Cloud Computing Köln

AWS Transform agents now available in Kiro, Claude, Cursor, and Codex

Today, AWS announces that the AWS Transform agents — built on decades of AWS migration and modernization experience — are now accessible through a Kiro power, agent plugins, and via the AWS Transform MCP server. Developers can now consume all of AWS Transform’s capabilities directly from their preferred development environment, whether working interactively in an agentic IDE, managing jobs through the web console, or integrating programmatically via MCP.
This launch gives builders flexibility to choose the surface that fits their workflow while gaining the depth of transformation expertise behind the AWS Transform agents for Windows, VMware, mainframe and more. A developer can start a transformation in their agentic IDE, monitor progress and collaborate in the web console, then see results back in their IDE — all against the same underlying job with consistent state. Additionally, AWS Transform now supports IAM role authentication. Customers who start using AWS Transform in their IDE or the web app can use their existing AWS credentials to create a Transform environment, workspace, and transformation job.
The agent plugin and MCP are available on GitHub, and the Kiro Power within the Kiro marketplace. To learn more, see https://aws.amazon.com/transform.
Quelle: aws.amazon.com

AWS Transform introduces the agent builder toolkit Kiro power for building customized transformation agents

Today, as part of the AWS Transform composability initiative, AWS announces the general availability of the agent builder toolkit Kiro power for AWS Transform. With the agent builder toolkit, AWS Partners and customers can build agents tailored to their specific modernization needs and ensure it works seamlessly within AWS Transform.
This capability enables Migration and Modernization Competency Partners, ISVs, or customers to create differentiated transformation solutions by integrating their specialized agents, tools, knowledge bases, and workflows with AWS Transform’s agentic AI capabilities. The agent builder toolkit provides the end-to-end lifecycle for transformation agents: build agents using the Kiro power; share them with teams or across partner networks, and register them with AWS Transform for discovery. The agent builder toolkit for AWS Transform is available in the Kiro power marketplace. To learn more, see AWS Transform (https://aws.amazon.com/transform).
Quelle: aws.amazon.com

SageMaker AI now supports serverless model customization for Qwen3.6

Amazon SageMaker AI now supports serverless model customization for Qwen3.6 27B parameter model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). Qwen3.6 is a popular open-weight model family from Alibaba Cloud. This launch is an addition to our support for fine-tuning Qwen3.5 and other popular models. Before this launch, you could deploy Qwen3.6 base model on SageMaker AI and now, you can also adapt it to your specific domains and workflows. Model customization enables you to tailor foundation models with your proprietary data so they more accurately reflect your domain knowledge, terminology, and quality standards. Rather than building models from scratch, fine-tuning lets you start from a capable base model and specialize it for your use cases, whether that’s improving accuracy on domain-specific tasks, aligning outputs with your organization’s tone, or improving performance on new tasks using your labeled data. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation rather than cluster management, and only pay for what you use. Serverless model customization for Qwen3.6 on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and EU (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, or use the SageMaker Python SDK for programmatic access. To learn more, see the Amazon SageMaker AI model customization documentation.
Quelle: aws.amazon.com

Amazon RDS for Oracle now supports M8i and R8i instances with Oracle SE2 License Included

Amazon RDS for Oracle now offers M8i and R8i instances with Oracle Database Standard Edition 2 (SE2) with the License Included (LI). M8i and R8i instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The new instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. With RDS for Oracle SE2 LI, customers don’t have to separately purchase Oracle license and support. Amazon RDS for Oracle SE2 LI offers subscription based pay-per-use pricing inclusive of software license, support, compute resources, and a managed database service. To use RDS for Oracle SE2 LI, customers can create database instances from the AWS Management Console or using the AWS CLI. and specify the LI option. For more details about how you can lower cost and simplify operations of running Oracle databases, refer to the AWS blog Rethink Oracle Standard Edition Two on Amazon RDS for Oracle. Configuration details for available instance types can be found on the Amazon RDS for Oracle Instance Types page. Review the AWS blog Rethink Oracle Standard Edition Two on Amazon RDS for Oracle to explore how you can lower cost and simplify operations by using Amazon RDS Oracle SE2 License Included instances for your Oracle databases. For pricing and AWS Region availability, see Amazon RDS for Oracle Pricing.
Quelle: aws.amazon.com

Amazon FSx for OpenZFS now supports creating Multi-AZ file systems in shared VPCs

Amazon FSx for OpenZFS now allows you to create Multi-AZ file systems in shared VPCs within your AWS organization, making it easier for you to decentralize network and storage administration.
VPC sharing is a feature that allows resource owners (“owner accounts”) to share one or more VPC subnets with other accounts (“participant accounts”) in their AWS organization. Participant accounts can then view, create, modify, delete, and manage their application resources in the subnets shared with them. Previously, participant accounts could create Single-AZ OpenZFS file systems in VPCs shared with them, but could only create Multi-AZ file systems in VPCs they owned. Starting today, participant accounts can create any FSx for OpenZFS file system in a shared VPC, allowing organizations to run highly available file systems with centralized network management.
You can create Multi-AZ FSx for OpenZFS file systems from shared VPC participant accounts in all AWS Regions where Amazon FSx for OpenZFS is available. To learn more, visit the FSx for OpenZFS documentation and the FSx for OpenZFS product page.
Quelle: aws.amazon.com