We are excited to announce the launch of disk-optimized vector support for Amazon OpenSearch Serverless, offering customers a cost-effective solution for vector search operations without compromising on accuracy and recall rates. This new feature enables organizations to implement high-quality vector search capabilities while significantly reducing operational costs.

With the introduction of Disk Optimized Vectors, customers can now choose between memory-optimized and disk-optimized vector storage options. The disk-optimized option delivers the same high accuracy and recall rates as memory-optimized vectors at lower cost. While this option may introduce slightly higher latency, it’s ideal for use cases where sub-millisecond response times aren’t critical such as semantic search applications, recommendation systems, and other AI-powered search scenarios.

Amazon OpenSearch Serverless, our fully managed deployment option, eliminates the complexities of infrastructure management for search and analytics workloads. The service automatically scales compute capacity, measured in OpenSearch Compute Units (OCUs), based on your workload demands.

Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.

​We are excited to announce the launch of disk-optimized vector support for Amazon OpenSearch Serverless, offering customers a cost-effective solution for vector search operations without compromising on accuracy and recall rates. This new feature enables organizations to implement high-quality vector search capabilities while significantly reducing operational costs. With the introduction of Disk Optimized Vectors, customers can now choose between memory-optimized and disk-optimized vector storage options. The disk-optimized option delivers the same high accuracy and recall rates as memory-optimized vectors at lower cost. While this option may introduce slightly higher latency, it’s ideal for use cases where sub-millisecond response times aren’t critical such as semantic search applications, recommendation systems, and other AI-powered search scenarios. Amazon OpenSearch Serverless, our fully managed deployment option, eliminates the complexities of infrastructure management for search and analytics workloads. The service automatically scales compute capacity, measured in OpenSearch Compute Units (OCUs), based on your workload demands.
Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.  

AWS Step Functions adds supports for IPv6. You can now send IPV6 traffic to AWS Step Functions via new dual-stack IPv4 and IPv6 endpoints. AWS Step Functions is a visual workflow service that enables customers to build distributed applications, automate IT and business processes, and build data and machine learning pipelines using AWS services. This enhancement addresses the growing need for IP addresses as the internet continues to expand, providing a larger address space than the traditional IPv4 format.

With IPv6 support, organizations modernizing their applications can now build serverless workflows without being constrained by limited IPv4 address space. The new dual-stack endpoints support both IPv4 and IPv6 protocols while maintaining backwards compatibility with existing IPv4 endpoints. Step Functions also supports IPv6 connectivity through PrivateLink interface Virtual Private Cloud (VPC) endpoints, enabling you to access the service privately without traversing the public internet. This enables organizations operating in IPv6 environments to natively integrate with Step Functions without requiring complex translation mechanisms between IPv6 and IPv4.

IPv6 support for AWS Step Functions is now generally available in US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California) as well as AWS GovCloud (US-East), and AWS GovCloud (US-West) Regions, where AWS Step Functions is available.

To learn more about IPv6 support on AWS, visit the documentation page.

​AWS Step Functions adds supports for IPv6. You can now send IPV6 traffic to AWS Step Functions via new dual-stack IPv4 and IPv6 endpoints. AWS Step Functions is a visual workflow service that enables customers to build distributed applications, automate IT and business processes, and build data and machine learning pipelines using AWS services. This enhancement addresses the growing need for IP addresses as the internet continues to expand, providing a larger address space than the traditional IPv4 format. With IPv6 support, organizations modernizing their applications can now build serverless workflows without being constrained by limited IPv4 address space. The new dual-stack endpoints support both IPv4 and IPv6 protocols while maintaining backwards compatibility with existing IPv4 endpoints. Step Functions also supports IPv6 connectivity through PrivateLink interface Virtual Private Cloud (VPC) endpoints, enabling you to access the service privately without traversing the public internet. This enables organizations operating in IPv6 environments to natively integrate with Step Functions without requiring complex translation mechanisms between IPv6 and IPv4. IPv6 support for AWS Step Functions is now generally available in US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California) as well as AWS GovCloud (US-East), and AWS GovCloud (US-West) Regions, where AWS Step Functions is available. To learn more about IPv6 support on AWS, visit the documentation page.  

Amazon SageMaker HyperPod now supports managed node autoscaling using Karpenter, enabling customers to automatically scale their clusters to meet dynamic inference and training demands. Real-time inference workloads require automatic scaling to address unpredictable traffic patterns and maintain service level agreements, while optimizing costs. However, organizations often struggle with the operational overhead of installing, configuring, and maintaining complex autoscaling solutions. HyperPod-managed node autoscaling eliminates the undifferentiated heavy lifting of Karpenter setup and maintenance, while providing integrated resilience and fault tolerance capabilities.

Autoscaling on HyperPod with Karpenter enables customers to achieve just-in-time provisioning that rapidly adapts GPU compute for inference traffic spikes. Customers can scale to zero nodes during low-demand periods without maintaining dedicated controller infrastructure and benefit from workload-aware node selection that optimizes instance types and costs. For inference workloads, this provides automatic capacity scaling to handle production traffic bursts, cost reduction through intelligent node consolidation during idle periods, and seamless integration with event-driven pod autoscalers like KEDA. Training workloads also benefit from automatic resource optimization during model development cycles. You can enable autoscaling on HyperPod using the UpdateCluster API with AutoScaling mode set to «Enable» and AutoScalerType set to «Karpenter».

This feature is available in all AWS Regions where Amazon SageMaker HyperPod EKS clusters are supported. To learn more about autoscaling on SageMaker HyperPod with Karpenter, see the user guide and blog.

​Amazon SageMaker HyperPod now supports managed node autoscaling using Karpenter, enabling customers to automatically scale their clusters to meet dynamic inference and training demands. Real-time inference workloads require automatic scaling to address unpredictable traffic patterns and maintain service level agreements, while optimizing costs. However, organizations often struggle with the operational overhead of installing, configuring, and maintaining complex autoscaling solutions. HyperPod-managed node autoscaling eliminates the undifferentiated heavy lifting of Karpenter setup and maintenance, while providing integrated resilience and fault tolerance capabilities. Autoscaling on HyperPod with Karpenter enables customers to achieve just-in-time provisioning that rapidly adapts GPU compute for inference traffic spikes. Customers can scale to zero nodes during low-demand periods without maintaining dedicated controller infrastructure and benefit from workload-aware node selection that optimizes instance types and costs. For inference workloads, this provides automatic capacity scaling to handle production traffic bursts, cost reduction through intelligent node consolidation during idle periods, and seamless integration with event-driven pod autoscalers like KEDA. Training workloads also benefit from automatic resource optimization during model development cycles. You can enable autoscaling on HyperPod using the UpdateCluster API with AutoScaling mode set to «Enable» and AutoScalerType set to «Karpenter». This feature is available in all AWS Regions where Amazon SageMaker HyperPod EKS clusters are supported. To learn more about autoscaling on SageMaker HyperPod with Karpenter, see the user guide and blog.  

• Categoría: Noticias de Microsoft

septiembre 18, 2025

Su compañero personal de juegos los espera: Gaming Copilot (Beta) llegará a PC con Windows y Xbox en dispositivos móviles

Por: Taylor O’Malley, gerente principal de programas, Xbox.

Resumen

• Gaming Copilot comenzará a implementarse para jugadores mayores de 18 años en PC Game Bar hoy y para la aplicación Xbox en dispositivos móviles en octubre, con soporte regional en todas partes excepto China continental.
• Se anima a los jugadores que prueben Gaming Copilot por primera vez a probar el modo de voz, obtener ayuda con lo que sucede en su pantalla o pedir recomendaciones, sus logros o su historial de juego.
• Exploraremos y experimentaremos con nuevas características a medida que llevemos este asistente impulsado por IA a más jugadores y continuaremos optimizándolo para dispositivos portátiles y consolas Xbox en un futuro cercano.

La IA tiene el potencial de desbloquear nuevas y emocionantes posibilidades en la forma en que trabajamos, aprendemos y jugamos. En Xbox, nos centramos en cómo nuestras innovaciones en IA pueden mejorar y crear experiencias más personalizadas para los jugadores, ahorrarles tiempo y, en última instancia, permitirles centrarse más en jugar a los juegos que les gustan.

Hoy marca un paso importante en nuestro recorrido para llevar estas experiencias impulsadas por IA a los jugadores. Nos complace anunciar que Gaming Copilot, tu compañero de juego personal, que proporciona recomendaciones, ayuda, información y mucho más, llegará de manera oficial a PC con Windows y Xbox en dispositivos móviles. A partir de hoy, los jugadores de PC comenzarán a ver Gaming Copilot integrado de manera directa en su experiencia de Game Bar a medida que la función se implemente de manera gradual durante las próximas semanas. Luego llegará a la aplicación móvil Xbox en Apple y Android el próximo mes, donde los jugadores podrán acceder a este compañero personalizado a través de una segunda pantalla sin distraerse de su juego.

El recorrido hasta ahora

Desde que anunciamos Gaming Copilot a principios de este año, hemos experimentado con la forma de hacer que Copilot sea más útil: para estar ahí cuando necesiten ayuda y fuera del camino cuando no la necesiten. Con el apoyo y los comentarios de los jugadores en dispositivos móviles y los miembros de nuestro programa Xbox Insiders, desde entonces hemos introducido nuevas características en Gaming Copilot, como una asistencia más profunda en el juego, un modo de voz mejorado y una mejor comprensión de lo que sucede en la pantalla del juego.  

Durante esta fase de vista previa, la forma número uno en que vimos a los jugadores usar Gaming Copilot fue mejorar su juego, al responder sus preguntas sobre misiones, estrategias, configuraciones y más para que puedan permanecer en el juego. Ahora, cualquier jugador de Xbox en PC o con la aplicación Xbox en dispositivos móviles podrá aprovechar las capacidades de Gaming Copilot mientras juega, con nuevas características y mejoras como conocimientos más profundos y entrenamiento por venir, a medida que recopilamos comentarios y aprendemos de nuestra comunidad.

Consejos para comenzar

Para los jugadores que prueban Gaming Copilot por primera vez, aquí hay algunos consejos y sugerencias para comenzar:

• Prueben el modo de voz para disfrutar de una experiencia de juego más fluida: cuando jueguen de manera activa en Xbox, usen el modo de voz en PC o dispositivo móvil para hablar directo con Copilot, obtener ayuda sobre el juego que juegan y hacer preguntas sin separarse del juego.

En PC, hay varias formas de interactuar con Gaming Copilot en modo de voz:

• Push to Talk: cuando estén a mitad del juego y quieran pedir ayuda rápido a Gaming Copilot y luego volver al juego, prueben la nueva función «Push to Talk” (Pulsar para hablar). Para hacer esto, vayan a la página de configuración «Hardware y teclas de acceso rápido» donde pueden configurar su propio atajo de combinación de teclas en «Push to Talk». 
• Modo mini: para una conversación de voz de larga duración, intenten anclar el widget de Gaming Copilot. Para hacer esto, inicien y anclen el widget de Gaming Copilot, hagan clic en «Hablar» en la barra de navegación izquierda para iniciar una conversación y hagan clic en la flecha hacia arriba en la parte inferior derecha para minimizar el widget. Ahora pueden continuar la conversación una vez que regresen a su juego, todo mientras ocupan un espacio mínimo en tu pantalla. 

En la aplicación móvil Xbox, tan solo naveguen a la pestaña Gaming Copilot, presionen el ícono «Micrófono» para hablar y pregunten a Copilot cualquier pregunta o prompt para comenzar una conversación fluida.

• En el Modo de voz, obtengan ayuda al preguntar a Copilot sobre lo que sucede en su pantalla: Gaming Copilot no solo conoce el juego que juegan, sino que también puede entender lo que ustedes hacen en el juego, en tiempo real.
  • ¿Quieren saber más sobre ese nuevo enemigo que acaban de encontrar? Usen el modo de voz para preguntarle a Copilot sobre lo que ven y cualquier consejo para eliminarlo.
  • ¿No pueden recordar nada sobre ese NPC con el que hablaron? Usen el modo de voz para pedirle a Copilot un resumen de quiénes son, cuándo los conocieron por primera vez o su historia de fondo.

¿Quieren saber más sobre ese nuevo enemigo que acaban de encontrar? Usen el Modo de voz para preguntarle a Copilot sobre lo que ven y cualquier consejo para eliminarlo.

• Pidan recomendaciones o sobre logros e historial de juego: ¡Gaming Copilot también está aquí para ayudarlos con su biblioteca de juegos, logros e historial de juego! Si son nuevos en Xbox, cuéntenle a Copilot sobre sus géneros favoritos y dejen que les recomiende nuevos juegos para jugar, o pídanle recomendaciones de juegos basadas en su historial de juego. Copilot también sabe qué logros ya han desbloqueado, por lo que también pueden pedirle ayuda para buscar el próximo logro para desbloquear en su juego favorito. 

Continuaremos con la exploración y experimentación de nuevas características para Gaming Copilot a medida que llevemos este asistente impulsado por IA a más jugadores y continuemos optimizándolo para dispositivos portátiles, como ROG Xbox Ally y ROG Xbox Ally X que  se lanzarán el 16 de octubre, y consolas Xbox en un futuro cercano.

Cómo empezar a usar Gaming Copilot

Gaming Copilot comenzará a implementarse para jugadores mayores de 18 años en PC Game Bar hoy y para la aplicación Xbox en dispositivos móviles en octubre, con soporte regional en todas partes excepto China continental.

Para usar Gaming Copilot en la barra de juegos, asegúrense de tener instalada la aplicación Xbox PC en su dispositivo Windows. Presionen la tecla del logotipo de Windows + G para abrir la barra de juegos sobre el juego, la aplicación o el escritorio. Busquen el icono de Gaming Copilot en la barra de inicio, abran el widget e inicien sesión en su cuenta de Xbox para disfrutar de la experiencia completa.

Para usar Gaming Copilot en dispositivos móviles, descarguen la versión más reciente de la aplicación móvil Xbox, naveguen a la sección Copilot y abran la aplicación en su dispositivo para obtener soporte técnico en tiempo real y sin distracciones mientras juegan.

Pueden visitar nuestra página de soporte para obtener más información sobre Gaming Copilot.

Ayúdenos a dar forma al futuro de Gaming Copilot

Sus comentarios son fundamentales a medida que continuamos con el desarrollo de Gaming Copilot y lo hacemos aún más útil para las necesidades y preferencias de los jugadores. Cualquiera puede compartir comentarios directo en la experiencia al seleccionar «Dar comentarios» o al marcar las respuestas incorrectas de Copilot con un «pulgar hacia arriba» o «pulgar hacia abajo».

También pueden proporcionar comentarios directos al equipo Xbox con los pasos que se indican aquí en la sección «Informar de un problema en línea».

Etiquetas:

• IA
• Juegos

The post Su compañero personal de juegos los espera: Gaming Copilot (Beta) llegará a PC con Windows y Xbox en dispositivos móviles appeared first on Source LATAM.

​The post Su compañero personal de juegos los espera: Gaming Copilot (Beta) llegará a PC con Windows y Xbox en dispositivos móviles appeared first on Source LATAM.  

With this launch, Amazon VPC Reachability Analyzer and Amazon VPC Network Access Analyzer are now available in Asia Pacific (New Zealand), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Taipei), Canada West (Calgary), Israel (Tel Aviv) and Mexico (Central).

VPC Reachability Analyzer allows you to diagnose network reachability between a source resource and a destination resource in your virtual private clouds (VPCs) by analyzing your network configurations. For example, Reachability Analyzer can help you identify a missing route table entry in your VPC route table that could be blocking network reachability between an EC2 instance in Account A that is not able to connect to another EC2 instance in Account B in your AWS Organization.

VPC Network Access Analyzer allows you to identify unintended network access to your AWS resources, helping you meet your security and compliance guidelines. For example, you can create a scope to verify that all paths from your web-applications to the internet, traverse the firewall, and detect any paths that bypass the firewall.

For more information, visit documentation for VPC Reachability Analyzer and VPC Network Access Analyzer. For pricing, refer to the Network Analysis tab on the Amazon VPC Pricing Page. 

​With this launch, Amazon VPC Reachability Analyzer and Amazon VPC Network Access Analyzer are now available in Asia Pacific (New Zealand), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Taipei), Canada West (Calgary), Israel (Tel Aviv) and Mexico (Central). VPC Reachability Analyzer allows you to diagnose network reachability between a source resource and a destination resource in your virtual private clouds (VPCs) by analyzing your network configurations. For example, Reachability Analyzer can help you identify a missing route table entry in your VPC route table that could be blocking network reachability between an EC2 instance in Account A that is not able to connect to another EC2 instance in Account B in your AWS Organization. VPC Network Access Analyzer allows you to identify unintended network access to your AWS resources, helping you meet your security and compliance guidelines. For example, you can create a scope to verify that all paths from your web-applications to the internet, traverse the firewall, and detect any paths that bypass the firewall. For more information, visit documentation for VPC Reachability Analyzer and VPC Network Access Analyzer. For pricing, refer to the Network Analysis tab on the Amazon VPC Pricing Page.   

Amazon Q Developer CLI announces support for remote MCP servers. Remote MCP servers improve scalability and security of the tools you use within your development tasks. Not only does it reduce the use of compute resources by moving to a centralized server, it also helps you better manage access and security. You can now integrate with MCP servers such as Atlassian, and GitHub that support HTTP and support OAuth based authentication.

To configure a remote MCP server, specify the transport type as HTTP, the URL where users will get authentication credentials, and any optional headers to include when making the request. You can configure remote MCP servers in your custom agent configuration or in mcp.json. When a CLI session is initiated, you will see the list of MCP servers to load and can query the list for the authentication URL. Once you successfully complete the authentication steps, Q Developer CLI will query the tools available from the MCP server and make it available to the agent.

Remote MCP servers are available in Amazon Q Developer CLI and Amazon Q Developer IDE plugins. For more information, check out the documentation.

​Amazon Q Developer CLI announces support for remote MCP servers. Remote MCP servers improve scalability and security of the tools you use within your development tasks. Not only does it reduce the use of compute resources by moving to a centralized server, it also helps you better manage access and security. You can now integrate with MCP servers such as Atlassian, and GitHub that support HTTP and support OAuth based authentication. To configure a remote MCP server, specify the transport type as HTTP, the URL where users will get authentication credentials, and any optional headers to include when making the request. You can configure remote MCP servers in your custom agent configuration or in mcp.json. When a CLI session is initiated, you will see the list of MCP servers to load and can query the list for the authentication URL. Once you successfully complete the authentication steps, Q Developer CLI will query the tools available from the MCP server and make it available to the agent. Remote MCP servers are available in Amazon Q Developer CLI and Amazon Q Developer IDE plugins. For more information, check out the documentation.
   

AWS Step Functions now supports additional data sources and new observability metrics for Distributed Map. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to build distributed applications and data processing workloads. Distributed Map is a task state of Step Functions that runs the same process for multiple entries in a data set.

With this update, Distributed Map now supports additional data inputs, so you can orchestrate large-scale analytics and ETL workflows. You can now process AWS Athena data manifest and Parquet files directly, iterate over S3 objects under a specified prefix using S3ListObjectsV2, read from JSON objects and natively extract array data from JSON object from Amazon S3 or state input, eliminating the need for custom pre-processing. You also now get visibility into your Distributed Map usage with the following metrics, such as Approximate Open Map Runs Count, Open Map Run Limit, and Approximate Map Runs Backlog Size.

New input sources and improved observability for Distributed Map are available in all commercial AWS Regions where AWS Step Functions is available. To get started, you can use the Distributed Map mode today in the AWS Step Functions console. To learn more, visit the Step Functions developer guide.

​AWS Step Functions now supports additional data sources and new observability metrics for Distributed Map. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to build distributed applications and data processing workloads. Distributed Map is a task state of Step Functions that runs the same process for multiple entries in a data set. With this update, Distributed Map now supports additional data inputs, so you can orchestrate large-scale analytics and ETL workflows. You can now process AWS Athena data manifest and Parquet files directly, iterate over S3 objects under a specified prefix using S3ListObjectsV2, read from JSON objects and natively extract array data from JSON object from Amazon S3 or state input, eliminating the need for custom pre-processing. You also now get visibility into your Distributed Map usage with the following metrics, such as Approximate Open Map Runs Count, Open Map Run Limit, and Approximate Map Runs Backlog Size. New input sources and improved observability for Distributed Map are available in all commercial AWS Regions where AWS Step Functions is available. To get started, you can use the Distributed Map mode today in the AWS Step Functions console. To learn more, visit the Step Functions developer guide.  

Second-generation AWS Outposts racks can now be shipped and installed at your data center and on-premises locations in Australia, Bahrain, Brazil, Brunei, Chile, Costa Rica, Egypt, European Union countries, Iceland, Indonesia, Israel, Japan, Jordan, Kenya, the Kingdom of Saudi Arabia, Kuwait, Malaysia, New Zealand, Peru, the Philippines, Singapore, Trinidad and Tobago, Türkiye, the United Arab Emirates (UAE), the United Kingdom, and Vietnam.

Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Outposts racks are ideal for workloads that require low-latency access to on-premises systems, local data processing, and migration of applications with local system interdependencies. Outposts racks can also help meet data residency requirements. Second-generation Outposts racks support the latest generation of x86-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, starting with C7i, M7i, and R7i instances. These instances provide up to 40% better performance compared to C5, M5, and R5 instances on first-generation Outposts racks. Second-generation Outposts racks also offer simplified network scaling and configuration, and support a new category of accelerated networking Amazon EC2 instances optimized for ultra-low latency and high throughput needs.

With the availability of second-generation Outposts racks in the above countries, you can use AWS services to run your workloads and data in country in your on-premises facilities and connect to the nearest available AWS Region for management and operations.

To learn more about second-generation Outposts racks, read this blog post and the user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts racks FAQs page.

​Second-generation AWS Outposts racks can now be shipped and installed at your data center and on-premises locations in Australia, Bahrain, Brazil, Brunei, Chile, Costa Rica, Egypt, European Union countries, Iceland, Indonesia, Israel, Japan, Jordan, Kenya, the Kingdom of Saudi Arabia, Kuwait, Malaysia, New Zealand, Peru, the Philippines, Singapore, Trinidad and Tobago, Türkiye, the United Arab Emirates (UAE), the United Kingdom, and Vietnam.
Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Outposts racks are ideal for workloads that require low-latency access to on-premises systems, local data processing, and migration of applications with local system interdependencies. Outposts racks can also help meet data residency requirements. Second-generation Outposts racks support the latest generation of x86-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, starting with C7i, M7i, and R7i instances. These instances provide up to 40% better performance compared to C5, M5, and R5 instances on first-generation Outposts racks. Second-generation Outposts racks also offer simplified network scaling and configuration, and support a new category of accelerated networking Amazon EC2 instances optimized for ultra-low latency and high throughput needs.
With the availability of second-generation Outposts racks in the above countries, you can use AWS services to run your workloads and data in country in your on-premises facilities and connect to the nearest available AWS Region for management and operations.
To learn more about second-generation Outposts racks, read this blog post and the user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts racks FAQs page.  

AWS Network Firewall now offers enhancements to its console, monitoring dashboard, and security controls. These improvements include expanded monitoring insights and advanced TLS Inspection features. These updates provide customers with enhanced visibility into their firewall’s performance and stronger security measures for outbound connections.

The monitoring dashboard now provides deeper insights into traffic going to AWS services such as Amazon S3, Amazon DynamoDB, and AWS Backup, which can be sent over PrivateLink endpoints. The dashboard also gives visibility into top source and destination IP addresses based on packets and bytes processed. Customers can filter the dashboard based on IP addresses and protocol, enabling more targeted analysis of network traffic patterns.

To further strengthen security, AWS Network Firewall has introduced session holding for TLS Inspection. This feature prevents any TCP and TLS establishment packets from reaching destination servers until TLS protocol rules matching on Server Name Indication (SNI) have been evaluated. This enhancement provides stronger security controls for outbound traffic and helps protect against connections to potentially malicious targets. These new features are available in all AWS Regions where AWS Network Firewall is offered.

To learn more about these new features and other AWS Network Firewall capabilities, visit the AWS Network Firewall product page and the service documentation. 

​AWS Network Firewall now offers enhancements to its console, monitoring dashboard, and security controls. These improvements include expanded monitoring insights and advanced TLS Inspection features. These updates provide customers with enhanced visibility into their firewall’s performance and stronger security measures for outbound connections. The monitoring dashboard now provides deeper insights into traffic going to AWS services such as Amazon S3, Amazon DynamoDB, and AWS Backup, which can be sent over PrivateLink endpoints. The dashboard also gives visibility into top source and destination IP addresses based on packets and bytes processed. Customers can filter the dashboard based on IP addresses and protocol, enabling more targeted analysis of network traffic patterns. To further strengthen security, AWS Network Firewall has introduced session holding for TLS Inspection. This feature prevents any TCP and TLS establishment packets from reaching destination servers until TLS protocol rules matching on Server Name Indication (SNI) have been evaluated. This enhancement provides stronger security controls for outbound traffic and helps protect against connections to potentially malicious targets. These new features are available in all AWS Regions where AWS Network Firewall is offered. To learn more about these new features and other AWS Network Firewall capabilities, visit the AWS Network Firewall product page and the service documentation.   

Amazon Connect now provides you with agent hierarchy filters on the contact search page in the Amazon Connect UI. This launch enables contact center leaders to drill-down into their hierarchy to review contacts handled by specific contact center sites, departments or teams, for assessing contact quality or agent performance. This also enables centralized teams within contact centers, such as quality management and regulatory compliance, to efficiently locate and review contacts handled by specific teams or departments, streamlining their workflow for performance evaluation and compliance auditing.

This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.

​Amazon Connect now provides you with agent hierarchy filters on the contact search page in the Amazon Connect UI. This launch enables contact center leaders to drill-down into their hierarchy to review contacts handled by specific contact center sites, departments or teams, for assessing contact quality or agent performance. This also enables centralized teams within contact centers, such as quality management and regulatory compliance, to efficiently locate and review contacts handled by specific teams or departments, streamlining their workflow for performance evaluation and compliance auditing. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.