10/13/2026, 12:00:00 AM ~ 10/14/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS Agent Registry now supports custom metadata for registry records

AWS Agent Registry is the centralized, governed catalog for agents, MCP servers, agent skills, gateways, and custom resources within your organization. As organizations scale to hundreds of such resources, a name and description alone are insufficient for effective governance and discovery. Custom metadata lets you extend every registry record with your organization’s own structured fields, so both people and automated systems can find and govern resources consistently.\n AWS Agent Registry documentation. For detailed setup guidance, see Define a custom metadata schema and Set custom metadata values on a record.

Amazon DCV releases version 2026.0 with RHEL 10 support and new clients

Amazon DCV 2026.0 is now available, adding support for RHEL 10, Rocky Linux 10, CentOS 10, and Ubuntu 26.04 along with a new macOS client and updated Windows and Linux clients. Amazon DCV is a high-performance remote display protocol that enables customers to securely access remote desktops and application sessions across Windows, Linux, and macOS.\nAmazon DCV 2026.0 includes the following key features and improvements: Support for RHEL 10, Rocky Linux 10, CentOS 10, and Ubuntu 26.04, with Linux hosts and sessions running on the modern Wayland display server A new macOS client with gamepad support, and updated Windows and Linux clients URL redirection on Windows hosts, so configured links opened in a remote session launch in the local browser on the client device Printer preferences redirection on Windows, giving remote sessions access to client-side printer settings Performance improvements, including H.264 frame slice support and slice-based multithreaded decoding on the Linux and macOS clients for lower latency Support for new macOS server versions on Amazon EC2 For more information about the new features and enhancements in Amazon DCV 2026.0, see the release notes or visit the Amazon DCV webpage to learn more and get started.

AWS Deadline Cloud now helps users find their accessible resources in the Deadline Cloud monitor

AWS Deadline Cloud now lets users who have access to specific queues, fleets, or jobs, rather than an entire farm, find the resources they can reach directly from the Deadline Cloud monitor. Deadline Cloud is a fully managed service that helps teams run compute-intensive workloads for visual effects, animation, product design, simulation, and gaming.\nPreviously, a user with access to only one queue had to get the farm ID from an administrator before they could reach their work. With this launch, the Deadline Cloud monitor displays to users queues they have access to, the parent IDs needed to reach them, and their level of access, covering both direct and group-inherited permissions. Teams now can share a single monitor entry point (URL) across different permission levels without additional coordination. Resource discovery is available in all AWS Regions where Deadline Cloud is available. To learn more, visit the AWS Deadline Cloud user guide.

Amazon Location Service launches an interactive API Playground featuring Places, Routes and Maps APIs

Amazon Location Service now offers a complete, interactive API Playground that lets developers explore and test every Places, Routes, and Maps API visually without writing code. With this release, all 14 Amazon Location Service Places, Maps and Routes APIs are available in an interactive API Playground, where developers can make real API calls, see results rendered on an interactive map, adjust parameters, and copy ready-to-use request snippets directly into their applications.\nThe API Playground covers Amazon Location Service’s Places, Routes, and Maps APIs: search and geocoding (Geocode, ReverseGeocode, Autocomplete, Suggest, SearchText, SearchNearby, and GetPlace), route planning and optimization (CalculateRoutes, CalculateRouteMatrix, CalculateIsolines, OptimizeWaypoints, and SnapToRoads), and mapping (Dynamic Map and GetStaticMap). Customers can simulate validating delivery addresses, planning truck-safe multi-stop routes, visualizing drive-time service areas, or embedding maps into their apps — with no SDK setup or test scripts required. The API Playground is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Malaysia), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), and South America (São Paulo). To get started, visit the Amazon Location Service API Playground in the AWS Console, or learn more in the Developer Guide.

Bring deep SageMaker AI expertise to your coding agent with the AWS AI/ML skill in the Agent Toolkit for AWS

Your coding agent can select, train, optimize and deploy models on Amazon SageMaker AI while working across the rest of your AWS environment in a single natural-language workflow. The AWS AI/ML skill is now a core skill in the Agent Toolkit for AWS, so it works alongside the toolkit’s other AWS skills like EC2, Bedrock, and more.\nWe released the new AWS AI/ML skill on the Agent Toolkit for AWS. The toolkit is now the single, supported integration point, replacing the previous AWS Labs skills and plugins, with a consistent and easy install and update path. The skill is also pre-installed into SageMaker Studio JupyterLab for use with Kiro or your coding agent of choice. Moreover, we extended the SageMaker AI capability areas supported by skills. Inference optimization: optimize deployed models for latency, throughput, and cost Model customization: end-to-end guided fine-tuning workflows, from use case definition through training, evaluation and deployment Serverful training for both traditional ML and generative AI MLflow: experiment tracking and model lifecycle management JumpStart model deployment and model recommendations: deploy pre-built JumpStart models and get guided recommendations on the right model for the use case Processing jobs: data preparation and ETL on managed compute The AWS AI/ML skill is available at no additional charge; you pay only for the AWS resources your agents use. To get started, install the skill from the Agent Toolkit for AWS on GitHub, or use it pre-installed in SageMaker Studio JupyterLab. To learn more about using a coding assistant with your SageMaker AI workflows, see the Amazon SageMaker AI documentation.

AWS DataSync Enhanced mode now supports FSx for OpenZFS, NFS 4.2, and object metadata controls

AWS DataSync Enhanced mode now supports Amazon FSx for OpenZFS as a source or destination location, NFS version 4.2 for on-premises NFS servers and FSx for OpenZFS file systems, and a new ObjectMetadata option for object storage transfers. Previously, customers transferring data to or from FSx for OpenZFS were limited to Basic mode.\nNFS 4.2 lets you transfer data from NFS servers on the latest version without reconfiguring them to an older protocol version. The ObjectMetadata option gives you control over whether an object’s user metadata is copied to the destination, which helps when destination metadata must stay intact, such as buckets served by AWS Storage Gateway, or when source metadata keys are not compatible with the destination, such as Azure Blob Storage. Existing tasks remain unaffected and continue to run as scheduled. These capabilities are available for Enhanced mode tasks in all AWS Regions where AWS DataSync Enhanced mode is supported. To learn more, visit the AWS DataSync documentation.

Amazon Route 53 now supports registrations, transfers, and renewals for Premium Domains

Amazon Route 53 Domains now supports Premium Domain Names. Customers can now search for, register, transfer, renew, and restore registry premium names directly through Route 53.\nMost domain registries set aside a selection of “premium” domains - names that are short, memorable, or in high demand. Previously, Route 53 Domains did not support these premium names, which meant customers who wanted them had to register and manage them through other registrars, fragmenting their portfolios across multiple providers. With this launch, customers can now discover and acquire premium domains directly in Route 53 Domains, consolidate their existing premium domains from other registrars, and manage premium and standard domains together through a single, unified experience. Finding and registering a premium domain works just like it does for standard domains. Premium domains appear automatically in domain search and availability results, with pricing shown upfront, so customers know the cost before they commit. To learn more about Amazon Route 53 Domains and start registering premium domains, visit the Amazon Route 53 Domains page. For a complete list of supported top-level domains, see the Route 53 TLD list.

Amazon RDS now supports the latest CU for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest Cumulative Updates (CU) for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2025 CU8 KB5104822 (RDS version 17.00.4075.5.v1).\n Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine.

AWS Blogs

AWS Japan Blog (Japanese)

AWS News Blog

AWS Architecture Blog

AWS Cloud Operations Blog

AWS Big Data Blog

AWS Compute Blog

AWS Contact Center

AWS Database Blog

AWS for Industries

Artificial Intelligence

AWS Security Blog

Open Source Project

AWS CLI

Amplify for JavaScript

Bottlerocket OS