Machine Learning Engineer
mediummachine-learning-engineer-feature-logging
Why do you log features and predictions in production, and what should you avoid logging?
Answer
Logging features and predictions enables debugging, drift monitoring, and offline evaluation when labels arrive.
Avoid logging sensitive PII and secrets. Use sampling, hashing, and access controls. Include model/version IDs and request correlation IDs so you can trace issues end-to-end.
Related Topics
MonitoringGovernanceMLOps