Relevant News - Amazon S3

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/rds-exports-s3-available-gov-cloud/

Amazon RDS Snapshot Export to S3 is now available in AWS GovCloud (US) regions, enabling you to export snapshot data in Apache Parquet format for analytics, data retention, and machine learning use cases.

Snapshot export to S3 supports all DB snapshot types (manual, automated system, and AWS Backup snapshots) and runs directly on the snapshot without impacting database performance. The exported data in Apache Parquet format can be analyzed using other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon Redshift Spectrum, or with big data processing frameworks such as Apache Spark.

You can create a snapshot export with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Snapshot Export to S3 is supported for Amazon Aurora PostgreSQL - Compatible Edition and Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, and Amazon RDS for MariaDB snapshots. For more information, including instructions on getting started, read Aurora documentation or Amazon RDS documentation.

Published: 2026-02-24 18:26:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/generative-ai-based-Amazon-Q-artifacts/

Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to access from anywhere in the AWS Management Console.

Customers can access Amazon Q artifacts by selecting the Amazon Q icon and asking questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production", Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering "Show me RDS costs by instance type over the last 6 months", Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel to the right of the Amazon Q chat panel. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.

The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer documentation.

Published: 2026-02-23 20:05:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-s3-tables-aws-govcloud-us/

Amazon S3 Tables are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West).

Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, offering optimized tabular data storage at scale. S3 Tables are designed to perform continual table maintenance to automatically optimize query efficiency and storage cost over time, even as your data lake scales and evolves. With S3 Tables support for the Apache Iceberg standard, your tabular data can be easily queried by popular AWS and third-party query engines. Additionally, with the Intelligent-Tiering storage class, S3 Tables automatically manage costs based on access patterns, without performance impact or operational overhead.

For a full list of AWS Regions where S3 Tables are available, see S3 Tables AWS Regions and endpoints. To learn more, visit the product page, documentation, and the Amazon S3 pricing page.

Published: 2026-02-23 05:00:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/aws-clean-rooms-remote-iceberg-catalogs

AWS Clean Rooms now supports catalog federation for remote Iceberg catalogs. This capability simplifies clean room setup by providing direct, secure access to Iceberg tables stored in Amazon S3 and cataloged in remote catalogs—without requiring table metadata replication. Organizations can now use AWS Glue catalog federation to provide direct access to their existing Iceberg REST catalog in a Clean Rooms collaboration. For example, a media publisher with data cataloged in the AWS Glue Data Catalog and an advertiser with data cataloged in a remote Iceberg catalog can analyze their collective datasets to evaluate advertising spend—without having to build ETL data pipelines or share underlying data with one another.

AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.

Published: 2026-02-18 12:00:00+00:00

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-s3-source-region-information/

Amazon S3 server access logs now include source region information, specifying which AWS Region requests to your data originate from. This identifies applications that are making cross-region requests, helping you to optimize cost and performance.

Source region information automatically appears at the end of each server access log entry with no additional configuration. For example, if your application requests data from your us-east-1 bucket from us-west-2, the log entry shows "us-west-2" as the source region.

This feature will be available in all AWS Regions in the coming weeks at no additional cost. To learn more about S3 server access log format and best practices, visit the S3 User Guide.

Published: 2026-02-23 23:14:00+00:00