juniorMLOps
What is model monitoring in production?
Updated May 17, 2026
Short answer
Model monitoring tracks performance, drift, and system health in production.
Deep explanation
It includes logging predictions, tracking latency, and detecting data drift. Monitoring ensures models remain accurate over time.
Real-world example
Detecting decline in spam filter accuracy after new email patterns emerge.
Common mistakes
- Only monitoring system metrics and ignoring model metrics.
Follow-up questions
- What is data drift?
- What tools help monitoring?