Canary Deployment

A deployment strategy where a new model is gradually rolled out to a small subset of users to detect issues before full-scale deployment.

Rolling out a new AI model to just 1-5% of users first. If everything looks good, gradually expand. If problems appear, you've only affected a small group. Named after the canary in the coal mine.