Logging

The process of capturing, recording, aggregating, and monitoring errors and exceptions generated by an AI system to support debugging, reliability, and operational visibility.

An observability technique that tracks requests as they flow across multiple distributed services to measure latency, diagnose failures, and analyze system behavior.

The process of gathering quantitative measurements from AI systems and applications to track performance, reliability, usage, and operational health.

The practice of monitoring, tracing, and analyzing AI systems to understand their behavior, performance, reliability, and operational health in production.