10/27/2022, 12:00:00 AM ~ 10/28/2022, 12:00:00 AM (UTC) Recent Announcements Announcing the general availability of AWS Local Zones in Hamburg and Warsaw AWS Local Zones are now available in Hamburg and Warsaw—the first AWS Local Zones launch in Europe. You can now use AWS Local Zones in these metro areas to deliver applications that require single-digit millisecond latency or local data processing. AWS Cloud Control API is now available in the AWS Middle East (UAE) Region...
10/3/2022, 12:00:00 AM ~ 10/4/2022, 12:00:00 AM (UTC) Recent Announcements Amazon FSx for OpenZFS is now available in Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Hong Kong), and Europe (Stockholm) Regions You can now launch Amazon FSx for OpenZFS file systems in four additional AWS Regions: Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Hong Kong), and Europe (Stockholm). Amazon Machine Images now support Instance Metadata Service Version 2 by default...
9/14/2022, 12:00:00 AM ~ 9/15/2022, 12:00:00 AM (UTC) Recent Announcements Direct VPC routing for AWS Outposts rack is now available With direct VPC routing for AWS Outposts rack, you can now directly use the VPC private IP address of an Amazon EC2 instance on Outposts rack to communicate with your on-premises network. This new direct VPC routing mode is an alternative to the Customer-owned IP (CoIP) routing mode where Outposts rack uses a separate IP address pool provided by you from your on-premises network....
8/30/2022, 12:00:00 AM ~ 8/31/2022, 12:00:00 AM (UTC) Recent Announcements Announcing VMware Cloud on AWS integration with Amazon FSx for NetApp ONTAP AWS and VMware now offer a supplemental, jointly-engineered network file system (NFS) datastore option for VMware Cloud on AWS so you can reduce costs and accelerate your migration to the cloud. Amazon FSx for NetApp ONTAP is a fully managed service that allows you to run NetApp ONTAP filesystems on AWS....
8/23/2022, 12:00:00 AM ~ 8/24/2022, 12:00:00 AM (UTC) Recent Announcements Amazon SageMaker Automatic Model Tuning now reuses SageMaker Training instances to reduce start-up overheads by 20x Amazon SageMaker Automatic Model Tuning now reduces the start-up time of each training job launched to tune your models by 20x on average (from 2.5 minutes to 8 seconds). In scenarios where you have a large number of hyperparameter evaluations, the reuse of training instances can cumulatively save 2 hours for every 50 sequential evaluations....