LLM observability is not the same as application observability. This talk shows how to instrument production RAG and agentic systems using Datadog LLM Observability, Galileo, and LangSmith — what each tool catches, what they miss, and how to build behavioral regression testing that surfaces drift before users do.
Takeaways: A comparison framework for choosing an LLM observability stack. Instrumentation patterns that work across RAG and agentic workloads. Drift-detection signals that matter in production.

Preferred length: 30 min.
Audience: AI engineers, SREs, platform engineers.
Level: Intermediate.
First public delivery: 2026.