Context Processing
● Distributed transaction monitoring
● Root Cause Analysis
● Service dependency analysis
● Performance and latency optimization

11. Terminology
● Traces
● Span
● Tags
● Baggages

13. Jaeger
● A product built at Uber
● Inspired by Dapper from Google
● Donated to CNCF
● Supported libraries in Go, Java, Node.js, Python, C++, C#
● Accepts span in Zipkin format for backward compatibility
● Emit prometheus metrics

15. Context propagation

16. Observability
1. Monitoring
2. Logging
3. Tracing

17. OpenCensus
(Monitoring/Tracing)

18. Demo

19. Questions?