Running LLMs in production is not like running a REST API. Here's how to instrument, trace, and monitor large language models, AI agents, and retrieval-augmented generation pipelines so you can actually debug them when they fail.
The circuit breaker prevents cascading failures, but without proper instrumentation you're blind to why it trips. Here's how to make it observable end-to-end.
Most teams instrument everything and understand nothing. A practical guide to designing spans that actually help you debug production issues.
Trace propagation through message queues and async workers looks straightforward until it isn't. Here's what actually breaks and how to fix it.
