From Log Archaeology to Live Operations: Why AI Agent Systems Need Structured Monitoring

As AI agent systems scale to production—running 100+ times daily—traditional log-based monitoring becomes operationally impractical. Real-time structured traces with per-agent metrics and proactive alerting are becoming essential for managing complex agent workflows at scale. This shift reflects a broader challenge: observability practices designed for monolithic services don't translate to distributed, autonomous agent systems.