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.  

AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, and AD Connector are now available in the AWS Mexico – Central and in Thailand region.

Built on actual Microsoft Active Directory (AD), AWS Managed Microsoft AD enables you to migrate AD-aware applications while reducing the work of managing AD infrastructure in the AWS Cloud. You can use your Microsoft AD credentials to domain join EC2 instances, and also manage containers and Kubernetes clusters. You can keep your identities in your existing Microsoft AD or create and manage identities in your AWS managed directory.

AD Connector is a proxy that enables AWS applications to use your existing on-premises AD identities without requiring AD infrastructure in the AWS Cloud. You can also use AD Connector to join Amazon EC2 instances to your on-premises AD domain and manage these instances using your existing group policies.

Please see all AWS Regions where AWS Managed Microsoft AD and AD Connector are available. To learn more, see AWS Directory Service.
 

​AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, and AD Connector are now available in the AWS Mexico – Central and in Thailand region. Built on actual Microsoft Active Directory (AD), AWS Managed Microsoft AD enables you to migrate AD-aware applications while reducing the work of managing AD infrastructure in the AWS Cloud. You can use your Microsoft AD credentials to domain join EC2 instances, and also manage containers and Kubernetes clusters. You can keep your identities in your existing Microsoft AD or create and manage identities in your AWS managed directory. AD Connector is a proxy that enables AWS applications to use your existing on-premises AD identities without requiring AD infrastructure in the AWS Cloud. You can also use AD Connector to join Amazon EC2 instances to your on-premises AD domain and manage these instances using your existing group policies. Please see all AWS Regions where AWS Managed Microsoft AD and AD Connector are available. To learn more, see AWS Directory Service.    

Today, AWS announced support for 24 additional AWS services in the AWS Console Mobile App. AWS customers using the AWS Console Mobile App can now access 24 additional AWS services including Service Quotas, CloudFront, Amazon SES, AWS Cloud9, and AWS Batch via an integrated mobile web browser experience in the AWS Console Mobile App.

AWS customers who are on-the-go can use the AWS Console Mobile App to access a select set of native and in-app browser supported services. Customers benefit from the AWS Console Mobile App’s biometric authentication (sign-in), and mobile optimized customer experience. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser.

Visit the product page for more information about the Console Mobile App, including a full list of supported services and regions.
 

​Today, AWS announced support for 24 additional AWS services in the AWS Console Mobile App. AWS customers using the AWS Console Mobile App can now access 24 additional AWS services including Service Quotas, CloudFront, Amazon SES, AWS Cloud9, and AWS Batch via an integrated mobile web browser experience in the AWS Console Mobile App. AWS customers who are on-the-go can use the AWS Console Mobile App to access a select set of native and in-app browser supported services. Customers benefit from the AWS Console Mobile App’s biometric authentication (sign-in), and mobile optimized customer experience. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser. Visit the product page for more information about the Console Mobile App, including a full list of supported services and regions.    

AWS has enhanced Payment Profiles to allow customers to select their preferred currency for each AWS service provider (seller of record). This new capability builds upon the existing ability to set different payment methods per service provider, giving you more control over your currency preferences.

With Payment Profiles you can now customize both payment methods and currencies for each AWS service provider. For example, you can select to pay one AWS service provider in USD and another in EUR, aligning your AWS payment preferences with your business needs. If you prefer not to create specific Payment Profiles, AWS will continue using your default payment preferences.

This feature is now generally available to all AWS customers worldwide.

To start managing your currency preferences with Payment Profiles, visit the Payment Preferences page in the AWS Billing and Cost Management Console. For more information about configuring Payment Profiles, visit Using payment profiles.

​AWS has enhanced Payment Profiles to allow customers to select their preferred currency for each AWS service provider (seller of record). This new capability builds upon the existing ability to set different payment methods per service provider, giving you more control over your currency preferences. With Payment Profiles you can now customize both payment methods and currencies for each AWS service provider. For example, you can select to pay one AWS service provider in USD and another in EUR, aligning your AWS payment preferences with your business needs. If you prefer not to create specific Payment Profiles, AWS will continue using your default payment preferences. This feature is now generally available to all AWS customers worldwide. To start managing your currency preferences with Payment Profiles, visit the Payment Preferences page in the AWS Billing and Cost Management Console. For more information about configuring Payment Profiles, visit Using payment profiles.  

The post El nuevo Copilot for Gaming tiene como objetivo ahorrarles tiempo y ayudarlos a ser buenos appeared first on Source LATAM.

​The post El nuevo Copilot for Gaming tiene como objetivo ahorrarles tiempo y ayudarlos a ser buenos appeared first on Source LATAM.  

Amazon Bedrock RAG evaluation is now generally available. You can evaluate your retrieval-augmented generation (RAG) applications, either those built on Amazon Bedrock Knowledge Bases or a custom RAG system. You can evaluate either retrieval or end-to-end generation. Evaluations are powered by an LLM-as-a-judge, with a choice of several judge models. For retrieval, you can select from metrics such as context relevance and coverage. For end-to-end retrieve and generation, you can select from quality metrics such as correctness, completeness, and faithfulness (hallucination detection), and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. You can also compare across evaluation jobs to iterate on your Knowledge Bases or custom RAG applications with different settings like chunking strategy or vector length, rerankers, or different content generating models.

*Brand new – more flexibility!* As of today, in addition to Bedrock Knowledge Bases, Amazon Bedrock’s RAG evaluations supports custom RAG pipeline evaluations. Customers evaluating custom RAG pipelines can now bring their input-output pairs and retrieved contexts into the evaluation job directly in their input dataset, enabling them to bypass the call to a Bedrock Knowledge Base («bring your own inference responses»). We also added citation precision and citation coverage metrics for Bedrock Knowledge Bases evaluation. If you use a Bedrock Knowledge Base as part of your evaluation, you can incorporate Amazon Bedrock Guardrails directly.

To learn more, visit the Amazon Bedrock Evaluations page and documentation. To get started, log into the Amazon Bedrock Console or use the Amazon Bedrock APIs.
 

​Amazon Bedrock RAG evaluation is now generally available. You can evaluate your retrieval-augmented generation (RAG) applications, either those built on Amazon Bedrock Knowledge Bases or a custom RAG system. You can evaluate either retrieval or end-to-end generation. Evaluations are powered by an LLM-as-a-judge, with a choice of several judge models. For retrieval, you can select from metrics such as context relevance and coverage. For end-to-end retrieve and generation, you can select from quality metrics such as correctness, completeness, and faithfulness (hallucination detection), and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. You can also compare across evaluation jobs to iterate on your Knowledge Bases or custom RAG applications with different settings like chunking strategy or vector length, rerankers, or different content generating models. *Brand new – more flexibility!* As of today, in addition to Bedrock Knowledge Bases, Amazon Bedrock’s RAG evaluations supports custom RAG pipeline evaluations. Customers evaluating custom RAG pipelines can now bring their input-output pairs and retrieved contexts into the evaluation job directly in their input dataset, enabling them to bypass the call to a Bedrock Knowledge Base («bring your own inference responses»). We also added citation precision and citation coverage metrics for Bedrock Knowledge Bases evaluation. If you use a Bedrock Knowledge Base as part of your evaluation, you can incorporate Amazon Bedrock Guardrails directly. To learn more, visit the Amazon Bedrock Evaluations page and documentation. To get started, log into the Amazon Bedrock Console or use the Amazon Bedrock APIs.