2022-09-22

9/22/2022, 12:00:00 AM ~ 9/23/2022, 12:00:00 AM (UTC) Recent Announcements Amazon SageMaker Data Wrangler launches new advanced settings for Amazon Athena data sources Amazon SageMaker Data Wrangler reduces the time that it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization, from a single visual interface....

September 22, 2022

2022-09-20

9/20/2022, 12:00:00 AM ~ 9/21/2022, 12:00:00 AM (UTC) Recent Announcements Amazon Corretto 19 is now generally available Amazon Corretto 19 is now generally available. This version supports the latest OpenJDK feature release and is available on Linux, Windows, and macOS. You can download Corretto 19 from our downloads page. Announcing local clusters for Amazon EKS on Outposts Today, we are excited to announce the general availability of local clusters for Amazon Elastic Kubernetes Service (EKS) on Outposts, which enable you to run highly available Kubernetes clusters in on-premises environments....

September 20, 2022

2022-09-01

9/1/2022, 12:00:00 AM ~ 9/2/2022, 12:00:00 AM (UTC) Recent Announcements Automate AWS Control Tower guardrail management through APIs AWS Control Tower customers can now programmatically manage controls, also known as guardrails, across their organization at scale. Customers can programmatically enable, disable, and view application status of controls available in the AWS Control Tower library. Control APIs include AWS CloudFormation support, allowing customers to manage AWS resources as infrastructure as code (IaC)....

September 1, 2022

2022-08-23

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....

August 23, 2022

2022-07-27

7/27/2022, 12:00:00 AM ~ 7/28/2022, 12:00:00 AM (UTC) Recent Announcements Amazon S3 increases the maximum number of S3 Access Points and adds support for Amazon Redshift, Amazon CloudFront, and Amazon SageMaker Feature Store You can now create up to 10,000 Amazon S3 Access Points per region per account to manage granular access permissions across your different applications. In addition, access points now support Amazon SageMaker, Amazon Redshift, and Amazon CloudFront, helping you use access point aliases directly with your applications as a replacement for S3 bucket names....

July 27, 2022