Using data repositories with Amazon FSx for Lustre

Amazon FSx for Lustre provides high-performance file systems optimized for fast workload processing. It can support workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA). These workloads commonly require data to be presented using a scalable, high-speed file system interface for data access. Often, the datasets used for these workloads are stored in long-term data repositories in Amazon S3. FSx for Lustre is natively integrated with Amazon S3, making it easier to process datasets with the Lustre file system.

Note

File system backups aren't supported on file systems that are linked to a data repository. For more information, see Working with backups.

Topics

• Overview of data repositories
• POSIX metadata support for data repositories
• Linking your file system to an S3 bucket
• Importing changes from your data repository
• Exporting changes to the data repository
• Data repository tasks
• Releasing files
• Using Amazon FSx with your on-premises data
• Data repository event logs
• Working with older deployment types