Today’s data engineering teams operate massive, highly distributed systems: data pipelines with tens of interdependent services, real-time ML inference platforms, and pipelines retraining business-critical models around the clock. Manual monitoring, traditional dashboarding, and rule-based alerts have become increasingly impractical. Telemetry grows exponentially, alert fatigue sets in, and systems fail in unexpected cascading ways. The costs […] The post Autonomous Observability: AI Agents That Debug AI appeared first on IEEE Computer Society.