MLOps in Production: A Practical Guide to Scaling AI Systems
An end-to-end overview of MLOps: versioning, deployment, monitoring, and continuous improvement.
MLOpsCerebraTechAI Team1/10/2024
Version everything: data, code, models, and configuration.
Monitor system health and quality signals, not just latency and errors.
Treat releases like software: canary, rollback, and runbooks.