Implement Amazon SageMaker domain cross-Region disaster recovery using custom Amazon EFS instances

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. When working with SageMaker, your environment resides within a SageMaker domain, which encompasses critical components like Amazon Elastic File System (Amazon EFS) for storage, user profiles, and a diverse array of security configurations. This comprehensive setup enables collaborative efforts by allowing users to store, share, and access notebooks, Python files, and other essential artifacts.

In 2023, SageMaker announced the release of the new SageMaker Studio, which offers two new types of applications: JupyterLab and Code Editor. The old SageMaker Studio was renamed to SageMaker Studio Classic. Unlike other applications that share one single storage volume in SageMaker Studio Classic ...