# SageMaker expands MLflow registry sync with metrics and lineage

_Tuesday, September 8, 2026 at 1:03 PM EDT · AI · Latest · Tier 2 — Notable_

![SageMaker expands MLflow registry sync with metrics and lineage — Primary](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/08/31/ML-21407-featured-image-1.png)

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.

## Sources

- [AWS Machine Learning Blog](https://aws.amazon.com/blogs/machine-learning/govern-models-with-mlflow-and-amazon-sagemaker-ai-model-registry-sync-part-1/)

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Canonical: https://techandbusiness.org/newswire/QRJD6AHCWJ-Ajh4lGtvTMe
Retrieved: 2026-09-08T19:44:34.145Z
Publisher: Tech & Business (techandbusiness.org)