Three regional storage classes are now supported by Amazon EFS with this launch:EFS Standard :SSD storage powers , which is intended to provide active data with submillisecond latency.EFS Infrequent Access (EFS IA): Designed to save costs for data viewed infrequently, this type of access does not require the submillisecond latencies of EFS Standard.EFS Archive: Cost-optimized for data that is accessed only occasionally per year, this solution performs similarly to EFS IA.
Every regional storage class is built for eleven nines of durability and offers gigabytes of throughput per second along with performance in the hundreds of thousands of IOPS.
EFS lifecycle management can automatically migrate files across storage classes based on their access patterns, so you don’t need to explicitly select a storage class for your file systems.
You can affordably store infrequently used data in the same shared file system as other data by using EFS Archive. Analytics workloads can be set up and scaled more quickly and easily thanks to this streamlined storage method that enables end users and apps to work together on big shared information in one location.
Workloads with sizable file-based datasets that combine active and inactive data, such as user shares, machine learning (ML) training datasets, SaaS applications, and data kept for regulatory compliance, such as financial transactions and medical records, can be cost-optimized with Amazon EFS Archive.
The file system’s lifecycle management must be configured before you can use the new EFS Archive storage class. Choose Edit after selecting one of your file systems in the Amazon EFS dashboard.
Files older than a month are rarely used in your workflows. Although they are not used in regular operations, files older than a quarter must be retained for a longer period of time. You choose to automatically move files to EFS IA after 30 days and to Amazon EFS Archive after 90 days from the previous access based on these factors