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.  

Amazon Connect now allows you to programmatically enrich case data by linking related cases, attaching custom related items, and searching across them, so agents have the full context they need to resolve issues faster. For example, an airline can link all customer cases tied to a single flight cancellation to coordinate rebookings and send proactive updates, while a retailer can attach order and shipment details to a refund request to deliver faster resolutions and keep customers informed.

Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.

​Amazon Connect now allows you to programmatically enrich case data by linking related cases, attaching custom related items, and searching across them, so agents have the full context they need to resolve issues faster. For example, an airline can link all customer cases tied to a single flight cancellation to coordinate rebookings and send proactive updates, while a retailer can attach order and shipment details to a refund request to deliver faster resolutions and keep customers informed. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.  

AWS is announcing the general availability of new compute optimized Amazon EC2 C8i and C8i-flex instances. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i and C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than C7i and C7i-flex instances, with even higher gains for some workloads. The C8i and C8i-flex instances are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex instances.

C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

C8i instances are a great choice for all compute intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.

C8i and C8i-flex instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain).

To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i and C8i-flex instances visit the AWS News blog.

​AWS is announcing the general availability of new compute optimized Amazon EC2 C8i and C8i-flex instances. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i and C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than C7i and C7i-flex instances, with even higher gains for some workloads. The C8i and C8i-flex instances are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex instances. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and application servers, databases, caches, Apache Kafka, Elasticsearch, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. C8i instances are a great choice for all compute intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. C8i and C8i-flex instances are available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i and C8i-flex instances visit the AWS News blog.