Amazon FSx

2021/09/02 - 9 new 7 updated api methods

Changes   Announcing Amazon FSx for NetApp ONTAP, a new service that provides fully managed shared storage in the AWS Cloud with the data access and management capabilities of ONTAP.

2021/06/08 - 7 updated api methods

Changes   This release adds support for auditing end-user access to files, folders, and file shares using Windows event logs, enabling customers to meet their security and compliance needs.

2021/05/27 - 7 updated api methods

Changes   This release adds LZ4 data compression support to FSx for Lustre to reduce storage consumption of both file system storage and file system backups.

2021/04/12 - 1 new 4 updated api methods

Changes   Support for cross-region and cross-account backup copies

2020/11/24 - 3 updated api methods

Changes   This release adds the capability to increase storage capacity of Amazon FSx for Lustre file systems, providing the flexibility to meet evolving storage needs over time.

2020/11/09 - 3 new 6 updated api methods

Changes   This release adds support for creating DNS aliases for Amazon FSx for Windows File Server, and using AWS Backup to automate scheduled, policy-driven backup plans for Amazon FSx file systems.

2020/08/12 - 7 updated api methods

Changes   This release adds the capability to create persistent file systems for throughput-intensive workloads using Hard Disk Drive (HDD) storage and an optional read-only Solid-State Drive (SSD) cache.

2020/07/23 - 6 updated api methods

Changes   Adds support for AutoImport, a new FSx for Lustre feature that allows customers to configure their FSx file system to automatically update its contents when new objects are added to S3 or existing objects are overwritten.

2020/06/24 - 7 updated api methods

Changes   This release adds the capability to take highly-durable, incremental backups of your FSx for Lustre persistent file systems. This capability makes it easy to further protect your file system data and to meet business and regulatory compliance requirements.

2020/06/01 - 6 updated api methods

Changes   New capabilities to update storage capacity and throughput capacity of your file systems, providing the flexibility to grow file storage and to scale up or down the available performance as needed to meet evolving storage needs over time.

2020/03/26 - 6 updated api methods

Changes   This release includes two changes: a new lower-cost, storage type called HDD (Hard Disk Drive), and a new generation of the Single-AZ deployment type called Single AZ 2. The HDD storage type can be selected on Multi AZ 1 and Single AZ 2 deployment types.

2020/02/24 - 6 updated api methods

Changes   Announcing persistent file systems for Amazon FSx for Lustre that are ideal for longer-term storage and workloads, and a new generation of scratch file systems that offer higher burst throughput for spiky workloads.

2019/12/23 - 3 new api methods

Changes   This release adds a new family of APIs (create-data-repository-task, describe-data-repository-task, and cancel-data-repository-task) that allow users to perform operations between their file system and its linked data repository.

2019/11/20 - 6 updated api methods

Changes   Announcing a Multi-AZ deployment type for Amazon FSx for Windows File Server, providing fully-managed Windows file storage with high availability and redundancy across multiple AWS Availability Zones.

2019/06/24 - 7 updated api methods

Changes   Starting today, you can join your Amazon FSx for Windows File Server file systems to your organization's self-managed Microsoft Active Directory while creating the file system. You can also perform in-place updates of file systems to keep your Active Directory configuration up to date.

2019/02/06 - 1 updated api methods

Changes   New optional ExportPath parameter added to the CreateFileSystemLustreConfiguration object for user-defined export paths. Used with the CreateFileSystem action when creating an Amazon FSx for Lustre file system.

2018/11/28 - 11 new api methods

Changes   Amazon FSx provides fully-managed third-party file systems optimized for a variety of enterprise and compute-intensive workloads.