AWS News Blog
Top announcements of AWS re:Invent 2024
Don’t miss our summary of the biggest announcements from this year’s flagship conference, which took place Dec. 2-6, 2024 in Las Vegas, Nevada.
Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security
AWS extends GuardDuty with AI/ML capabilities to detect complex attack sequences across workloads, applications, and data, correlating multiple security signals over time for proactive cloud security.
Container Insights with enhanced observability now available in Amazon ECS
With granular visibility into container workloads, CloudWatch Container Insights with enhanced observability for Amazon ECS enables proactive monitoring and faster troubleshooting, enhancing observability and improving application performance.
AWS Clean Rooms now supports multiple clouds and data sources
With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights.
New physical AWS Data Transfer Terminals let you upload to the cloud faster
Rapidly upload large datasets to AWS at blazing speeds with the new AWS Data Transfer Terminal, secure physical locations offering high throughput connection.
Enhance your productivity with new extensions and integrations in Amazon Q Business
Seamlessly access AI assistance within work applications with Amazon Q Business’s new browser extensions and integrations.
Announcing Amazon FSx Intelligent-Tiering, a new storage class for FSx for OpenZFS
Delivering NAS capabilities with automatic data tiering among frequently accessed, infrequent, and archival storage tiers, Amazon FSx Intelligent-Tiering offers high performance up to 400K IOPS, 20 GB/s throughput, seamless integration with AWS services.
New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock
Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale.