Playbook: ML Engineers — Deployment, SRE & Reliability

ML Engineer Production Checklist: SRE & Reliability Patterns

A practical, actionable checklist and runbook collection for deploying, observing, scaling, and remediating machine learning systems. Focuses on ML-specific failure modes such as data and concept drift, model regressions, silent failures, and reproducibility gaps while reusing proven SRE practices.