Amazon Relational Database Service (Amazon RDS) in Asia Pacific (Osaka) now offers export of snapshot data to Amazon S3 in Apache Parquet  format, an efficient open columnar storage format for analytics. The Parquet format is up to 2x faster to export and consumes up to 6x less storage in Amazon S3, compared to text formats. The exported data can be analyzed using AWS tools such as Amazon Athena and Amazon SageMaker, or an open source big data framework such as Apache Spark .

Starting today, AWS customers can use ED25519 keys to prove their identity when connecting to EC2 instances using EC2 Instance Connect and EC2 Serial Console from the command line interface.

Today, we are announcing the availability of Red Hat OpenShift Service on AWS (ROSA) in the Asia Pacific (Osaka) Region.

AWS Lambda now supports Max Batching Window, a new feature that allows developers to fine tune Lambda invocation for cost optimization. This feature gives you additional control on batching behavior when processing data from Amazon MSK, Apache Kafka, Amazon MQ for Apache Active MQ and RabbitMQ as event sources.

Read below for the 19 new or updated datasets from Meta, the Brazilian Space Agency, Radboud University Medical Center, and others available on the Registry of Open Data in the following categories.

AWS Security Hub is now integrated with AWS Health and automatically receives security-related findings from AWS Health to provide you with a more complete view of your AWS security posture. AWS Health delivers alerts about your resource performance and the availability of your AWS services and accounts. AWS Health alerts also cover some security topics, and those security-related alerts are now sent to Security Hub. Examples of security-related alerts from AWS Health include alerts about compromised AWS access keys, security alerts about an AWS service (e.g., an older version of an Amazon RDS database instance that needs to be upgraded due to a known vulnerability), or alerts about operational issues associated with an AWS security service (e.g., a regional outage).

Amazon Rekognition content moderation is a deep learning-based feature that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Amazon Rekognition provides a detailed taxonomy across 35 sub-categories and 10 distinct top-level moderation categories . On 11/05/2021, we launched an update with improved model for image moderation that reduces false positive rates across all of the moderation categories, particularly ‘explicit nudity’, without reduction in detection rates for truly unsafe content. Lower false positive rates imply lower volumes of flagged images to be reviewed further, leading to a better experience for human moderators and more cost savings.

We are announcing the support of using Apache Spark SQL to update Glue Data Catalog tables when using Amazon EMR integration with AWS Lake Formation .

AWS Client VPN now provides the ability for all customers to display a customizable banner on the AWS Client VPN Desktop application when a VPN session is established. The banner text can contain privacy and security notices that will be displayed to end-users before granting VPN access. Customers will now be able to configure the banner text using the AWS Console or API, and be displayed on the AWS Client Desktop applications  (AWS Client VPN for Windows v2.0.0 or higher, AWS Client VPN for MacOS v2.0.0 or higher, AWS Client VPN for Ubuntu Linux v2.0.0 or higher). Customers will also be able to configure the maximum session duration to can help them meet certain security and compliance requirements. The maximum session duration is a trigger by which end-users are required to re-authenticate prior to establishing a VPN session.

You can now use the Amazon S3 Object Ownership setting, Bucket owner enforced, to disable access control lists (ACLs) in the AWS China (Beijing), AWS China (Ningxia), and AWS GovCloud (US) Regions, simplifying access management for data stored in S3. When you apply this bucket-level setting, every object in an S3 bucket is owned by the bucket owner, and ACLs are no longer used to grant permissions. As a result, access to your data is based on policies, including AWS Identity and Access Management (IAM) policies applied to IAM identities , session policies, Amazon S3 bucket and access point policies, and Virtual Private Cloud (VPC) endpoint policies. This setting applies to both new and existing objects in a bucket, and you can control access to this setting using IAM policies. With the new S3 Object Ownership setting, you can easily review, manage, and modify access to your shared data sets in Amazon S3 using only policies.