Kategorie: Amazon AWS

AWS Clean Rooms now supports parameters in PySpark analysis templates

AWS Clean Rooms announces support for parameters in PySpark analysis templates, offering increased flexibility for organizations and their partners to scale their privacy-enhanced data collaboration use cases. With this launch, you can create a single PySpark analysis template that allows different values to be provided by the Clean Rooms collaborator running a job at submission time without modifying the template code. With parameters in PySpark analysis templates, the code author creates a PySpark template with parameters support, and if approved to run, the job runner submits parameter values directly to the PySpark job. For example, a measurement company running attribution analysis for advertising campaigns can input time windows and geographic regions dynamically to surface insights that drive campaign optimizations and media planning accelerating time-to-insights.
With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Quelle: aws.amazon.com

Amazon S3 on Outposts is now available on second-generation AWS Outposts racks

Amazon S3 on Outposts is now available on second-generation AWS Outposts racks for your data residency, low latency, and local data processing use cases on-premises. S3 on Outposts on second-generation Outposts racks offers three storage tiers: 196 TB, 490 TB, and 786 TB. Choose the storage tier that matches your workload, whether for production workloads, backups, or archival workloads. With S3 on Outposts, you can store, secure, retrieve, and control access to your data using familiar S3 APIs and features. AWS Outposts is a fully managed service that extends AWS infrastructure, services, and tools to virtually any data center, co-location space, or on-premises facility for a consistent hybrid experience. S3 on Outposts on second-generation Outposts racks is available in all AWS Regions and countries/territories where these racks are available. To learn more, visit the S3 on Outposts page or read our documentation.
Quelle: aws.amazon.com

Amazon Redshift Serverless adds queue-based query resource management

Amazon Redshift Serverless introduces queue-based query resource management. You can create dedicated query queues with customized monitoring rules for different workloads. This feature provides granular control over resource usage. Queues let you set metrics-based predicates and automated responses. For example, you can configure rules to automatically abort queries that exceed time limits or consume too many resources. Previously, Query Monitoring Rules (QMR) were applied only at the Redshift Serverless workgroup level, affecting all queries run in this workgroup uniformly. The new queue-based approach lets you create queues with distinct monitoring rules. You can assign these queues to specific user roles and query groups. Each queue operates independently, with rules affecting only the queries within that queue. The available monitoring metrics can be found in Query monitoring metrics for Amazon Redshift Serverless. This feature is available in all AWS regions that support Amazon Redshift Serverless. You can manage QMR with queues through the AWS Console and Redshift APIs. For implementation details, see the documentation in the Amazon Redshift management guide.
Quelle: aws.amazon.com

Amazon RDS now supports the latest CU and GDR updates for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2016 SP3+GDR KB5068401 (RDS version 13.00.6475.1.v1), SQL Server 2017 CU31+GDR KB5068402 (RDS version 14.00.3515.1.v1), SQL Server 2019 CU32+GDR KB5068404 (RDS version 15.00.4455.2.1.v1) and SQL Server 2022 CU22 KB5068450 (RDS version 16.00.4225.2.1.v1). The GDR updates address vulnerabilities described in CVE-2025-59499. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5068401, KB5068402, KB5068404, KB5068450. We recommend that you upgrade your Amazon RDS for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine.
Quelle: aws.amazon.com

Amazon RDS Custom now supports the latest GDR updates for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for SQL Server 2019 CU32+GDR KB5068404 (RDS version 15.00.4455.2.1.v1) and SQL Server 2022 CU21+GDR KB5068406 (RDS version 16.00.4222.2.1.v1). The GDR updates address vulnerabilities described in CVE-2025-59499. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5068404 and KB5068406. We recommend that you upgrade your Amazon RDS Custom for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS Custom User Guide.
Quelle: aws.amazon.com

Amazon Connect now provides agent scheduling metrics in data lake

Amazon Connect now provides agent scheduling metrics in data lake, making it easier for you to generate reports and insights from this data. For example, after publishing schedules for next month, you can access interval level (15 minutes or 30 minutes) metrics such as forecasted headcount, scheduled headcount, and projected service level in Connect analytics data lake. You can view aggregated metrics for an entire business unit (forecast group) or broken down by specific demand segments (demand groups). You can then visualize this data in Amazon Quick Sight or another BI tool of your choice for further analysis, such as identifying periods of over or under-staffing. This eliminates the need for manual reviews of agent schedules thus improving productivity for schedulers and supervisors. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.
Quelle: aws.amazon.com

AWS Transform custom adds AWS PrivateLink support and expands to Europe (Frankfurt) Region

AWS Transform custom now supports AWS PrivateLink and is available in a new AWS Region, Europe (Frankfurt), in addition to the US East (N. Virginia) Region. AWS Transform custom helps organizations reduce technical debt by automating repetitive transformation tasks such as language version upgrades, API migrations, and framework updates. The agent is designed for enterprise development teams and consulting partners who need to execute consistent, repeatable code transformations across large codebases. With AWS Transform custom, teams can create custom transformation definitions using natural language, documentation, and code samples, or use AWS-managed transformations for common scenarios including Java, Python, and Node.js version upgrades. Through continual learning, the service improves transformation quality with every execution over time. With AWS PrivateLink support, customers can now access AWS Transform custom from their Amazon VPC without routing traffic over the public internet, helping meet security and compliance requirements. To learn more about AWS Transform custom, visit the product page and user guide.
Quelle: aws.amazon.com

Amazon Bedrock introduces API keys to streamline development in GovCloud regions

API keys for Amazon Bedrock are now available in AWS GovCloud (US) regions, expanding a feature that simplifies authentication and accelerates generative AI development. Originally launched in commercial AWS regions in July 2025, API keys for Amazon Bedrock enable developers to quickly generate access credentials directly within the Amazon Bedrock console or AWS SDK without needing to manually configure IAM principals and policies. With the introduction of API keys for Amazon Bedrock, developers can generate short-term and long-term API keys directly from the Amazon Bedrock console or API to authenticate API calls to Amazon Bedrock models. Short-term API keys are valid for the duration of your console session, or up to 12 hours, whichever is shorter. Long-term API keys give you the flexibility to define key validity duration and manage the keys from the AWS IAM console. Bedrock API key authentication is now available in the AWS GovCloud (US) and commercial AWS Regions where Amazon Bedrock is available. To learn more about API keys in Amazon Bedrock, visit the API Keys documentation in the Amazon Bedrock user guide, or check out our blog for code snippets and implementation examples.
Quelle: aws.amazon.com

Amazon VPC Route Server now available in new regions

Amazon VPC Route Server is now available in 16 new regions in addition to the 14 existing ones. VPC Route Server simplifies dynamic routing between virtual appliances in your Amazon VPC. It allows you to advertise routing information through Border Gateway Protocol (BGP) from virtual appliances and dynamically update the VPC route tables associated with subnets and internet gateway. With this launch, Amazon VPC Route Server is available in 30 AWS Regions: US East (Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), US West (N. California), Canada West (Calgary), Asia Pacific (Malaysia), Europe (Milan), Europe (Paris), Asia Pacific (Sydney), Europe (London), Canada (Central), Mexico (Central), South America (Sao Paulo),Asia Pacific (Seoul), Europe (Zurich), Europe (Stockholm), Middle East (UAE), Israel (Tel Aviv), Asia Pacific (Taipei), Asia Pacific (New Zealand), Asia Pacific (Melbourne), Middle East (Bahrain), Asia Pacific (Jakarta), Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Osaka) and Asia Pacific (Thailand). To learn more about Amazon VPC Route Server, visit this page.
Quelle: aws.amazon.com

Amazon Connect makes it easier to manage recurring overrides for hours of operation

Amazon Connect now makes it easier to manage contact center operating hours for recurring events like holidays, maintenance windows, and promotional periods, with a visual calendar that provides at-a-glance visibility by day, month, or year. You can set up recurring overrides that automatically take effect weekly, monthly, or every other Friday, and use them to provide customers with personalized experiences, all without having to manually revisit configurations. For example, every January 1st you can automatically greet customers with “Happy New Year!” and route them to a special holiday message before checking if agents are available, then on January 2nd your contact center automatically returns to normal operations. These additional hours of operation override capabilities are available in all AWS regions where Amazon Connect is available and offer public API and AWS CloudFormation support. To learn more, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, please visit the Amazon Connect website.
Quelle: aws.amazon.com