Amazon SageMaker now offers a fully managed MLflow Capability

Amazon SageMaker now includes a fully managed MLflow capability, simplifying the process of organizing, tracking, and analyzing ML experiments. Users can benefit from enhanced scalability, availability, and security. SageMaker integrates seamlessly with MLflow, allowing data scientists to manage experiments, track metrics, and deploy models without requiring custom MLflow container builds. Available in all AWS regions except China and GovCloud (US), this integration facilitates a unified model governance experience.