Beyond Log Archaeology: Real-Time Observability for AI Agent Pipelines

As AI agent pipelines scale to production workloads, passive log-based troubleshooting becomes inadequate. Structured execution tracing with real-time alerts and per-agent metrics enables teams to detect failures proactively rather than reactively, critical for systems running 100+ times daily. This shift from archaeology to observability represents the operational maturity required for reliable agent-driven applications.