10/29/2025, 12:00:00 AM ~ 10/30/2025, 12:00:00 AM (UTC)

Recent Announcements

TwelveLabs’ Marengo Embed 3.0 for advanced video understanding now in Amazon Bedrock

TwelveLabs’ Marengo Embed 3.0 is now available on Amazon Bedrock, bringing advanced video-native multimodal embedding capabilities to developers and organizations working with video content. Marengo embedding models unify videos, images, audio, and text into a single representation space, enabling you to build sophisticated video search and content analysis applications for any-to-any search, recommendation systems, and other multimodal tasks with industry-leading performance.\n Marengo 3.0 delivers several key enhancements. Extended video processing capacity: process up to 4 hours of video and audio content and files up to 6GB—double the capacity of previous versions—making it ideal for analyzing full sporting events, extended training videos, and complete film productions. Enhanced sports analysis: the model delivers significant improvements with better understanding of gameplay dynamics, player movements, and event detection. Global multilingual support: expanded language capabilities from 12 to 36 languages, enabling global organizations to build unified search and retrieval systems that work seamlessly across diverse regions and markets. Multimodal search precision: combine images and descriptive text in a single embedding request, merging visual similarity with semantic understanding to deliver more accurate and contextually relevant search results. AWS is the first cloud provider to offer TwelveLab’s Marengo 3.0 model, now available in US East (N. Virginia), Europe (Ireland), and Asia Pacific (Seoul). The model supports synchronous inference for low-latency text and image embeddings, and asynchronous inference for processing for video, audio, and large-scale image files. To get started, visit the Amazon Bedrock console. To learn more, read product page, and documentation.

4 new image editing tools added to Stability AI Image Services in Amazon Bedrock

Amazon Bedrock announces the availability of 4 new image editing tools to Stability AI Image Services: outpaint, fast upscale, conservative upscale, and creative upscale. These tools give creators precise control over their workflows, enabling them to transform concepts into finished products efficiently. The expanded suite now offers enhanced flexibility for professional creative projects.\n Stability AI Image Services offers three categories of image editing capabilities: Edit tools: Remove Background, Erase Object, Search and Replace, Search and Recolor, Inpaint, and Outpaint (NEW) let you make targeted modifications to specific parts of your images; Upscale tools: Fast Upscale (NEW), Conservative Upscale (NEW), and Creative Upscale (NEW) enable you to enhance resolution while preserving quality; Control tools: Structure, Sketch, Style Guide, and Style Transfer give you powerful ways to generate variations based on existing images or sketches. Stability AI Image Services is available in Amazon Bedrock through the API and is supported in US West (Oregon), US East (N. Virginia), and US East (Ohio). For more information on supported regions, visit the Amazon Bedrock Model Support by Regions guide. For more details about Stability AI Image Services and its capabilities, visit the launch blog, Stability AI product page, and Stability AI documentation page.

Amazon EC2 High Memory U7i instances are now available in AWS Europe (London) Region

Amazon EC2 U7i-8tb (u7i-8tb.112xlarge) instances are now available in the AWS Europe (London) region. U7i-8tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), delivering up to 135% more compute performance over existing U-1 instances. U7i-8tb instances offer 8TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment.\n U7i-8tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.

AWS Elastic Beanstalk adds support for Amazon Corretto 25 and Tomcat 11

AWS Elastic Beanstalk now enables customers to build and deploy Tomcat 11 applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 and Jakarta EE 11 features while benefiting from AL2023’s enhanced security and performance capabilities.\n AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Tomcat 11 with Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 with Tomcat 11 on AL2023 through the Elastic Beanstalk Console, CLI, or API.

This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.

For more information about Corretto 25 with Tomcat 11 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.

Amazon S3 adds conditional write functionality to copy operations

Amazon S3 expands conditional write functionality to copy operations. With conditional copy, you can now verify if the object exists or has been modified in your destination S3 bucket before copying it. This helps you coordinate simultaneous writes to the same object and prevents multiple concurrent writers from unintentionally overwriting the object.\n You can now perform conditional copy operations through S3 CopyObject by including either the HTTP if-none-match header to verify object existence or the HTTP if-match header with ETag to validate the object’s content. Additionally, you can use the s3:if-match and s3:if-none-match condition keys in your S3 bucket policies to enforce conditional copy operations. S3 then evaluates the condition against the specified object’s key or ETag before executing the copy operation in the destination bucket. This eliminates the need for additional client-side coordination mechanisms or API validation requests. Conditional copy is available at no additional charge in all AWS Regions in both S3 general purpose and directory buckets. You can use the AWS SDK, API, or CLI to copy data conditionally to your buckets. To learn more about conditional operations, visit the S3 User Guide.

Amazon EBS introduces additional performance monitoring metrics for EBS volumes

Amazon EBS now provides additional visibility to monitor the average IOPS and average throughput of your Amazon EBS volumes with two new CloudWatch metrics - VolumeAvgIOPS and VolumeAvgThroughput. You can use the metrics to monitor the I/O being driven on your EBS volumes to track performance trends.\n With these new volume level metrics, you can troubleshoot performance bottlenecks and optimize your volume’s provisioned performance to meet your application needs. The metrics will provide per-minute visibility into the driven average IOPS and average throughput on your EBS volume. With Amazon CloudWatch, you can use the new metrics to create customized dashboards and set alarms that notify you or automatically perform actions based on the metrics. The VolumeAvgIOPS and VolumeAvgThroughput metrics are available by default at a 1-minute frequency at no additional charge and are supported for all EBS volumes attached to an EC2 Nitro instance in all Commercial AWS Regions, including the AWS GovCloud (US) Regions and AWS China Regions. To learn more about these new metrics, please visit the EBS CloudWatch Metrics documentation.

Web Grounding: Build accurate AI applications with Amazon Nova models

We are excited to announce the general availability of Web Grounding, a new built-in tool for Nova models. Customers can use Web Grounding today with Nova Premier using the Amazon Bedrock tool use API. Support for additional Nova models is coming soon.\n Web Grounding is a built-in tool that can be used to retrieve and incorporate publicly available information with citations as context for responses. Developers can use the Web Grounding tool to implement a turnkey Retrieval Augmented Generation (RAG) solution using current, real-time information, reducing hallucinations and leading to more accurate outputs. Web Grounding is available today in AWS US East (N. Virginia) Region. Learn more about using the Web Grounding tool on Nova models and steps to get started at our blog post.

AWS Control Tower is now available in AWS Asia Pacific (New Zealand) Region

Starting today, customers can use AWS Control Tower in the AWS Asia Pacific (New Zealand) Region. With this launch, AWS Control Tower is available in 34 AWS Regions and the AWS GovCloud (US) Regions. AWS Control Tower offers the easiest way to set up and govern a secure, multi-account AWS environment. It simplifies AWS experiences by orchestrating multiple AWS services on your behalf while maintaining the security and compliance needs of your organization. You can set up a multi-account AWS environment within 30 minutes or less, govern new or existing account configurations, gain visibility into compliance status, and enforce controls at scale.\n If you are new to AWS Control Tower, you can launch it today in any of the supported regions and you can use AWS Control Tower to govern your multi-account environment in all supported Regions. If you are already using AWS Control Tower and you want to extend its governance features to the newly supported regions in your accounts, you can go to the settings page in your AWS Control Tower dashboard, select your regions, and update your landing zone. Once you update all your governed accounts, your landing zone, managed accounts, and registered OUs will be under governance in the new region(s). For a full list of Regions where AWS Control Tower is available, see the AWS Region Table. To learn more, visit the AWS Control Tower homepage or see the AWS Control Tower User Guide.

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