Tag: Internet

Amazon S3 Express One Zone, a high performance S3 storage class, now supports tags for cost allocation and attribute-based access control (ABAC). You can add tags to S3 directory buckets to track and organize AWS costs using AWS Billing and Cost Management. Additionally, with ABAC support, you can extend your tag-based access control to new and existing users, roles, and directory buckets. This helps eliminate frequent AWS Identity and Access Management (IAM) or S3 bucket policy updates, simplifying how you scale access governance. S3 Express One Zone supports tags on directory buckets in all AWS Regions where the storage class is available. You can get started with tagging using the AWS Management Console, S3 REST API, AWS CLI, or the AWS SDK. To learn more about using tags to simplify cost allocation or ABAC, visit the

Today, we are releasing two capabilities in Amazon Nova Canvas: virtual try-on and style options. These features enhance AI-powered image generation, enabling more engaging and customized visual content. With virtual try-on integrated into Amazon Nova Canvas, you can now create immersive shopping experiences by visualizing products in context. Whether it's seeing clothing naturally draped on a shopper or furniture intelligently placed in a living space, the process is simple - you just need to upload two images: one showing the person or space, and another showing the product. Amazon Nova Canvas then creates realistic visualizations while preserving important details, making it easier for customers to make confident purchasing decisions. With style options integrated into Amazon Nova Canvas, users can specify different artistic styles that will consistently produce an image using that style, without having to specifying it in each text prompt. There are 8 supported

Amazon QuickSight Enterprise Edition customers can now load up to 2 billion rows of data into Super-fast Parallel In-memory Calculation Engine (SPICE) datasets. This improvement doubles previous capacity of 1 billion rows without slowing ingestion speed or query performance, enabling customers to explore business data over longer time periods or more categories to discover new business insights. Learn more. The new SPICE dataset size limitation is now available in Amazon QuickSight Enterprise Editions in all QuickSight regions - US East (N. Virginia and Ohio), US West (Oregon), Canada, Sau Paulo, Europe (Frankfurt, Ireland and London), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), and AWS GovCloud (US-West).  

AWS Site-to-Site VPN is extending three new capabilities, including AWS Secrets Manager integration, for enhanced security and ease of configuration in AWS GovCloud (US) Regions and AWS Europe (Milan) Region. AWS Secrets Manager Integration: With the AWS Secrets Manager integration, when customers store their pre-shared keys (PSKs) in Secrets Manager, VPN connection API responses will redact the PSK and instead display the Secrets Manager ARN (Amazon Resource Name), providing enhanced security. New API to track VPN algorithms: You can now easily track the currently negotiated internet key exchange (IKE) version, Diffie-Hellman (DH) groups, encryption algorithms, and integrity algorithms using the “GetActiveVpnTunnelStatus” API. This new API eliminates the need for you to enable Site-to-Site VPN logs to get this information, saving time and reducing operational overhead. Recommended Configuration:

Today, AWS announces the general availability of Neuron 2.24, delivering new features and performance improvements for customers building and deploying deep learning models on AWS Inferentia and Trainium-based instances. Neuron 2.24 introduces support for PyTorch 2.7, enhanced inference capabilities, and expanded compatibility with popular machine learning frameworks. These updates help developers and data scientists accelerate model training and inference, improve efficiency, and simplify the deployment of large language models and other AI workloads. With Neuron 2.24, customers can take advantage of advanced inference features such as prefix caching for faster Time-To-First-Token (TTFT), disaggregated inference to reduce prefill-decode interference, and

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced response customization for Q Business applications. This new capability enables organizations to tailor how their Q Business applications generate and format responses to user queries, ensuring consistent communication for all users. With response customization, customers can provide instructions for identity, tone, and output style when configuring Q Business applications. This customizes the chat persona and its communication formality, along with response length and detail to match their specific needs. This feature includes built-in guardrails to ensure that response settings align with existing admin controls. Response customization is available in all AWS Regions where Amazon Q Business is offered. To learn more about this feature, visit the

Amazon Connect now supports custom work labels for agent schedules, making it easier for you to identify the type of work an agent is scheduled for. With this launch, you can create work activities with custom labels and assign them to agent schedules by day of the week. For example, you can assign “Order processing” as the work activity for Monday, “Returns management” for Tuesday, and “Work” (existing default activity) for rest of the week. Thus simplifying the experience for managers as they can now easily identify who is scheduled for which type of work. This launch also improves the experience for agents as they now have visibility into how their time is allocated. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click

Amazon Keyspaces (for Apache Cassandra) now supports Change Data Capture (CDC) streams, enabling you to capture row-level changes in your tables in near-real time. CDC streams in Amazon Keyspaces automatically capture insert, update, and delete operations as change events, delivering them in order with automatic deduplication. With CDC streams, you can build event-driven applications and implement use cases such as data analytics, text search, ML training/inference, and continuous data backups for archival. Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. CDC streams retain data for up to 24 hours and can scale automatic

AWS Clean Rooms now supports two enhancements to its machine learning capabilities that help you train models more efficiently and at scale to generate predictive insights in a Clean Rooms collaboration. Incremental training enables you to build upon existing model artifacts to create new models, and distributed training allows you to train models across multiple compute instances simultaneously. These capabilities help data scientists and ML practitioners accelerate data collaboration and analysis while maintaining the privacy of the training datasets. With AWS Clean Rooms ML custom modeling, you and your partners can train and run inference on a custom ML model using collective datasets at scale without having to share sensitive intellectual property. With incremental training, you can leverage previously trained models to create new variants using expanded datasets, significantly reducing training time and compute resources. Additionally, distributed training lets you pr

Today, AWS re:Post Private announces the launch of channels, designed to enhance collaborative knowledge sharing within companies. Channels allow companies to create secure, dedicated private spaces within their re:Post Private environment, tailored to specific teams, projects, or topics. With channels, companies invite relevant users to collaboratively solve problems and build a team-specific knowledge base. Teams can collaborate on specific topics without exposing content to the entire community in their company. Companies can manage access to channels using Identity and Access Management (IAM) Identity Center groups with centralized access management. Channels on re:Post Private are ideal for scenarios where companies need to create dedicated, topic-specific spaces for various business functions, such as legal departments or confidential projects. This feature is also valuable for companies supporting multiple agencies or clients, allowing them to establish separate, sec