Cloud Computing Köln

Amazon S3 Access Grants are now available in additional AWS Regions

You can now create Amazon S3 Access Grants in the AWS Asia Pacific (Thailand) and AWS Mexico (Central) Regions. Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity. Visit the AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.
Quelle: aws.amazon.com

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. 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.
Quelle: aws.amazon.com

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. 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.
Quelle: aws.amazon.com

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. 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. 
Quelle: aws.amazon.com

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. 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. 
Quelle: aws.amazon.com