MLOps
Installation
SKILL.md
Quick Reference
| Topic | File | Key Trap |
|---|---|---|
| CI/CD and DAGs | pipelines.md |
Coupling training/inference deps |
| Model serving | serving.md |
Cold start with large models |
| Drift and alerts | monitoring.md |
Only technical metrics |
| Versioning | reproducibility.md |
Not versioning preprocessing |
| GPU infrastructure | gpu.md |
GPU request = full device |
Critical Traps
Training-Serving Skew:
- Preprocessing in notebook ≠ preprocessing in service → silent bugs
- Pandas in notebook → memory leaks in production (use native types)
- Feature store values at training time ≠ serving time without proper joins