Modern AI systems deployed in production remain fundamentally opaque to the engineers who operate them. While OpenTelemetry has emerged as the de facto standard for distributed systems observability, its extension to AI and large language model (LLM) workloads exposes critical gaps: latency traces do not capture hallucination rates, infrastructure metrics do not surface semantic drift, and no v...
Observability for AI Systems: Why OpenTelemetry Is Not Enough and What the Community Needs
Technical Research