AWS News Blog

Category: Storage

EventBridge-feat

Monitor and debug event-driven applications with new Amazon EventBridge logging

Amazon EventBridge now supports enhanced logging capabilities that enable you to easily monitor and debug your event-driven applications on AWS. Enhanced logging provides complete event lifecycle tracking with detailed logs that show when events are published, matched against rules, delivered to subscribers, or encounter failures.

Amazon_S3_Vectors featured image

Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)

Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches while seamlessly integrating with Amazon Bedrock Knowledge Bases, SageMaker, and OpenSearch for AI applications.

AWS Weekly Roundup

AWS Weekly Roundup: Project Rainier, Amazon CloudWatch investigations, AWS MCP servers, and more (June 30, 2025)

Every time I visit Seattle, the first thing that greets me at the airport is Mount Rainier. Did you know that the most innovative project at Amazon Web Services (AWS) is named after this mountain? Project Rainier is a new project to create what is expected to be the world’s most powerful computer for training […]

Amazon FSx for OpenZFS

Amazon FSx for OpenZFS now supports Amazon S3 access without any data movement

You can now attach Amazon S3 Access Points to your Amazon FSx for OpenZFS file systems so that you can access your file data as if it were in S3. With this new capability, you can work with your file data using a broad range of applications that work with S3—all without any refactoring or data movement.

New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction

Amazon S3 now enables improved Apache Iceberg query performance through two new compaction strategies—sort and z-order—available for both S3 Tables and general purpose S3 buckets, helping organize data more efficiently by clustering similar values together and reducing file scanning during queries.