advanced~2h
Observability — Metrics & Tracing
Token usage, evaluator pass rates, tool-call latency — none of it is visible unless you deliberately make it so. This module wires Spring AI into the same Micrometer/Actuator stack you'd use for any Spring Boot service.
Learning objectives
- Beginner: Explain why AI-feature latency/cost/quality can't be assumed constant the way a typical CRUD endpoint's can.
- Intermediate: Enable Spring Boot Actuator metrics for an AI-calling endpoint and view them via Prometheus/Grafana.
- Advanced: Trace a full RAG request (embedding + retrieval + generation) as one span via OTLP/Jaeger to pinpoint where latency or cost is actually going.
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Observability — Metrics & Tracing