Starting today, AWS Elemental MediaConnect will support NDI® (Network Device Interface) outputs from MediaConnect flows. NDI is a high-quality and low-latency video connectivity technology, widely used in live production applications and supported by more than 500 hardware products and 300 software applications.

At launch, the MediaConnect support for NDI allows you to take an incoming transport stream source encoded as AVC or HEVC up to 1080p at 60FPS and output it as NDI High Bandwidth to a VPC. NDI enabled flows can simultaneously output NDI as well as transport stream-based outputs. NDI outputs will use the field-proven SpeedHQ codec and allow you to configure the quality between 100% and 200%. With NDI outputs, the process of connecting on-premises sources such as cameras for use in live cloud production is simpler to deploy, more scalable, and cost-effective using a pay-as-you-go pricing model.

NDI support is available in all regions where MediaConnect is currently deployed. For more information and details on pricing, please refer to the NDI documentation and the MediaConnect pricing page.

 

​Starting today, AWS Elemental MediaConnect will support NDI® (Network Device Interface) outputs from MediaConnect flows. NDI is a high-quality and low-latency video connectivity technology, widely used in live production applications and supported by more than 500 hardware products and 300 software applications. At launch, the MediaConnect support for NDI allows you to take an incoming transport stream source encoded as AVC or HEVC up to 1080p at 60FPS and output it as NDI High Bandwidth to a VPC. NDI enabled flows can simultaneously output NDI as well as transport stream-based outputs. NDI outputs will use the field-proven SpeedHQ codec and allow you to configure the quality between 100% and 200%. With NDI outputs, the process of connecting on-premises sources such as cameras for use in live cloud production is simpler to deploy, more scalable, and cost-effective using a pay-as-you-go pricing model. NDI support is available in all regions where MediaConnect is currently deployed. For more information and details on pricing, please refer to the NDI documentation and the MediaConnect pricing page.  

Today, AWS announced upgrades to the Amazon Q Business Slack and Teams integrations. The upgrades include the ability to create multiple Amazon Q Business integrations within a Slack workspace or Teams organization, free text feedback support, improved response and source formatting, and the support for larger file attachments with user queries.

With the support for multiple integrations, customers can now deploy and test up to ten integrations at a time in their Slack workspace or Teams organization and maintain separate integrations for testing, production, and different user groups. With the ability to monitor feedback, customers can review their users’ satisfaction and collect valuable feedback to help improve their applications’ performance and accuracy.

With the improvements to response and source formatting and larger file attachments, users can enjoy a more seamless experience when accessing Amazon Q Business in the context of their conversations and when sharing Amazon Q Business’s responses through Slack and Teams messages.

These new features are available on the Amazon Q Business Slack and Teams integrations in all regions where Amazon Q Business is available.

To learn more, visit the Amazon Q Business product page or review the documentation for detailed setup instructions and feature descriptions.
 

 

​Today, AWS announced upgrades to the Amazon Q Business Slack and Teams integrations. The upgrades include the ability to create multiple Amazon Q Business integrations within a Slack workspace or Teams organization, free text feedback support, improved response and source formatting, and the support for larger file attachments with user queries. With the support for multiple integrations, customers can now deploy and test up to ten integrations at a time in their Slack workspace or Teams organization and maintain separate integrations for testing, production, and different user groups. With the ability to monitor feedback, customers can review their users’ satisfaction and collect valuable feedback to help improve their applications’ performance and accuracy. With the improvements to response and source formatting and larger file attachments, users can enjoy a more seamless experience when accessing Amazon Q Business in the context of their conversations and when sharing Amazon Q Business’s responses through Slack and Teams messages. These new features are available on the Amazon Q Business Slack and Teams integrations in all regions where Amazon Q Business is available. To learn more, visit the Amazon Q Business product page or review the documentation for detailed setup instructions and feature descriptions.    

AWS Database Migration Service (DMS) Schema Conversion is a fully managed feature of DMS that automatically assesses and converts database schemas to formats compatible with AWS target database services. Today, we are excited to announce that Schema Conversion now supports conversions from IBM Db2 for z/OS to Amazon Relational Database Service (RDS) for Db2.

Using Schema Conversion, you can automatically convert database objects from your IBM Db2 for z/OS source to an Amazon RDS for Db2 target, including stored procedures, functions, views, and other database structures. This is especially valuable for mainframe migrations as it simplifies complex processes by resolving syntax differences and compatibility issues between environments. Schema Conversion also provides detailed assessment reports to help you plan and execute your migration effectively.

To learn more refer to using IBM Db2 z/OS as a source for AWS DMS Schema Conversion and using IBM Db2 for z/OS as a source for AWS DMS. For AWS DMS Schema Conversion regional availability, please refer to the AWS Region Table.
 

 

​AWS Database Migration Service (DMS) Schema Conversion is a fully managed feature of DMS that automatically assesses and converts database schemas to formats compatible with AWS target database services. Today, we are excited to announce that Schema Conversion now supports conversions from IBM Db2 for z/OS to Amazon Relational Database Service (RDS) for Db2. Using Schema Conversion, you can automatically convert database objects from your IBM Db2 for z/OS source to an Amazon RDS for Db2 target, including stored procedures, functions, views, and other database structures. This is especially valuable for mainframe migrations as it simplifies complex processes by resolving syntax differences and compatibility issues between environments. Schema Conversion also provides detailed assessment reports to help you plan and execute your migration effectively. To learn more refer to using IBM Db2 z/OS as a source for AWS DMS Schema Conversion and using IBM Db2 for z/OS as a source for AWS DMS. For AWS DMS Schema Conversion regional availability, please refer to the AWS Region Table.    

Today, we are announcing Terraform support for AWS Parallel Computing Service (PCS). Customers can now use Terraform to create and manage their PCS clusters.

PCS makes it easier to run and scale high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. PCS already supports managing your HPC environments through the AWS Management Console, AWS Command Line Interface (CLI), and AWS APIs. With this release, customers can now define and deploy their PCS infrastructure using the HashiCorp Terraform Infrastructure as Code (IaC) tool, and manage clusters through their existing Terraform workflows. This integration is enabled through the Terraform AWS Cloud Control Provider.

To get started with using Terraform with PCS, please refer to an example PCS implementation recipe, as well as the Terraform Provider documentation. To learn more about PCS overall, please refer to the service documentation.

 

​Today, we are announcing Terraform support for AWS Parallel Computing Service (PCS). Customers can now use Terraform to create and manage their PCS clusters.
PCS makes it easier to run and scale high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. PCS already supports managing your HPC environments through the AWS Management Console, AWS Command Line Interface (CLI), and AWS APIs. With this release, customers can now define and deploy their PCS infrastructure using the HashiCorp Terraform Infrastructure as Code (IaC) tool, and manage clusters through their existing Terraform workflows. This integration is enabled through the Terraform AWS Cloud Control Provider. To get started with using Terraform with PCS, please refer to an example PCS implementation recipe, as well as the Terraform Provider documentation. To learn more about PCS overall, please refer to the service documentation.  

Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, Amazon Keyspaces supports User Defined Types (UDTs) in Multi-Region. This enhancement allows you to use UDTs consistently across multiple AWS Regions, enabling global applications to maintain consistent data schemas. With Multi-Region UDT support, you can replicate UDT schemas automatically across Regions, maintain consistent data models across your global infrastructure, and scale your Cassandra-compatible applications across geographic boundaries. This feature builds upon the existing UDT capabilities in Amazon Keyspaces, maintaining the ability to use UDTs in primary keys and create nested data structures that match your real-world data hierarchies.

Multi-Region UDT support is now available in all commercial AWS Regions where Amazon Keyspaces is offered.

To learn more about implementing Multi-Region UDTs, visit the Amazon Keyspaces documentation.

 

​Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability. Today, Amazon Keyspaces supports User Defined Types (UDTs) in Multi-Region. This enhancement allows you to use UDTs consistently across multiple AWS Regions, enabling global applications to maintain consistent data schemas. With Multi-Region UDT support, you can replicate UDT schemas automatically across Regions, maintain consistent data models across your global infrastructure, and scale your Cassandra-compatible applications across geographic boundaries. This feature builds upon the existing UDT capabilities in Amazon Keyspaces, maintaining the ability to use UDTs in primary keys and create nested data structures that match your real-world data hierarchies. Multi-Region UDT support is now available in all commercial AWS Regions where Amazon Keyspaces is offered. To learn more about implementing Multi-Region UDTs, visit the Amazon Keyspaces documentation.  

Corretto 24 is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.

Corretto 24 is an OpenJDK 24 Feature Release, which will be supported through October, 2025.

OpenJDK 24 introduces enhanced performance with two new experimental features: the Generational Shenandoah garbage collector, designed to improve sustainable throughput, load-spike resilience, and memory utilization, and Compact Object Headers, designed to improve heap usage by shrinking object headers from between 96 and 128 bits down to 64 bits on 64-bit architectures. Additionally, this release includes Ahead-of-Time Class Loading & Linking, designed to improve startup time by making the classes of an application instantly available, Synchronize Virtual Threads without Pinning, designed to eliminate nearly all cases of virtual threads being pinned to platform threads, Quantum-Resistant Module-Lattice-Based Key Encapsulation Mechanism, designed to be secure against future quantum computing attacks. For more information about the features in OpenJDK 24, a detailed description can be found on its Project page. Amazon Corretto is distributed by Amazon under an open source license.

Click on the Corretto home page to download Corretto 24. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo.
 

 

​Corretto 24 is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Corretto 24 is an OpenJDK 24 Feature Release, which will be supported through October, 2025. OpenJDK 24 introduces enhanced performance with two new experimental features: the Generational Shenandoah garbage collector, designed to improve sustainable throughput, load-spike resilience, and memory utilization, and Compact Object Headers, designed to improve heap usage by shrinking object headers from between 96 and 128 bits down to 64 bits on 64-bit architectures. Additionally, this release includes Ahead-of-Time Class Loading & Linking, designed to improve startup time by making the classes of an application instantly available, Synchronize Virtual Threads without Pinning, designed to eliminate nearly all cases of virtual threads being pinned to platform threads, Quantum-Resistant Module-Lattice-Based Key Encapsulation Mechanism, designed to be secure against future quantum computing attacks. For more information about the features in OpenJDK 24, a detailed description can be found on its Project page. Amazon Corretto is distributed by Amazon under an open source license. Click on the Corretto home page to download Corretto 24. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo.    

Amplify Swift now supports sharing authentication state across multiple apps by leveraging keychain access groups. This new feature allows developers to manage a single authentication session across all Swift-based applications and extensions within the same access group. Developers can now configure Amplify to store authentication information in a shared keychain, with built-in support for migrating existing sessions.

Regardless of platform, users only need to sign in once to access any application or extension within the same access group. This feature is particularly valuable for developers creating families of Swift applications that require consistent authentication states across their ecosystem, including iOS, macOS, watchOS, and tvOS apps.

This capability is now available for all Swift applications using Amplify Swift.

To learn more about implementing shared authentication state using keychain access groups in your Swift applications, visit the Amplify documentation for keychain sharing in Swift.
 

 

​Amplify Swift now supports sharing authentication state across multiple apps by leveraging keychain access groups. This new feature allows developers to manage a single authentication session across all Swift-based applications and extensions within the same access group. Developers can now configure Amplify to store authentication information in a shared keychain, with built-in support for migrating existing sessions. Regardless of platform, users only need to sign in once to access any application or extension within the same access group. This feature is particularly valuable for developers creating families of Swift applications that require consistent authentication states across their ecosystem, including iOS, macOS, watchOS, and tvOS apps. This capability is now available for all Swift applications using Amplify Swift. To learn more about implementing shared authentication state using keychain access groups in your Swift applications, visit the Amplify documentation for keychain sharing in Swift.    

Amazon S3 Tables are now available in three additional AWS Regions: Asia Pacific (Mumbai), Canada (Central), and South America (São Paulo).

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets.

You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time.

S3 Tables are now generally available in fourteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.

 

​Amazon S3 Tables are now available in three additional AWS Regions: Asia Pacific (Mumbai), Canada (Central), and South America (São Paulo). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. You can use S3 Tables with AWS analytics services through the integration with Amazon SageMaker Lakehouse, as well as Apache Iceberg-compatible open source engines like Apache Spark and Apache Flink. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in fourteen AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, and documentation.  

AWS Deadline Cloud customers can now use Internet Protocol version 6 (IPv6) addresses, enabling you to run your render farms in IPv6-only or dual-stack environments. AWS Deadline Cloud is a fully managed service that helps customers render visual effects, animation, and other complex graphics workloads in the cloud. With the addition of IPv6 support, AWS Deadline Cloud enhances its networking capabilities, providing you with improved compatibility with modern network infrastructures.

The transition to IPv6 is essential due to the continued growth of the internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. By adopting IPv6 in AWS Deadline Cloud, you can ensure your rendering workflows are prepared for the future of internet connectivity, while still leveraging current IPv4-based setups.

IPv6 support is now available in all regions where the AWS Deadline Cloud is offered. To learn more about IPv6 support in AWS Deadline Cloud, see the AWS Deadline Documentation or visit the AWS Deadline product page.

 

​AWS Deadline Cloud customers can now use Internet Protocol version 6 (IPv6) addresses, enabling you to run your render farms in IPv6-only or dual-stack environments. AWS Deadline Cloud is a fully managed service that helps customers render visual effects, animation, and other complex graphics workloads in the cloud. With the addition of IPv6 support, AWS Deadline Cloud enhances its networking capabilities, providing you with improved compatibility with modern network infrastructures. The transition to IPv6 is essential due to the continued growth of the internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. By adopting IPv6 in AWS Deadline Cloud, you can ensure your rendering workflows are prepared for the future of internet connectivity, while still leveraging current IPv4-based setups. IPv6 support is now available in all regions where the AWS Deadline Cloud is offered. To learn more about IPv6 support in AWS Deadline Cloud, see the AWS Deadline Documentation or visit the AWS Deadline product page.  

You can now capture and review agent acknowledgements of performance evaluations within Contact Lens, ensuring that agents have reviewed evaluation feedback and understand performance expectations. Today, agents receive automated email notifications or tasks to review their performance evaluations. With this launch, agents can acknowledge their review of performance evaluations within the Connect UI, and add optional notes (e.g., “reviewed and accepted feedback on being more empathetic towards angry customers”). Managers can then track agent acknowledgements, to confirm that agents are regularly reviewing the feedback on performance evaluations for improving their performance.

This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

 

​You can now capture and review agent acknowledgements of performance evaluations within Contact Lens, ensuring that agents have reviewed evaluation feedback and understand performance expectations. Today, agents receive automated email notifications or tasks to review their performance evaluations. With this launch, agents can acknowledge their review of performance evaluations within the Connect UI, and add optional notes (e.g., “reviewed and accepted feedback on being more empathetic towards angry customers”). Managers can then track agent acknowledgements, to confirm that agents are regularly reviewing the feedback on performance evaluations for improving their performance. This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.