Cloud Computing Köln

Amazon SageMaker Unified Studio adds notebook import/export and developer acceleration features

Amazon SageMaker Unified Studio notebooks now support import/export capabilities, enabling migration from JupyterLab and other notebook platforms. This release also introduces developer acceleration features including cell reordering, keyboard shortcuts, cell renaming, and multi-line SQL support, designed to enhance productivity for data engineers and data scientists professionals working with notebook-based workflows.
The new import/export functionality supports .ipynb, .json, and .py formats while preserving cell types and metadata, making platform migration straightforward. You can export notebooks in four formats including Jupyter notebook with requirements (.zip), standard .ipynb, Python scripts (.py), and SageMaker Unified Studio native format (.json). Developer acceleration features enable you to reorder cells without copy-paste duplication, assign custom names to cells for improved navigation in large notebooks, use familiar keyboard shortcuts for faster development, and execute multiple SQL statements in a single cell with results displayed in separate tabs for easy comparison and analysis.
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the Amazon SageMaker Unified Studio marketing page and user guide. 
Quelle: aws.amazon.com

AWS Cost Explorer launches Natural Language Query capabilities powered by Amazon Q

AWS Cost Explorer now brings Amazon Q Developer’s generative AI capabilities directly into your cost analysis workflows. You can now use natural language queries to ask Amazon Q questions about your AWS cost and usage data. In addition to providing answers to your question, you now also receive automatically updated visualizations in Cost Explorer. This enables faster cost analysis, reduces time to insights, and makes cost visibility accessible to every team member.
With this launch, you can start your cost analysis with the new suggested prompts in Cost Explorer. These prompts include commonly asked cost questions like “Show me my top spending services for this month.” Amazon Q provides detailed insights while Cost Explorer simultaneously updates with the corresponding visualization, filters, and groupings. You can also ask custom questions in your own words using the new ‘Ask Question’ button, exploring your spending patterns conversationally. Cost Explorer automatically updates charts and tables when analysis is based on your cost and usage data. When Amazon Q compiles insights from additional datasets such as pricing or anomaly detection, visualizations are displayed in Amazon Q’s new artifacts panel. You can continue the conversation with follow-up questions while maintaining full context, allowing you to go from a quick cost check to a deep investigation without switching tools or breaking your workflow.
Natural language cost analysis for AWS Cost Explorer is available today in all commercial AWS Regions at no additional charge. To learn more, visit AWS Cost Explorer. To get started, see the user guide.
Quelle: aws.amazon.com

Amazon FSx for OpenZFS is now available in the AWS Asia Pacific (Melbourne) Region

Customers can now create Amazon FSx for OpenZFS file systems in the AWS Asia Pacific (Melbourne) Region, providing fully managed shared file storage built on the OpenZFS file system. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, and is designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). To learn more about Amazon FSx for OpenZFS, visit our product page, and see the AWS Region Table for complete regional availability information.
Quelle: aws.amazon.com

AWS announces general availability of Smithy-Java client framework

AWS today announced the general availability of Smithy-Java, an open-source Java framework for generating type-safe clients and standalone classes from Smithy models. Smithy-Java addresses one of the most consistently requested capabilities from enterprise Smithy users: production-grade Java SDK generation. The framework allows you to generate clients from models and async patterns that increase cognitive load and maintenance burden for developers building modern Java applications.
Built on Java 21’s virtual threads, Smithy-Java provides a blocking-style API that is both simpler to use and competitive in performance with complex async alternatives. Key benefits include auto-generated type-safe clients from Smithy, protocol flexibility with runtime protocol swapping for gradual migration paths. The GA release includes the Java client code generator, support for AWS SigV4 and all major AWS protocols (AWS JSON, REST-JSON, REST-XML, AWS Query, and Smithy RPCv2-CBOR), standalone type code generation for sharing types across multiple services or data modeling, and a dynamic client that can call Smithy services without a codegen step.
The framework pioneers two architectural innovations: schema-driven serialization that reduces SDK size while improving performance, and binary decision diagrams (BDD) for endpoint rules resolution delivering significant latency improvements. Internal Amazon teams have already built complete services in weeks rather than months using Smithy-Java, with service teams depending on it internally. The framework is ideal for organizations invested in the Smithy ecosystem, teams requiring protocol-agnostic development, and developers building new services with generated server stubs.
To learn more, visit our blog post and follow the Smithy Java Quickstart guide.
Quelle: aws.amazon.com

Amazon WorkSpaces Personal now supports unique DNS names for PrivateLink

Amazon WorkSpaces Personal now provides unique, publicly resolvable Domain Name System (DNS) names for each AWS PrivateLink Virtual Private Cloud (VPC) endpoint, enabling enterprise customers to deploy WorkSpaces across multiple AWS VPCs and accounts without DNS resolution conflicts. Each interface VPC endpoint now receives a globally unique AWS-managed DNS name in addition to the previous generic DNS name that was shared across all endpoints. This enhancement enables customers to route traffic appropriately in multi-account environments with centralized DNS infrastructure. Customers can now deploy WorkSpaces Personal directories across different VPCs and AWS accounts while maintaining proper security isolation, eliminating the DNS name collision that previously prevented customers from using separate interface VPC endpoints across accounts. The publicly resolvable DNS names simplify configuration while maintaining security, as they resolve to private IP addresses accessible only from within the respective VPC. The unique DNS names are automatically managed by AWS throughout their lifecycle, requiring no additional Route 53 configuration or custom DNS management. This feature is available in all AWS regions where PrivateLink is available in Amazon WorkSpaces Personal. To learn more, see Amazon WorkSpaces PrivateLink documentation. For configuration details, refer to the WorkSpaces Administration Guide. Existing customers will automatically benefit from this enhancement, as the system maintains backward compatibility with previous DNS configurations.
Quelle: aws.amazon.com