Production Monitoring: Drift, Regression & Alerting for Models (opens in new tab)

What to Instrument: Metrics and Telemetry That Predict Real Business Impact Detecting Data and Label Drift: Methods, Trade-offs, and Pragmatic Thresholds Catching Regressions Early: Continuous Evaluation, Shadowing and Canarying SLOs, Alerts, and Runbooks: Making Alerts Actionable and Predictable Automated Remediation and Safe Rollback: Patterns, Tools, and Guardrails Practical Application: Checklists, Runbooks, and Example Pipelines Models in production erode—not explode. Small, persistent s...