How do you deploy model updates safely using SageMaker deployment guardrails?

Use blue/green deployment with canary or linear traffic shifting, gated by CloudWatch alarms and a baking period, so a bad model receives a small fraction of traffic and rolls back automatically before broad exposure.

update_endpoint defaults to an all-at-once blue/green swap: the new fleet is provisioned, health-checked, and traffic moves in one step. Health checks confirm the container starts — they say nothing about whether the model's predictions are correct. Guardrails add the missing gate.

Canary — send a small slice (say 10%) to the new fleet, bake for a fixed period under alarm watch, then shift the rest. Best when a problem shows quickly in metrics.

Linear — shift in equal increments (10% every 5 minutes) with baking between steps.…