SageMaker expands MLflow registry sync with metrics and lineage

AWS says its Managed MLflow integration with SageMaker AI Model Registry now transfers training metrics, evaluation results, inference specifications and lineage when registered models are synchronized. The opt-in sync also supports lifecycle-stage promotion from MLflow, with IAM condition keys available to limit who can move a model to production. Previously, synced registry entries lacked metrics, evaluation results and lineage, requiring reviewers to return to MLflow or gather context manually.