Amazon EC2 Auto Scaling now supports Internet Protocol Version 6 (IPv6)

Amazon EC2 Auto Scaling (ASG) now supports Internet Protocol Version 6 (IPv6), enabling dual-stack configuration (IPv4 and IPv6) connectivity for your Auto Scaling groups. IPv6 enables an expanded address space, enabling you to scale your application on AWS beyond the typical constraints of the number of IPv4 addresses in your VPC. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. IPv6 support is available in all commercial AWS regions (except New Zealand) and GovCloud regions where ASG is available. To learn more about configuring your network to use IPv6 endpoints, see the documentation.
Quelle: aws.amazon.com

Local file redirection is now available on Amazon AppStream 2.0 multi-session fleets

Amazon AppStream 2.0 is enhancing the end-user experience by introducing support for local files redirection on multi-session fleets. While this feature is already available on single-session fleets, this launch extends it to multi-session fleets, helping administrators to leverage the cost benefits of the multi-session model while providing an enhanced end-user experience. Local file redirection on AppStream helps deliver benefits by enabling seamless access to local files directly from streaming applications, enhancing user productivity and experience. This feature reduces the need for manual file uploads and downloads, providing a natural, desktop-like experience with intuitive drag-and-drop functionality. Users can more efficiently manage their workflows while helping to maintain security through controlled access to local resources and secure file handling between environments. This feature is available at no additional cost in all the AWS Regions where Amazon AppStream 2.0 is available. AppStream 2.0 offers pay-as-you go pricing. To get started with AppStream 2.0, see Getting Started with Amazon AppStream 2.0. To enable this feature for your users, you must use an AppStream 2.0 image that uses latest AppStream 2.0 agent or has been updated using Managed AppStream 2.0 image updates released on or after September 05, 2025.
Quelle: aws.amazon.com

AWS WAF Targeted Bot Control, Fraud & DDoS Prevention Rule Group available in 3 more regions

Starting today, AWS WAF’s Targeted Bot Control, Fraud, and DDoS Prevention Rule Group are available in the AWS Asia Pacific (Taipei), Asia Pacific (Bangkok), and Mexico (Central) regions. These features help customers to stay protected against sophisticated bots, application layer DDoS and account takeover attacks.
AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.
To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. For more information about the service, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page.
Quelle: aws.amazon.com

Amazon RDS for Db2 now offers Reserved Instances

Amazon Relational Database Service (RDS) for Db2 now offers Reserved Instances with up to 47% cost savings compared to On-Demand prices. The option to use Reserved Instances is available for all supported instance types. Amazon RDS for Db2 Reserved Instances provide size flexibility for both Bring Your Own License (BYOL) and Db2 license purchased through AWS Marketplace. With Reserved Instances size flexibility, the discounted rate for Reserved Instances automatically applies to usage of any size in the same instance family. For example, if you purchase a db.r7i.2xlarge Reserved Instance in US East (N. Virginia), the discounted rate of this Reserved Instance can automatically apply to 2 db.r7i.xlarge instances. For information on RDS Reserved Instances, refer to Reserved DB instances for Amazon RDS. You can purchase Reserved Instances through the AWS Management Console, AWS CLI, or AWS SDK. For detailed pricing information and purchase options, refer to Amazon RDS for Db2 Pricing.
Quelle: aws.amazon.com

Amazon MSK Connect is now available in five additional AWS Regions

Amazon MSK Connect is now available in five additional AWS Regions: Asia Pacific (Thailand), Asia Pacific (Taipei), Mexico (Central), Canada West (Calgary), and Europe (Spain). MSK Connect enables you to run fully managed Kafka Connect clusters with Amazon Managed Streaming for Apache Kafka (Amazon MSK). With a few clicks, MSK Connect allows you to easily deploy, monitor, and scale connectors that move data in and out of Apache Kafka and Amazon MSK clusters from external systems such as databases, file systems, and search indices. MSK Connect eliminates the need to provision and maintain cluster infrastructure. Connectors scale automatically in response to increases in usage and you pay only for the resources you use. With full compatibility with Kafka Connect, it is easy to migrate workloads without code changes. MSK Connect will support both Amazon MSK-managed and self-managed Apache Kafka clusters. You can get started with MSK Connect from the Amazon MSK console or the Amazon CLI. Visit the AWS Regions page for all the regions where Amazon MSK is available. To get started visit, the MSK Connect product page, pricing page, and the Amazon MSK Developer Guide.
Quelle: aws.amazon.com

AWS Clean Rooms supports incremental ID mapping with AWS Entity Resolution

AWS Clean Rooms now supports incremental processing of rule-based ID mapping workflows with AWS Entity Resolution. This helps you perform real-time data synchronization across collaborators’ datasets with the privacy-enhancing controls of AWS Clean Rooms. With this launch, you can populate ID mapping tables in a Clean Rooms collaboration with only the new, modified, or deleted records since the last analysis. Data collaborators can enable incremental processing for rule-based ID mapping workflows in AWS Entity Resolution, and then update an existing ID mapping table in a collaboration. For example, a measurement provider can maintain up-to-date offline purchase data in a collaboration with an advertiser and a publisher, enabling always-on measurement of campaign outcomes, reduced costs, and maintained privacy controls for all collaboration members. AWS Entity Resolution is natively integrated within AWS Clean Rooms to help you and your partners more easily prepare and match related customer records. Using rule-based or data service provider-based matching can help you improve data matching for enhanced advertising campaign planning, targeting, and measurement. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about AWS Clean Rooms, visit AWS Clean Rooms.
Quelle: aws.amazon.com

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region

Amazon Neptune Analytics is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that’s stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page.
Quelle: aws.amazon.com

Amazon EC2 C8gn instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS Region Europe (Frankfurt, Stockholm), Asia Pacific (Singapore). The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore) To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
Quelle: aws.amazon.com

Amazon Redshift Concurrency Scaling is now available in 10 additional AWS regions

Amazon Redshift Concurrency Scaling is now available in the AWS Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Osaka), Asia Pacific (Thailand), Europe (Milan), Middle East (Bahrain), Mexico (Central) and AWS GovCloud (US-West) regions. With the Amazon Redshift Concurrency Scaling feature, you can now support thousands of concurrent users and concurrent queries, with consistently fast query performance. Amazon Redshift Concurrency Scaling elastically scales query processing power to provide consistently fast performance for hundreds of concurrent queries. Concurrency Scaling resources are added to your Redshift cluster transparently in seconds, allowing for increased concurrency to process queries with minimal wait time. Amazon Redshift customers with an active Redshift cluster earn up to one hour of free Concurrency Scaling credits, which is sufficient for the concurrency needs of most customers. Concurrency scaling enables you to specify usage control, providing customers with predictable month-to-month costs, even during periods of fluctuating analytical demand. To enable Amazon Redshift Concurrency Scaling, set the Concurrency Scaling Mode to Auto in your Amazon Web Services Management Console. You can allocate Concurrency Scaling usage to specific user groups and workloads, control the number of Concurrency Scaling clusters that can be used, and monitor Amazon CloudWatch performance and usage metrics. To learn more about concurrency scaling including regional-availability, see our documentation and pricing page.
Quelle: aws.amazon.com

You can now preview Amazon S3 Tables in the S3 console

You can now preview your Amazon S3 Tables directly in the S3 console without having to write a SQL query. You can view the schema and sample rows of your tables stored in S3 Tables to better understand and gather key information about your data quickly, without any setup.
You can preview tables in the S3 console in all AWS Regions where S3 Tables are available. You only pay for S3 requests to read a portion of your table. See Amazon S3 pricing and the S3 User Guide for pricing details and to learn more.
Quelle: aws.amazon.com