LLM observability: tracing, logging, and alerting for AI applications
LLM applications fail in ways that traditional APM tools do not capture. This article covers the full observability stack for AI systems — distributed tracing across multi-step pipelines, structured logging for prompt and response data, and alerting strategies that distinguish model quality regressions from infrastructure incidents
llmobservabilitytracingloggingmonitoring
16 July 2026