Amazon S3 Glacier improves restore throughput by up to 10x when retrieving large amounts of archived data. The increased throughput applies automatically to all standard and batch retrievals in the Amazon S3 Glacier Flexible Retrieval and Amazon S3 Glacier Deep Archive storage classes at no additional cost. With higher restore throughput, applications can now process archived data faster.
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When restoring backups, responding to audit requests, retraining machine learning models, or performing historical data analysis, customers often need to quickly retrieve millions or even billions of archived objects. Amazon S3 Glacier now supports restore requests at a rate of up to 1,000 transactions per second per account in the Amazon Cloud Technology region. Improved restore rates allow your application to initiate restore requests from S3 Glacier at a faster rate, which significantly improves restore completion time for datasets consisting of small objects. Additionally, with S3 Bulk Operations, you can now automatically initiate requests at a faster rate and restore billions of objects containing petabytes of data with just a few clicks in the S3 console or through a single API request. Retrieval performance benefits scale with the number of objects restored, reducing data retrieval completion time by up to 90%.
Increased restore request rate is now available in all Amazon Cloud Technology regions, including the Amazon Web Services GovCloud (US) region, the Amazon Web Services China (Beijing) region operated by Sinnet, and the Amazon Web Services China (Beijing) region operated by NWCD Amazon Web Services China (Ningxia) Region. To learn more about Amazon S3 Glacier retrieval options, visit the S3 Features page and read the Publish blog post and review the User Guide.