A Practical Introduction to Open Telemetry
summary
Practical demo of OpenTelemetry with Jaeger as the backend, Apache APISIX as API gateway, a Kotlin Spring Boot catalog, Python and Rust services, all run in Docker Compose and traced via the OpenTelemetry Java agent for auto-instrumentation that requires no code changes. Shows manual instrumentation with Spring annotations to capture product IDs, explains sampling tradeoffs, shows traces assembling across services, and confirms the demo works end-to-end with visible spans, timings and tags in Jaeger.
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chapters (11)
- 0:00Introduction and speaker background
- 1:24From monitoring to observability
- 8:34Three pillars of observability
- 11:30What is OpenTelemetry
- 15:48Auto vs manual instrumentation
- 19:20Demo setup and architecture
- 22:58Java auto instrumentation demo
- 29:46Tracing insights from the demo
- 37:27Sampling and performance impact
- 40:08Manual instrumentation details
- 44:58Key takeaways and conclusion
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