Rolling out new ML models safely: offline gates, shadow traffic and canaries
A new model that wins offline can still lose in production, through skew, latency, or effects on users that offline data cannot show. This guide covers a staged rollout for models: offline gates, shadow traffic, canaries on business metrics, A/B tests when needed, and fast rollback.