Machine Learning · Dec 5, 2024 · 1 min read
From Model Notebook to MLOps
What it takes to move a promising notebook model into a monitored, versioned, production service.
A strong notebook is a starting point — not a product.
Production checklist
- Reproducible training pipelines
- Feature consistency between train and serve
- Model registry and versioning
- Latency budgets and fallbacks
- Drift monitoring and retraining triggers
Collaboration
Data scientists, engineers, and product owners need a shared definition of success. Metrics should map to business decisions.