Today, we are announcing that Amazon ElastiCache Serverless now supports the WATCH command for same-slot transactions, helping developers build more reliable applications with improved data consistency in high-concurrency scenarios. With this launch, the WATCH command makes transactions conditional, ensuring they execute only when monitored keys remain unchanged.

For ElastiCache Serverless, the WATCH command works with transactions that operate on keys within the same hash slot as the watched keys. When applications attempt to watch keys that are not in the same hash slot, they’ll receive a CROSSSLOT error. Developers can control key placement by using hash tags in their key names to ensure keys hash to the same slot. The transaction will also be aborted when ElastiCache Serverless cannot guarantee the state of watched keys.

WATCH command support is available in all AWS regions where ElastiCache Serverless is supported at no additional cost. To get started, create transactions using the WATCH command through your preferred client library. To learn more about conditional transactions and the WATCH command, see the ElastiCache Serverless documentation, and the Valkey transactions documentation.

​Today, we are announcing that Amazon ElastiCache Serverless now supports the WATCH command for same-slot transactions, helping developers build more reliable applications with improved data consistency in high-concurrency scenarios. With this launch, the WATCH command makes transactions conditional, ensuring they execute only when monitored keys remain unchanged. For ElastiCache Serverless, the WATCH command works with transactions that operate on keys within the same hash slot as the watched keys. When applications attempt to watch keys that are not in the same hash slot, they’ll receive a CROSSSLOT error. Developers can control key placement by using hash tags in their key names to ensure keys hash to the same slot. The transaction will also be aborted when ElastiCache Serverless cannot guarantee the state of watched keys. WATCH command support is available in all AWS regions where ElastiCache Serverless is supported at no additional cost. To get started, create transactions using the WATCH command through your preferred client library. To learn more about conditional transactions and the WATCH command, see the ElastiCache Serverless documentation, and the Valkey transactions documentation.  

Amazon CloudWatch announces support for both the JSON and Concise Binary Object Representation (CBOR) protocols in the CloudWatch SDK, enabling lower latency and improved performance for CloudWatch customers. The SDK will automatically use JSON or CBOR as its new default communication protocol, offering customers a lower end-to-end processing latency as well as reduced payload sizes, application client side CPU, and memory usage.

Customers use the CloudWatch SDK either directly or through Infrastructure as Code solutions to manage their monitoring resources. Reducing control plane operations latency and payload size helps customer optimize their operational maintenance and resources usage and costs. JSON and the CBOR data formats are standards designed to enable better performance over the traditional AWS Query protocol.

The CloudWatch SDK for JSON and CBOR protocols support is available in all AWS Regions where Amazon CloudWatch is available and for all generally available AWS SDK language variants.

To leverage the performance improvements, customers can install the latest SDK version here. To learn more about the AWS SDK, see Amazon Developer tools.

​Amazon CloudWatch announces support for both the JSON and Concise Binary Object Representation (CBOR) protocols in the CloudWatch SDK, enabling lower latency and improved performance for CloudWatch customers. The SDK will automatically use JSON or CBOR as its new default communication protocol, offering customers a lower end-to-end processing latency as well as reduced payload sizes, application client side CPU, and memory usage. Customers use the CloudWatch SDK either directly or through Infrastructure as Code solutions to manage their monitoring resources. Reducing control plane operations latency and payload size helps customer optimize their operational maintenance and resources usage and costs. JSON and the CBOR data formats are standards designed to enable better performance over the traditional AWS Query protocol. The CloudWatch SDK for JSON and CBOR protocols support is available in all AWS Regions where Amazon CloudWatch is available and for all generally available AWS SDK language variants. To leverage the performance improvements, customers can install the latest SDK version here. To learn more about the AWS SDK, see Amazon Developer tools.  

Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) C8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high-performance file systems, while optimizing the cost of running your workloads.

For increased scalability, these instances offer instance sizes up to 24xlarge, including a metal-24xl size, up to 192 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.

The new C8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region.

To learn more, see Amazon EC2 C8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

​Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) C8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high-performance file systems, while optimizing the cost of running your workloads.
For increased scalability, these instances offer instance sizes up to 24xlarge, including a metal-24xl size, up to 192 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new C8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region.
To learn more, see Amazon EC2 C8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

Today, AWS announces that AWS Support Center Console now support screen sharing for troubleshooting support cases. With this new feature, you can request a virtual meeting while in an active chat or call, join support calls with one click through a meeting bridge link. With the new virtual meetings, you will be able to share your screen during the meeting and maintain seamless access to case details for efficient troubleshooting. This enhancement simplifies your support experience by keeping all support interactions within the AWS Support Center console.

To learn more visit the AWS Support page.

​Today, AWS announces that AWS Support Center Console now support screen sharing for troubleshooting support cases. With this new feature, you can request a virtual meeting while in an active chat or call, join support calls with one click through a meeting bridge link. With the new virtual meetings, you will be able to share your screen during the meeting and maintain seamless access to case details for efficient troubleshooting. This enhancement simplifies your support experience by keeping all support interactions within the AWS Support Center console.
To learn more visit the AWS Support page.  

Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities.

With this release, Braket provides native implementations of Qiskit’s Sampler and Estimator primitives that leverage Braket’s program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit’s extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes.

Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the Qiskit-Braket provider documentation and the Amazon Braket Developer Guide.

​Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities. With this release, Braket provides native implementations of Qiskit’s Sampler and Estimator primitives that leverage Braket’s program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit’s extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the Qiskit-Braket provider documentation and the Amazon Braket Developer Guide.  

• Categoría: Noticias de Microsoft

diciembre 10, 2025

Llegó el momento: Informe de uso de Copilot 2025

Por: Bea Costa-Gomes, Seth Spielman.

En MAI (Microsoft AI), no solo construimos herramientas de IA, nos importa cómo interactúan personas reales con ellas.

Así que, al concluir 2025, nos hemos lanzado de lleno a una montaña de datos desidentificados, para buscar las rarezas, sorpresas y patrones secretos que moldean la vida cotidiana con Copilot. Buscamos descubrir hasta qué punto encaja en los ritmos diarios de las personas y hasta qué punto se han vuelto humanos sus usos: a menudo recurrimos a la IA por las cosas que más importan, como nuestra salud. Analizamos una muestra de 37,5 millones de conversaciones para averiguar cómo la gente en verdad la utiliza en el mundo. (Nota: nuestro sistema no solo desidentifica las conversaciones; solo extrae el resumen de la conversación, del que aprendemos el tema y la intención, y mantiene la privacidad total.)

Desde consejos de salud que nunca duermen, hasta las diferencias entre uso entre semana y fin de semana, para pasar por el pico anual de febrero de «¿cómo sobrevivo al Día de San Valentín?», nuestros hallazgos muestran que Copilot es mucho más que una herramienta: es un compañero vital para los momentos grandes y pequeños de la vida. Y si alguna vez se han puesto a filosofar a las 2 de la madrugada o han necesitado consejos sobre cualquier cosa, desde el bienestar hasta las victorias en la vida, están en buena compañía. Y todos los demás también.

Nuestro trabajo demuestra que la IA se trata de personas, un asesor de confianza que encaja sin esfuerzo en su vida y en tu día. Se trata de su salud, su trabajo, su juego y sus relaciones. Los encuentra donde están. Lean todo sobre ello en nuestro artículo, pero aquí tienen algunas de nuestras conclusiones.

1. La salud siempre está en nuestra mente, en especial en el móvil

No importa el día, el mes o la hora, los temas relacionados con la salud dominan cómo la gente utiliza Copilot en sus dispositivos móviles. Ya sea para hacer seguimiento del bienestar, buscar consejos de salud o gestionar rutinas diarias, nuestros usuarios recurren de manera constante a Copilot para recibir apoyo en una vida más saludable. Esta tendencia se mantuvo constante durante todo el año, lo que muestra la importancia de la salud en nuestros hábitos digitales diarios. Cuando se trata de móvil, con su intimidad e inmediatez, nada supera nuestra salud.

Las conversaciones más comunes sobre emparejamiento tema-intención son desde el móvil.

La salud es, de manera consistente, el tema más común, mientras que, de forma inesperada, las conversaciones relacionadas con el idioma alcanzaron su punto máximo a principios de año, con el entretenimiento en aumento constante.

2. Cuando la programación y los videojuegos se cruzan

Agosto trajo un giro único: los temas de programación y videojuegos empezaron a superponerse de formas inesperadas. Nuestros datos mostraban que los usuarios tenían la misma probabilidad de sumergirse en proyectos de programación que de explorar juegos, ¡pero en diferentes días de la semana! Esta convergencia insinúa una comunidad vibrante y creativa que disfruta programar entre semana y jugar los fines de semana en igual medida.

Clasificación de temas de agosto para programación y juegos.

Hay un claro cambio de rango entre la programación y las partidas a lo largo de la semana, con un aumento en la programación de lunes a viernes y las partidas que brillan los fines de semana.

3. El gran momento de febrero

Febrero destacó por otra razón: Copilot ayudó a los usuarios a navegar una fecha importante en su año natural. Ya fuera para preparar el Día de San Valentín o enfrentar el día y las relaciones, vimos un aumento de actividad cuando la gente acudía a Copilot en busca de orientación, recordatorios y apoyo. Es un gran recordatorio de cómo las herramientas digitales pueden hacer que los momentos importantes de la vida sean un poco más fáciles de manejar.

Clasificación de conversaciones sobre «Crecimiento Personal y Bienestar» y «Relaciones»

Febrero trae preocupaciones sobre el crecimiento personal antes de San Valentín, con un claro pico de conversaciones relacionadas con las relaciones ese día.

4. Sesiones nocturnas

Las preguntas más grandes que la vida parecen aumentar durante las primeras horas de la mañana, con un ascenso en las filas de temas como «Religión y Filosofía». En comparación, las conversaciones sobre viajes ocurren más a menudo durante las horas de desplazamiento.

Puntuación promedio de las conversaciones sobre Viajes, Religión y Filosofía por hora del día.

Aunque durante el día la gente mantiene más conversaciones relacionadas con los viajes, es en las primeras horas de la mañana cuando vemos un aumento de conversaciones sobre Religión y Filosofía.

5. Consejos sobre el auge

Aunque la búsqueda de información sigue como la función más popular de Copilot, hemos visto un claro aumento de personas que buscan consejo, en especial en temas personales. Ya sea al navegar relaciones, tomar decisiones vitales o tan solo cuando se necesita un poco de orientación, cada vez más usuarios recurren a Copilot para recibir apoyo reflexivo, no solo respuestas rápidas. Esta tendencia creciente pone de manifiesto cómo las herramientas digitales se han comenzado a convertir en compañeras de confianza para las preguntas cotidianas de la vida.

Por qué importa esta información

Al analizar temas e intenciones de alto nivel, conseguimos obtener todos estos conocimientos mientras manteníamos la máxima privacidad de los datos de los usuarios. Comprender estos patrones nos ayuda a mejorar aún más el Copilot. Al ver lo que más importa para nuestros usuarios—salud, creatividad y apoyo en momentos clave—podemos diseñar características que en verdad encajen en su vida. También está claro por estos usos que lo que dice Copilot importa. Demuestran por qué es tan importante que nos pongamos un alto listón de calidad.

Habrá mucho más por llegar sobre esto y más en el Año Nuevo.

Etiquetas:

• IA
• Tecnología
• Vida y Trabajo

The post Llegó el momento: Informe de uso de Copilot 2025 appeared first on Source LATAM.

​The post Llegó el momento: Informe de uso de Copilot 2025 appeared first on Source LATAM.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS US East (Ohio) and Middle East (UAE) Regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances.

Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference.

For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.

C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand), Middle East (UAE)

To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS US East (Ohio) and Middle East (UAE) Regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand), Middle East (UAE) To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

Today, Amazon GameLift Servers is launching AI-powered assistance in the AWS Console, leveraging Amazon Q Developer to provide tailored guidance for game developers. This new feature integrates specialized GameLift Servers knowledge to help customers navigate complex workflows, troubleshoot issues, and optimize their game server deployments more efficiently.

Developers can now access AI-assisted recommendations for game server integration, fleet configuration, and performance optimization directly within the AWS Console via Amazon GameLift Servers. This enhancement aims to streamline decision making processes, reduce troubleshooting time, and improve overall resource utilization, leading to cost savings and better player experiences.

AI-powered assistance is now available in all Amazon GameLift Servers supported regions, except AWS China. To learn more about this new feature, visit the Amazon GameLift Servers documentation.

​Today, Amazon GameLift Servers is launching AI-powered assistance in the AWS Console, leveraging Amazon Q Developer to provide tailored guidance for game developers. This new feature integrates specialized GameLift Servers knowledge to help customers navigate complex workflows, troubleshoot issues, and optimize their game server deployments more efficiently. Developers can now access AI-assisted recommendations for game server integration, fleet configuration, and performance optimization directly within the AWS Console via Amazon GameLift Servers. This enhancement aims to streamline decision making processes, reduce troubleshooting time, and improve overall resource utilization, leading to cost savings and better player experiences. AI-powered assistance is now available in all Amazon GameLift Servers supported regions, except AWS China. To learn more about this new feature, visit the Amazon GameLift Servers documentation.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.

X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge.

X8g instances are currently available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm).

To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications.
X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge.
X8g instances are currently available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm).
To learn more, see Amazon EC2 X8g Instances. To quickly migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking.

With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application.

This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions where Aurora and RDS are available.

To learn more about tagging Aurora and RDS automated backups, see the Amazon documentation on Tagging Amazon Aurora resources, Tagging Amazon RDS resources, and Using tags for attribute-based access control.

​Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking.
With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application.
This capability is available in all AWS Regions, including the AWS GovCloud (US) Regions where Aurora and RDS are available.
To learn more about tagging Aurora and RDS automated backups, see the Amazon documentation on Tagging Amazon Aurora resources, Tagging Amazon RDS resources, and Using tags for attribute-based access control.