Monat: Juni 2026

Amazon RDS for SQL Server supports Bring Your Own Media

Amazon Relational Database Service (Amazon RDS) for SQL Server launches Bring Your Own Media (BYOM) for Microsoft SQL Server. With BYOM, customers who migrate SQL Server applications from on-premises environments can adopt a managed database service on AWS and reuse their existing Microsoft SQL Server licenses, including Software Assurance, through Microsoft’s License Mobility program. Amazon RDS provides a managed SQL Server database service that lowers operating costs with features such as high availability, automated backups and monitoring. BYOM helps customers who currently run Microsoft SQL Server on-premises, on other clouds, or as self-managed SQL Server on Amazon EC2, and want to adopt Amazon RDS and reuse their existing Microsoft SQL Server licenses. They no longer have to incur the cost of additional Microsoft SQL Server licenses, or wait for existing license agreements to expire to adopt RDS. Amazon RDS for SQL Server BYOM is integrated with AWS License Manager so customers can track their Microsoft SQL Server license usage across their AWS environment for licensing compliance. To learn more about how to set up RDS SQL Server database instances with BYOM, visit the Amazon RDS SQL Server User Guide. For BYOM pricing and regional availability, visit the Amazon RDS for SQL Server pricing page. 
Quelle: aws.amazon.com

AWS Cost and Usage Report 2.0 now supports Athena and Redshift integration

AWS today announced that AWS Cost and Usage Report 2.0 (CUR 2.0) provides new integration options with AWS Athena and AWS Redshift. This capability allows customers to analyze the data from their AWS CUR 2.0 in Amazon Simple Storage Service (Amazon S3) using standard SQL without building custom data warehouse solutions, bringing feature parity with CUR 1.0 integration options. With this launch, when customers select Athena or Redshift integration, CUR 2.0 exports are automatically delivered in the optimal format (Parquet, GZIP) for the chosen query engine. Each export includes the supporting metadata and automation resources needed to get started quickly, such as infrastructure templates, table definitions, and data loading instructions, so customers can begin querying their cost data without manual configuration. As CUR 2.0 data refreshes periodically, updates are automatically reflected in the Athena or Redshift tables with no additional ETL required. This feature is available in all commercial AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about this feature, see AWS Data Exports and AWS Billing and Cost Management in the AWS Cost Management User Guide.
Quelle: aws.amazon.com

Amazon ElastiCache for Valkey now supports durability

Today, AWS announces durability support for Amazon ElastiCache. Durability enables you to use ElastiCache for workloads that require microsecond read latency but cannot tolerate data loss. With durability support, ElastiCache now stores data durably across multiple Availability Zones (AZs) using a Multi-AZ transactional log to enable fast failover, database recovery, and node restarts to prevent data loss in the unlikely event of a failure.
You can choose between two durability options: synchronous and asynchronous writes. Synchronous writes persist data across at least two AZs before responding to the client, designed for zero data loss at single-digit millisecond write latency. Asynchronous writes persist data after responding to the client, maintaining microsecond write latency at no additional cost. However, up to 10 seconds of uncommitted data could be lost in the rare event of a failure. Both options maintain microsecond read latency. You can now use ElastiCache for a broader set of use cases beyond caching where data loss is unacceptable such as AI agent long-term memory, AI agent workflow state, knowledge bases for RAG applications, payment tokenization, and real-time inventory management.
Durability for ElastiCache is available in all AWS commercial Regions, AWS China Regions, and AWS GovCloud (US) Regions starting with Valkey 9.0. To get started, create a new ElastiCache cluster and select your preferred durability option using the AWS Management Console, AWS Software Development Kit (SDK), or AWS Command Line Interface (CLI). For pricing details, visit the Amazon ElastiCache pricing page. To learn more, visit the ElastiCache documentation and blog.  
Quelle: aws.amazon.com

Amazon SageMaker Studio now sets up in seconds with model customization ready from the start

Amazon SageMaker Studio quick setup now completes in under twenty seconds, reduced from over two minutes. Whether you are building ML pipelines, exploring data, developing with notebooks, or fine-tuning foundation models, you can go from sign-in to a fully configured Studio environment almost instantly. As part of this streamlined setup, newly created Studio environments now come with serverless model customization permissions automatically configured. A new managed policy, AmazonSageMakerModelCustomizationCoreAccess, is created and attached for you, providing permissions for serverless model customization jobs including fine-tuning with custom reward functions for reinforcement learning, model evaluation, and deployment to SageMaker or Bedrock endpoints. This eliminates the need to manually create and configure IAM roles and policies before you can start experimenting. For existing Studio environments, actionable messages with direct links to documentation guide you through adding these permissions. This feature is available in all AWS Commercial Regions where Amazon SageMaker Studio is supported. To get started, create a new Studio environment using quick setup in the SageMaker AI Console. To learn more, see Quick setup and Model Customization permissions setup in the Amazon SageMaker documentation.
Quelle: aws.amazon.com

AWS Deadline Cloud now supports persistent storage for Service Managed Fleets

AWS Deadline Cloud now supports persistent storage for Service-Managed Fleets (SMF), allowing you to maintain data across worker lifecycle events. AWS Deadline Cloud is a fully managed service that makes it easy for teams to run compute-intensive workloads in the cloud for visual effects, animation, product design, simulation, and gaming. Previously, Deadline Cloud SMF workers relied only on ephemeral storage, requiring software and assets to be reinstalled each time a worker was recycled or replaced. Now, Deadline Cloud attaches persistent Amazon Elastic Block Store (Amazon EBS) volumes to SMF workers, preserving Conda environments, Perforce workspaces, shader caches, and asset collections across worker lifecycle events. This reduces worker startup time and helps you complete jobs faster. You can configure the number of persistent volumes per worker and set a time-to-live (TTL) to control how long volumes are retained, giving you flexibility to balance storage costs with startup performance.  Persistent storage for SMF is available in all AWS Regions where Deadline Cloud is offered. Persistent volumes are priced the same as existing Service-Managed Fleets EBS pricing. See the Deadline Cloud pricing page for details. To learn more, visit the AWS Deadline Cloud product page or our user guide.
Quelle: aws.amazon.com