Blue-Green Deployment

Centralized repository for curated features.

Shift in feature distribution over time.

Shift in model outputs.

Using production outcomes to improve models.

Running predictions on large datasets periodically.

Low-latency prediction per request.

Running new model alongside production without user impact.

Incrementally deploying new models to reduce risk.