Observability 101 with Spring and Micrometer

on YouTube ↗38m

" summary

Shows a live Java microservice demo (Kafka-backed ice‑cream recommender calling a Weather service and ChatGPT) instrumented two ways: OpenTelemetry Java agent gives immediate traces but needs explicit context propagation for cross-language Kafka messages, and Micrometer Observation API inside Spring 6 / Spring Boot 3 creates business‑level spans plus Prometheus metrics. Traces go to Jaeger, metrics to Prometheus via an exposed /metrics endpoint, and Grafana visualizes them. Fiber Plane’s Autometrics library generates PromQL and lightweight call graphs from metrics — mostly useful but with some rough edges in distributed scenarios.

AI-written summary · about

" chapters (8)

1. 0:00Observability with Spring
2. 2:09Telemetry data types
3. 8:50Auto-instrumentation with OpenTelemetry
4. 14:55Manual instrumentation with Micrometer
5. 22:11Metrics to Prometheus
6. 27:56Auto vs manual trade-offs
7. 30:03Autometrics and tooling
8. 36:27Key takeaways

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