Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts.

When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI.

This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.

​Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts. When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI. This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.  

AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers.

Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency.

This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only.

AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.

​AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers. Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency. This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only. AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.  

Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions.

AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows.

This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.

​Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions. AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows. This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.  

Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs.

Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute.

To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.

​Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs. Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.  

Amazon Relational Database Service (Amazon RDS) for Db2 now enables customers to perform native database-level backups, offering greater flexibility in database management and migration.

With this feature, customers can selectively back up individual databases within a multi-database RDS for Db2 instance, enabling efficient migration of specific databases to another instance or on-premises environment. Using a simple backup command, customers can easily create database copies for development and testing environments, while also meeting their compliance requirements through separate backup copies. By backing up specific databases instead of full instance snapshots, customers can reduce their storage costs.

This feature is now available in all AWS Regions where Amazon RDS for Db2 is offered. For detailed information about configuring and using native database backups, visit the Amazon RDS for Db2 documentation. For pricing details, see the Amazon RDS pricing page.

​Amazon Relational Database Service (Amazon RDS) for Db2 now enables customers to perform native database-level backups, offering greater flexibility in database management and migration. With this feature, customers can selectively back up individual databases within a multi-database RDS for Db2 instance, enabling efficient migration of specific databases to another instance or on-premises environment. Using a simple backup command, customers can easily create database copies for development and testing environments, while also meeting their compliance requirements through separate backup copies. By backing up specific databases instead of full instance snapshots, customers can reduce their storage costs. This feature is now available in all AWS Regions where Amazon RDS for Db2 is offered. For detailed information about configuring and using native database backups, visit the Amazon RDS for Db2 documentation. For pricing details, see the Amazon RDS pricing page.  

Amazon DocumentDB (with MongoDB compatibility), a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure, is now available in the AWS Asia Pacific (Osaka), Asia Pacific (Thailand), Asia Pacific (Malaysia) and Mexico (Central) Regions. Amazon DocumentDB provides scalability and durability for mission-critical MongoDB workloads, supporting millions of requests per second and can be scaled to 15 low latency read replicas in minutes without application downtime. Storage scales automatically up to 128 TiB without any impact to your application. With Amazon DocumentDB Serverless, capacity automatically scales up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity. Amazon DocumentDB also natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more.

To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, and see the AWS Region Table for complete regional availability.

You can create a Amazon DocumentDB cluster from the AWS Management console, AWS Command Line Interface (CLI), or SDK.

​Amazon DocumentDB (with MongoDB compatibility), a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure, is now available in the AWS Asia Pacific (Osaka), Asia Pacific (Thailand), Asia Pacific (Malaysia) and Mexico (Central) Regions. Amazon DocumentDB provides scalability and durability for mission-critical MongoDB workloads, supporting millions of requests per second and can be scaled to 15 low latency read replicas in minutes without application downtime. Storage scales automatically up to 128 TiB without any impact to your application. With Amazon DocumentDB Serverless, capacity automatically scales up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity. Amazon DocumentDB also natively integrates with AWS Database Migration Service (DMS), Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup and more. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, and see the AWS Region Table for complete regional availability. You can create a Amazon DocumentDB cluster from the AWS Management console, AWS Command Line Interface (CLI), or SDK.  

AWS Incident Detection and Response is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions.

AWS Incident Detection and Response offers eligible AWS Enterprise Support customers proactive incident engagement to reduce the potential for failure and accelerate recovery of critical workloads from disruption. Incident Detection and Response facilitates your collaboration with AWS to develop runbooks and response plans customized to each onboarded workload.

​AWS Incident Detection and Response is now available in both AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. AWS Incident Detection and Response offers eligible AWS Enterprise Support customers proactive incident engagement to reduce the potential for failure and accelerate recovery of critical workloads from disruption. Incident Detection and Response facilitates your collaboration with AWS to develop runbooks and response plans customized to each onboarded workload.  

• Categoría: Noticias de Microsoft

octubre 7, 2025

Presentamos una experiencia de chat más inmersiva con Copilot Portraits

Por: Equipo de Copilot.

La voz se mantiene como una característica definitoria de Copilot, la interfaz del futuro para los compañeros de IA. Una pregunta aparece en su cabeza, o necesitan rebotar una idea: invocan a Copilot y comienzan una animada conversación que llega a la raíz de lo que buscan. De manera constante, escuchamos de los clientes que Voice es su forma favorita de interactuar con Copilot y continuamos con la evolución de la función. También creemos que hay muchas más oportunidades de aprovechar Voice de nuevas maneras para hacer que Copilot sea aún más atractivo para los fanáticos nuevos y existentes, tal vez quieran ver más señales visuales durante las conversaciones o tan solo quieran que las cosas se sientan más familiares.

Hoy, como parte de Copilot Labs, presentamos Copilot Portraits: una serie de retratos animados que se suman a la experiencia de Copilot Voice. Estos 40 retratos estilizados preseleccionados incluyen voz y animaciones en tiempo real durante las conversaciones, lo que proporciona un flujo más natural que las interacciones basadas en texto.

Los retratos son excelentes para cuando desean intercambiar ideas, practicar para una próxima entrevista o tienen curiosidad por explorar un nuevo tema. Cada retrato es estilizado y no fotorrealista de manera intencionada, lo que le ofrece variedad visual al tiempo que ofrece las mismas funciones confiables de inteligencia y seguridad de Copilot en las que confía.

Ponemos Portraits a disposición de un conjunto limitado de usuarios hoy en Canadá, el Reino Unido y los EE. UU. a través de Copilot Labs. Para comenzar, vayan a la sección Portraits de la página de Copilot Labs, busquen y seleccionen el retrato que se ajuste a sus preferencias, luego elijan una voz que se sienta adecuada para la conversación. Desde allí pueden iniciar una conversación de voz con su retrato.

Nos tomamos nuestro tiempo con este experimento para asegurarnos de brindar una experiencia positiva, segura y atractiva para todos. Además de mantener las mismas barreras y filtros de contenido que ya están disponibles a través de Copilot, fomentamos el uso saludable mediante la implementación de límites de tiempo por sesión y por día. Los retratos solo están disponibles para usuarios mayores de 18 años, y proporcionamos indicadores claros de que ustedes interactúan con la tecnología de IA. Vamos a recopilar comentarios y continuar con la iteración en la función antes de que esté disponible de manera más amplia.

Prueben Portraits hoy y comparta sus comentarios. Compartiremos actualizaciones a medida que implementemos Portraits para más personas con el tiempo.

Etiquetas:

• IA
• Vida y Trabajo

The post Presentamos una experiencia de chat más inmersiva con Copilot Portraits appeared first on Source LATAM.

​The post Presentamos una experiencia de chat más inmersiva con Copilot Portraits appeared first on Source LATAM.  

Amazon Connect now enables you to customize service level calculations to your specific needs. Supervisors and managers can define time thresholds for when a contact is considered to meet service level standards and select which contact outcomes to include in the calculation. For example, managers can choose to count callback contacts, exclude contacts transferred out while waiting in queue, and exclude short abandons using a configurable time threshold. Customization of service level calculation is available from the metric configuration section on the analytics dashboards.

With this feature supervisors and managers can now create a service level metric calculation that better aligns with their business operations. With a customized view of service level performance, operations managers can assess how effectively they have met their service standards.

This new feature is available in all AWS regions where Amazon Connect is offered. To learn more about customizing your service level calculation, visit the Admin Guide. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.

​Amazon Connect now enables you to customize service level calculations to your specific needs. Supervisors and managers can define time thresholds for when a contact is considered to meet service level standards and select which contact outcomes to include in the calculation. For example, managers can choose to count callback contacts, exclude contacts transferred out while waiting in queue, and exclude short abandons using a configurable time threshold. Customization of service level calculation is available from the metric configuration section on the analytics dashboards. With this feature supervisors and managers can now create a service level metric calculation that better aligns with their business operations. With a customized view of service level performance, operations managers can assess how effectively they have met their service standards. This new feature is available in all AWS regions where Amazon Connect is offered. To learn more about customizing your service level calculation, visit the Admin Guide. To learn more about Amazon Connect, the easy-to-use cloud contact center, visit the Amazon Connect website.  

Kubernetes version 1.34 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.34. Starting today, you can create new EKS clusters using version 1.34 and upgrade existing clusters to version 1.34 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool.

Kubernetes version 1.34 introduces several key improvements, including projected service account tokens for kubelet image credential providers helping improve security for container image pulls, and Pod-level resource requests and limits for simplified multi-container resource management. The release also introduces Dynamic Resource Allocation (DRA) prioritized alternatives, enabling workloads to define prioritized device requirements for improved resource scheduling. To learn more about the changes in Kubernetes version 1.34, see our documentation and the Kubernetes project release notes.

EKS now supports Kubernetes version 1.34 in all the AWS Regions where EKS is available, including the AWS GovCloud (US) Regions.

You can learn more about the Kubernetes versions available on EKS and instructions to update your cluster to version 1.34 by visiting EKS documentation. You can use EKS cluster insights to check if there any issues that can impact your Kubernetes cluster upgrades. EKS Distro builds of Kubernetes version 1.34 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.

​Kubernetes version 1.34 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.34. Starting today, you can create new EKS clusters using version 1.34 and upgrade existing clusters to version 1.34 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool. Kubernetes version 1.34 introduces several key improvements, including projected service account tokens for kubelet image credential providers helping improve security for container image pulls, and Pod-level resource requests and limits for simplified multi-container resource management. The release also introduces Dynamic Resource Allocation (DRA) prioritized alternatives, enabling workloads to define prioritized device requirements for improved resource scheduling. To learn more about the changes in Kubernetes version 1.34, see our documentation and the Kubernetes project release notes. EKS now supports Kubernetes version 1.34 in all the AWS Regions where EKS is available, including the AWS GovCloud (US) Regions. You can learn more about the Kubernetes versions available on EKS and instructions to update your cluster to version 1.34 by visiting EKS documentation. You can use EKS cluster insights to check if there any issues that can impact your Kubernetes cluster upgrades. EKS Distro builds of Kubernetes version 1.34 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.