Cloud Computing Köln

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