Glossary

Metrics Collection

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

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Related terms

Model Monitoring

The practice of continuously tracking an AI model's performance, behavior, usage, and operational health in production.

Logging

The practice of recording application, model, and system events to support debugging, monitoring, troubleshooting, and operational analysis.

AI Observability

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

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