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.

 

​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.  

AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instances without specialized knowledge or manual analysis.

Compute Optimizer has expanded support to include the latest generation Compute Optimized (C8gn, C8gd), General Purpose (M8i, M8i-flex, M8gd), Memory Optimized (R8i, R8i-flex, R8gd), and Storage Optimized (I8ge) instance types. This expansion enables Compute Optimizer to help you take advantage of the price-to-performance improvements offered by the newest instance types.

This new feature is available in all AWS Regions where Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using Compute Optimizer through the AWS Management Console, AWS CLI, or AWS SDK.

 

​AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instances without specialized knowledge or manual analysis. Compute Optimizer has expanded support to include the latest generation Compute Optimized (C8gn, C8gd), General Purpose (M8i, M8i-flex, M8gd), Memory Optimized (R8i, R8i-flex, R8gd), and Storage Optimized (I8ge) instance types. This expansion enables Compute Optimizer to help you take advantage of the price-to-performance improvements offered by the newest instance types. This new feature is available in all AWS Regions where Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using Compute Optimizer through the AWS Management Console, AWS CLI, or AWS SDK.  

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.

 

​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.  

Amazon Elastic Block Store (Amazon EBS) now supports higher volume-level limits for its General Purpose (gp3) volumes. With this update, gp3 volumes can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit).

These expanded limits help reduce operational complexity for storage-intensive workloads by enabling gp3 volumes with larger capacity and higher performance. You can consolidate multiple striped volumes into a single gp3 volume, streamline architectures, and lower management overhead. The increased limits particularly benefit customers running containerized workloads with limited support for striping multiple volumes, applications that rely on single-volume architectures, and growing workloads approaching current gp3 limits. The pricing model remains unchanged: you pay for storage plus any additional IOPS and throughput provisioned beyond the baseline performance.

The new gp3 limits are available in all AWS Commercial Regions and AWS GovCloud (US) Regions where gp3 volumes are available. To get started and learn more, please visit the Amazon EBS user guide.

 

​Amazon Elastic Block Store (Amazon EBS) now supports higher volume-level limits for its General Purpose (gp3) volumes. With this update, gp3 volumes can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit). These expanded limits help reduce operational complexity for storage-intensive workloads by enabling gp3 volumes with larger capacity and higher performance. You can consolidate multiple striped volumes into a single gp3 volume, streamline architectures, and lower management overhead. The increased limits particularly benefit customers running containerized workloads with limited support for striping multiple volumes, applications that rely on single-volume architectures, and growing workloads approaching current gp3 limits. The pricing model remains unchanged: you pay for storage plus any additional IOPS and throughput provisioned beyond the baseline performance. The new gp3 limits are available in all AWS Commercial Regions and AWS GovCloud (US) Regions where gp3 volumes are available. To get started and learn more, please visit the Amazon EBS user guide.  

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.

 

​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.  

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.

 

​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.  

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.

 

​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.  

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.

 

​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.  

Today, AWS announces the general availability of new capabilities within AWS Billing and Cost Management that enable customers to manage their AWS spend across multiple organizations through a single AWS account. Customers can now share custom billing views containing cost management data with other AWS accounts outside their organization. Additionally, customers can combine multiple custom billing views to create new consolidated views. These features enable FinOps teams to create custom billing views containing cost management data for multiple organizations. These views can then be used to access cost management data across multiple organizations through Cost Explorer or set up budgets to monitor AWS costs.

With the new custom billing view capabilities, you can create consolidated views of cost management data spanning multiple organizations that can be accessed using AWS Cost Explorer and AWS Budgets, allowing you to monitor, analyze, and forecast spending patterns across multiple organizations. This helps customers operating multiple subsidiaries or business units as separate organizations on AWS manage their AWS spend through a single AWS account.

Support for custom billing views containing cost management data for multiple organizations is available in all AWS Regions, excluding AWS GovCloud Regions and the AWS China Regions. To get started with custom billing views, visit Billing View within the Cost Management Preferences page in the AWS Billing and Cost Management console and create a new custom billing view. To get started visit the Billing View user guide.

 

​Today, AWS announces the general availability of new capabilities within AWS Billing and Cost Management that enable customers to manage their AWS spend across multiple organizations through a single AWS account. Customers can now share custom billing views containing cost management data with other AWS accounts outside their organization. Additionally, customers can combine multiple custom billing views to create new consolidated views. These features enable FinOps teams to create custom billing views containing cost management data for multiple organizations. These views can then be used to access cost management data across multiple organizations through Cost Explorer or set up budgets to monitor AWS costs.
With the new custom billing view capabilities, you can create consolidated views of cost management data spanning multiple organizations that can be accessed using AWS Cost Explorer and AWS Budgets, allowing you to monitor, analyze, and forecast spending patterns across multiple organizations. This helps customers operating multiple subsidiaries or business units as separate organizations on AWS manage their AWS spend through a single AWS account.
Support for custom billing views containing cost management data for multiple organizations is available in all AWS Regions, excluding AWS GovCloud Regions and the AWS China Regions. To get started with custom billing views, visit Billing View within the Cost Management Preferences page in the AWS Billing and Cost Management console and create a new custom billing view. To get started visit the Billing View user guide.  

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.

 

​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.