Mountpoint for Amazon S3 now lets you automatically mount an S3 bucket when your Amazon EC2 instance starts up. This simplifies how you define a consistent mounting configuration that automatically applies when your instance starts up and persists the mount when the instance reboots.
Previously, to use Mountpoint for Amazon S3, you had to manually mount an S3 bucket after every boot and validate the correct mount options. Now, with support for automatic bucket mounting, you can add your Mountpoint configuration to the fstab file so it is automatically applied every time your instance starts up. Linux system administrators commonly use fstab to manage mount configurations centrally. It contains information about all the available mounts on your compute instance. Once you modify the fstab file to add a new entry for Mountpoint for Amazon S3, your EC2 instance will read the configuration to automatically mount the S3 bucket whenever it restarts.
Mountpoint for Amazon S3 is an open source project backed by AWS support, which means customers with AWS Business and Enterprise Support plans get 24/7 access to cloud support engineers. To get started, visit the GitHub page and product overview page.
Mountpoint for Amazon S3 now lets you automatically mount an S3 bucket when your Amazon EC2 instance starts up. This simplifies how you define a consistent mounting configuration that automatically applies when your instance starts up and persists the mount when the instance reboots. Previously, to use Mountpoint for Amazon S3, you had to manually mount an S3 bucket after every boot and validate the correct mount options. Now, with support for automatic bucket mounting, you can add your Mountpoint configuration to the fstab file so it is automatically applied every time your instance starts up. Linux system administrators commonly use fstab to manage mount configurations centrally. It contains information about all the available mounts on your compute instance. Once you modify the fstab file to add a new entry for Mountpoint for Amazon S3, your EC2 instance will read the configuration to automatically mount the S3 bucket whenever it restarts. Mountpoint for Amazon S3 is an open source project backed by AWS support, which means customers with AWS Business and Enterprise Support plans get 24/7 access to cloud support engineers. To get started, visit the GitHub page and product overview page.
Today, AWS announces the general availability of the AWS Pricing Calculator in the AWS console. This launch enables customers to create more accurate and comprehensive cost estimates by providing two types of cost estimates: cost estimation for a workload, and estimation of a full AWS bill. You can also import your historical usage or create net new usage when creating a cost estimate. Additionally, the AWS Pricing Calculator now offers three rate configurations, including an after discounts and commitments view, allowing customers to see how both AWS pricing and volume discounts, as well as existing commitments, impact the total estimated cost of a workload estimate.
With the new rate configuration inclusive of both pricing discounts and purchase commitments, customers can gain a clearer picture of potential savings and cost optimizations for their cost scenarios. This feature is particularly useful for organizations looking to understand the impact of their existing commitments, such as Savings Plans or Reserved Instances, on their overall AWS costs. Additionally, customers can now export workload estimates directly from the console in both CSV and JSON formats, including resource-level details for estimated and historical costs. This enhancement facilitates easier analysis, sharing, and integration of estimates with internal financial planning tools.
The enhanced Pricing Calculator is available in all AWS commercial regions, excluding China. To get started with new Pricing Calculator, visit the AWS Billing and Cost Management Console. To learn more visit the AWS Pricing Calculator user guide.
Today, AWS announces the general availability of the AWS Pricing Calculator in the AWS console. This launch enables customers to create more accurate and comprehensive cost estimates by providing two types of cost estimates: cost estimation for a workload, and estimation of a full AWS bill. You can also import your historical usage or create net new usage when creating a cost estimate. Additionally, the AWS Pricing Calculator now offers three rate configurations, including an after discounts and commitments view, allowing customers to see how both AWS pricing and volume discounts, as well as existing commitments, impact the total estimated cost of a workload estimate. With the new rate configuration inclusive of both pricing discounts and purchase commitments, customers can gain a clearer picture of potential savings and cost optimizations for their cost scenarios. This feature is particularly useful for organizations looking to understand the impact of their existing commitments, such as Savings Plans or Reserved Instances, on their overall AWS costs. Additionally, customers can now export workload estimates directly from the console in both CSV and JSON formats, including resource-level details for estimated and historical costs. This enhancement facilitates easier analysis, sharing, and integration of estimates with internal financial planning tools. The enhanced Pricing Calculator is available in all AWS commercial regions, excluding China. To get started with new Pricing Calculator, visit the AWS Billing and Cost Management Console. To learn more visit the AWS Pricing Calculator user guide.
Kubernetes version 1.33 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 1.33. Starting today, you can create new EKS clusters using version 1.33 and upgrade existing clusters to version 1.33 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool.
Kubernetes version 1.33 includes stable support for sidecar containers, topology-aware routing and traffic distribution, and consideration of taints and tolerations when calculating pod topology spread constraints, ensuring that pods are distributed across different topologies according to their specified tolerance. This release also adds support for user namespaces within Linux pods, dynamic resource allocation for network interfaces, and in-place resource resizing for vertical scaling of pods. To learn more about the changes in Kubernetes version 1.33, see our documentation and the Kubernetes project release notes.
EKS now supports Kubernetes version 1.33 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 1.33 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 1.33 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.
Kubernetes version 1.33 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 1.33. Starting today, you can create new EKS clusters using version 1.33 and upgrade existing clusters to version 1.33 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool. Kubernetes version 1.33 includes stable support for sidecar containers, topology-aware routing and traffic distribution, and consideration of taints and tolerations when calculating pod topology spread constraints, ensuring that pods are distributed across different topologies according to their specified tolerance. This release also adds support for user namespaces within Linux pods, dynamic resource allocation for network interfaces, and in-place resource resizing for vertical scaling of pods. To learn more about the changes in Kubernetes version 1.33, see our documentation and the Kubernetes project release notes. EKS now supports Kubernetes version 1.33 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 1.33 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 1.33 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.
Los PC Copilot+ son los PC con Windows de mayor rendimiento jamás construidos, ahora con más funciones de IA que los empoderan cada día
Por: Navjot Virk, vicepresidente corporativo de Windows Experiences.
Windows siempre ha sido el lugar donde la innovación informática ocurre primero. Este fue el caso cuando presentamos los PC Copilot+ el pasado mes de mayo, los PC con Windows más rápidos, inteligentes y seguros jamás construidos, y continúa con la disponibilidad general (GA, por sus siglas en inglés) de experiencias exclusivas de IA como Recall (versión preliminar), Click To Do (versión preliminar) y Windows Search mejorado en los PC Copilot+.1
Los PC Copilot+ han abierto un camino en la informática personal, para redefinir lo que significa ser un PC premium con características, rendimiento y seguridad incomparables listos para usar.
Nos ha sorprendido la temprana recepción: nunca hemos visto una adopción más rápida de una nueva categoría. Como compartimos en enero, el 15% de las laptops de precio premium en los EE. UU. durante el trimestre de vacaciones fueron PC Copilot+, y esperamos que la mayoría de las PC vendidas en los próximos años sean PC Copilot+.
Con un precio inicial de 599 dólares, los PC Copilot+ ofrecen un valor excepcional dentro de la diversa cartera de nuestro ecosistema Windows, que satisfacen una amplia gama de necesidades a precios accesibles.
Cómo se comparan los PC Copilot+:
Ofrecen un rendimiento hasta un 13% más rápido que el MacBook Air M42 entre los dispositivos de mayor rendimiento, con experiencias de IA inigualables en el mercado.
Hasta 5 veces más rápido que un dispositivo Windows de 5 años de antigüedad,2 con características de seguridad mejoradas que los convierten en los PC con Windows más seguros que jamás hayamos fabricado.
Proporciona la batería más duradera entre las PC con Windows, con hasta 22 horas de reproducción de video y hasta 15 horas de navegación web, para que pueda pasar todo el día con una sola carga.3
Con una ventaja en rendimiento, velocidad, eficiencia y seguridad, las PC Copilot+ son la computadora personal definitiva. Pero más allá de ser una mejor PC, también ofrecemos funciones diferenciadas disponibles solo en estos dispositivos.
La IA ya no es una palabra de moda, ha comenzado a cambiar la forma en que abordamos los problemas, y hoy en día hasta el 76% de los consumidores utilizan la IA para obtener ayuda con las tareas difíciles.4
Satisfacemos esta demanda con experiencias de IA que son intuitivas, rápidas e integradas, sin necesidad de suscripciones, para ayudarlos a ser más productivos.
Hoy en día, los clientes pueden experimentar funciones como Cocreator en Paint, Restyle Image y Image Creator in Photos para dar vida a sus ideas en segundos. Con Windows Studio Effects, las traducciones en vivo con subtítulos en vivo y los comandos flexibles de Voice Access, nunca ha sido tan fácil colaborar y comunicarse de manera más eficaz en cualquier aplicación.
Ahora, con la disponibilidad de Recall, la búsqueda mejorada de Windows y Click to Do, agregamos aún más beneficios de IA, lo que hace que sea más fácil continuar donde se quedaron, encontrar lo que buscan y hacer más con menos tiempo y molestias.
En un momento en el que muchos hablan de los beneficios de la IA, estamos encantados de ofrecerlos en los PC Copilot+. Exploremos las funciones exclusivas de Copilot+ para PC disponibles a partir de hoy.
Novedades disponibles en los PC Copilot+
Recall. Vuelen atrás en el tiempo. Encuéntrenlo al instante.
Cuando presentamos Recall, nos propusimos abordar una frustración común: continuar donde se quedaron. Ya sea que se trate de un proyecto de la semana pasada o de una de las innumerables pestañas del navegador que se abren al comprar en línea, rastrearlo a menudo significa confiar en recuerdos vagos mientras buscan en carpetas, sitios web o correos electrónicos interminables.
Recall transforma la forma en que buscan y redescubren contenido en su PC. Dado que el 69% de los consumidores se sienten abrumados por el exceso de información, ahora es más importante que nunca ayudar a los clientes a encontrar la información correcta que buscan.4 Recall recupera su memoria digital, lo que les permite volver sobre sus pasos en segundos para encontrar y volver a una aplicación, sitio web, imagen o documento de forma rápida y segura. Tan solo desplácense por su línea de tiempo o describan el contenido que recuerdan. Con Recall en PC Copilot+, puede llevar hasta un 70% menos de tiempo encontrar y volver a interactuar con su presentación de PowerPoint: solo usen sus propias palabras, sin necesidad de indagar.5
Recall es una experiencia opcional con un amplio conjunto de controles de privacidad para filtrar el contenido y personalizar lo que se guarda para que lo encuentren más tarde. Hemos implementado amplias consideraciones de seguridad, como el inicio de sesión de Windows Hello, el cifrado de datos y el aislamiento en Recall para ayudar a mantener sus datos seguros y protegidos. Los datos de recuperación se procesan a nivel local en su dispositivo, lo que significa que no se envían a la nube y no se comparten con Microsoft, y Microsoft no compartirá sus datos con terceros. Obtengan más información aquí: Actualización sobre la arquitectura de seguridad y privacidad de Recall (en inglés).
Para los clientes comerciales y socios, los controles de TI avanzados están disponibles con una suscripción activa a E3, lo que brinda a las organizaciones la administración de sus sistemas. Estos controles proporcionan un marco sólido para supervisar el acceso a los datos, los permisos de los usuarios y la configuración de seguridad, lo que permite a las empresas mantener un entorno digital seguro y eficiente. Obtengan más información sobre las funciones para empresas y cómo usarlas para crear un entorno de TI más sólido y seguro aquí: Innovaciones de IA basadas en la transparencia y el control.
Siempre tienen el control y pueden optar por eliminar Recall por completo de su dispositivo a través de estos pasos (en «Recall como componente opcional»). Con la eliminación de cualquier característica, Windows puede conservar copias temporales de archivos binarios no ejecutables de la característica que de manera eventual se quitan con el tiempo.
Búsqueda mejorada en Windows. Descríbanlo. Encuéntrenlo, como por arte de magia.
Atrás quedaron los días de tratar de memorizar y recordar nombres de archivos o palabras exactas. Con la búsqueda mejorada de Windows, pueden tan solo describir lo que buscan y Windows lo entenderá y lo encontrará por ustedes. Esto significa más tiempo para hacer y menos tiempo en buscar.
La búsqueda mejorada de Windows puede comprender el significado contextual de palabras o frases, lo que hace que la búsqueda sea más natural e intuitiva. Esta capacidad es posible de manera local gracias a la unidad de procesamiento neuronal (NPU, por sus siglas en inglés) de 40+ TOPS (billones de operaciones por segundo).
Ya sea que utilicen el Explorador de archivos, el cuadro de búsqueda de Windows o la Configuración, pueden describir con sus propias palabras qué imágenes, documentos o configuraciones buscan, y la búsqueda mejorada de Windows revisará los archivos y los datos para encontrarlos.
En los PC Copilot+, puede llevar hasta un 70% menos de tiempo encontrar una imagen y copiarla en una nueva carpeta mediante la búsqueda mejorada de Windows que mediante la búsqueda tradicional en un dispositivo con Windows 10.5
¿Por qué saltar de una aplicación a otra cuando pueden mantenerse en el flujo? Click to Do proporciona atajos contextuales a acciones relevantes como resumir, reescribir o tan solo copiar cualquier texto o imagen que vean en la pantalla. Con las acciones de imagen, puede llevar hasta un 55% menos de tiempo eliminar un objeto de una imagen que se ve en un archivo PDF.5
El uso de Click to Do es sencillo y se integra a la perfección en su flujo de trabajo. Solo tienen que preguntar con Win+Clic, deslizar el dedo desde la derecha en un dispositivo con pantalla táctil o buscar el icono Click to Do en herramientas populares de Windows, como Inicio, Herramienta de recorte y Pantalla de impresión. Revelará qué acciones están disponibles en función del contenido de su pantalla, lo que les permitirá interactuar en tiempo real con imágenes y texto, y moverse con facilidad entre tareas.
Las acciones de imagen Click to Do ya están disponibles en todos los PC Copilot+, mientras que las acciones de texto Copilot comenzarán a implementarse en los dispositivos con Snapdragon X Series hoy, y los dispositivos con AMD Ryzen e Intel llegarán en los próximos meses.
Además de las funciones de lanzamiento anunciadas, los PC Copilot+ siguen con su evolución. El mes pasado, anunciamos la expansión de las experiencias de Copilot+ para PC en todo el silicio, y hoy continuamos con ese impulso. Los subtítulos en vivo ahora admiten traducciones en tiempo real al chino (simplificado) en 27 idiomas para contenido de audio y video durante reuniones virtuales, podcasts o reproducción de video.
Obtengan más información sobre cómo el aprendizaje automático y los modelos de IA impulsan funciones más accesibles con nuestro blog sobre sílice phi multimodal.
Cómo obtener estas actualizaciones
Estas experiencias exclusivas para PC Copilot+ están disponibles a través de la actualización de Windows Non-Security Preview de abril de 2025.6 A lo largo del próximo mes, implementaremos de manera gradual estas nuevas funciones a través de la implementación controlada de funciones (CFR, por sus siglas en inglés) para los consumidores.7
De cara al futuro
En Microsoft, nos comprometemos a dotar a cada cliente de las herramientas y la tecnología que necesitan para tener éxito.
Las experiencias de IA que ofrecemos están diseñadas para simplificar las tareas difíciles, para que puedan centrarse más en lo que les gusta, y esto es solo el principio.
A medida que Windows 10 llega al final del soporte el 14 de octubre de 2025, ahora es el momento de actualizar a una PC moderna y más segura con Windows 11 o Copilot+. Después de esta fecha, los PC con Windows 10 ya no recibirán actualizaciones de seguridad o funciones.
Los PC Copilot+ ofrecen un valor increíble con un rendimiento turboalimentado, una batería que dura todo el día y funciones de IA de última generación, lo que hace que ahora mismo sea el momento más inteligente para comprar una nueva PC. Exploren las últimas PC con Windows 11 y Copilot+ en nuestros socios minoristas globales, que incluyen Amazon, Best Buy, Boulanger, Costco, Currys, Elkjøp, Fnac, Harvey Norman, JB Hi-Fi, JD.com, MediaMarkt & SATURN, Officeworks, Sharaf DG y Walmart.
También pueden ponerse en contacto directo con los fabricantes de dispositivos para obtener los últimos PC Copilot + de Acer, Asus, Dell, HP,Lenovo, Microsoft Surface y Samsung. Están listos para ayudarlos a elegir los dispositivos que mejor se adapten a sus necesidades e intereses y los dirigirán a los programas de reciclaje de PC disponibles y créditos de intercambio por una PC nueva con Windows 11.
En el caso de los clientes empresariales, los revendedores, como Bechtle, CDW, ComputaCenter, SCC y más, están listos para respaldar su ruta de actualización con soluciones escalables.
Para obtener una lista completa de las características disponibles a través de Windows Update, obtengan más información aquí.
1Las experiencias de Copilot+ para PC varían según el dispositivo y el mercado, y es posible que requieran actualizaciones que continúen implementándose hasta 2025; Recall y Click to Do llegarán al Espacio Económico Europeo a finales de 2025; el tiempo varía. Ver aka.ms/ copilotpluspcs
2 Basado en pruebas encargadas por Microsoft y realizadas por Principled Technologies. Punto de referencia Cinebench 24 Multi-Core. El rendimiento variará de manera significativa según el dispositivo. Véase aka.ms/cpclaims
3 Basado en pruebas encargadas por Microsoft y realizadas por Principled Technologies. La batería variará de manera significativa según los dispositivos y el uso, la configuración y otros factores. Véase aka.ms/cpclaims
4 Basado en un estudio en línea encargado por Microsoft a consumidores estadounidenses de 13 años o más, realizado por Edelman DXI y Assembly, 1,000 participantes, marzo de 2025.
5 Basado en pruebas encargadas por Microsoft realizadas por Principled Technologies, marzo de 2025. Las pruebas compararon los flujos de trabajo manuales tradicionales en PC con Windows 10 con los flujos de trabajo que utilizan versiones preliminares de Search, Recall y Click to Do mejorados de Windows en PC Copilot+. El rendimiento real puede variar según las especificaciones del dispositivo, la configuración, el uso y otros factores. Detalles adicionales aquí
6 Requiere la actualización de versión preliminar no relacionada con la seguridad de noviembre de 2024.
7 Los consumidores con PC Copilot+ pueden estar entre los primeros en experimentar estas nuevas funciones en: Configuración > Windows Update y luego activar «Obtener las últimas actualizaciones tan pronto como estén disponibles». A continuación, seleccione «Buscar actualizaciones» para descargar e instalar la versión preliminar de abril que no es de seguridad. En algunos casos, las funciones pueden proporcionarse a través de una actualización por separado.
The post Los PC Copilot+ son los PC con Windows de mayor rendimiento jamás construidos, ahora con más funciones de IA que los empoderan cada día appeared first on Source LATAM.
Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming now supports participant replication, allowing you to copy a participant from one IVS stage to another. With this capability, participants can appear in multiple stages simultaneously, facilitating cross-stage interactions.
One common use case in social live streaming applications is competitive modes, where two streamers are temporarily matched so they can interact with each other in real time. With participant replication, you can copy a participant to another stage and allow viewers of each video to see both streamers.
Amazon IVS is a managed live streaming solution that is designed to make low-latency or real-time video available to viewers around the world. Video ingest and delivery are available over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available.
To learn more, please visit the participant replication documentation page.
Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming now supports participant replication, allowing you to copy a participant from one IVS stage to another. With this capability, participants can appear in multiple stages simultaneously, facilitating cross-stage interactions. One common use case in social live streaming applications is competitive modes, where two streamers are temporarily matched so they can interact with each other in real time. With participant replication, you can copy a participant to another stage and allow viewers of each video to see both streamers. Amazon IVS is a managed live streaming solution that is designed to make low-latency or real-time video available to viewers around the world. Video ingest and delivery are available over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To learn more, please visit the participant replication documentation page.
Today, AWS announces two enhancements to CloudTrail Lake: Event enrichment, which makes it easier to categorize, search, and analyze your AWS activity; and expanded event size, which improves visibility into API actions for more comprehensive security analysis. CloudTrail Lake is a managed data lake that enables you to aggregate, immutably store, and analyze your activity logs at scale.
With event enrichment, you can enrich your CloudTrail management and data events with additional information relevant to your business context. You can append resource tags and select AWS global condition keys to your events, making it easy to categorize, search, and analyze your AWS activity. Using resource tags in your events, you can easily create application-specific activity reports, or view AWS API activity based on the properties of the IAM principal. For example, you can see all delete actions taken by principals with a specific Principal Tag. Event enrichment integrates with CloudTrail Lake’s analytical capabilities, including AI-powered natural language query and summarization (Preview).
With expanded event size, you can now expand events size to up to 1 MB, a significant increase from the 256 KB limit. This reduces the need for CloudTrail to truncate events, giving you higher visibility into API actions for a more comprehensive security analysis.
To get started, enable event enrichment and expanded event size through the AWS Management Console or AWS APIs on your CloudTrail Lake event data stores. These features are available in AWS commercial regions where CloudTrail Lake is available. To learn more, see CloudTrail documentation.
Today, AWS announces two enhancements to CloudTrail Lake: Event enrichment, which makes it easier to categorize, search, and analyze your AWS activity; and expanded event size, which improves visibility into API actions for more comprehensive security analysis. CloudTrail Lake is a managed data lake that enables you to aggregate, immutably store, and analyze your activity logs at scale. With event enrichment, you can enrich your CloudTrail management and data events with additional information relevant to your business context. You can append resource tags and select AWS global condition keys to your events, making it easy to categorize, search, and analyze your AWS activity. Using resource tags in your events, you can easily create application-specific activity reports, or view AWS API activity based on the properties of the IAM principal. For example, you can see all delete actions taken by principals with a specific Principal Tag. Event enrichment integrates with CloudTrail Lake’s analytical capabilities, including AI-powered natural language query and summarization (Preview). With expanded event size, you can now expand events size to up to 1 MB, a significant increase from the 256 KB limit. This reduces the need for CloudTrail to truncate events, giving you higher visibility into API actions for a more comprehensive security analysis. To get started, enable event enrichment and expanded event size through the AWS Management Console or AWS APIs on your CloudTrail Lake event data stores. These features are available in AWS commercial regions where CloudTrail Lake is available. To learn more, see CloudTrail documentation.
The Amazon GameLift Servers team is excited to announce that the Amazon GameLift Server SDKs for C++, C#, and Go are now open source and available on the amazon-gamelift GitHub organization. The game engine plugins and SDKs for Unreal Engine and Unity along with developer scripts have been moved under the same GitHub organization for improved accessibility.
With this launch, we’ve simplified the integration experience by removing common setup hurdles like the need for external tools like CMake and OpenSSL. Developers can quickly get started integrating the server SDKs with native support for cross-compilation, ARM server builds, and the Unreal Engine toolchain. By open-sourcing the Amazon Game Server SDKs, we want to encourage stronger collaboration with the developer community, offer faster issue resolution, enable direct contribution paths, and provide greater transparency in ongoing development.
You can start today by exploring the repositories, raising issues, and contributing to the Amazon GameLift Server SDKs on GitHub. This new capability is available in all Amazon GameLift Servers supported regions globally, except China.
The Amazon GameLift Servers team is excited to announce that the Amazon GameLift Server SDKs for C++, C#, and Go are now open source and available on the amazon-gamelift GitHub organization. The game engine plugins and SDKs for Unreal Engine and Unity along with developer scripts have been moved under the same GitHub organization for improved accessibility. With this launch, we’ve simplified the integration experience by removing common setup hurdles like the need for external tools like CMake and OpenSSL. Developers can quickly get started integrating the server SDKs with native support for cross-compilation, ARM server builds, and the Unreal Engine toolchain. By open-sourcing the Amazon Game Server SDKs, we want to encourage stronger collaboration with the developer community, offer faster issue resolution, enable direct contribution paths, and provide greater transparency in ongoing development. You can start today by exploring the repositories, raising issues, and contributing to the Amazon GameLift Server SDKs on GitHub. This new capability is available in all Amazon GameLift Servers supported regions globally, except China. To learn more about version updates and full release details, visit the Amazon GameLift Servers Release Notes.
Amazon FSx for Lustre launches the Intelligent-Tiering storage class, which delivers virtually unlimited scalability, the only fully elastic Lustre storage, and the lowest-cost Lustre file storage in the cloud. FSx for Lustre is a fully managed storage service that delivers terabytes per second of throughput, millions of IOPS, and the fastest storage performance for GPU instances in the cloud. The FSx Intelligent-Tiering storage class is optimized for HDD-based or mixed HDD/SSD workloads that have a mix of hot and cold data and don’t require consistent SSD-level performance. For these workloads, the FSx for Lustre Intelligent-Tiering storage class delivers up to 34% better price-performance compared to on-premises HDD file storage and up to 70% better price-performance compared to other cloud-based Lustre storage.
FSx for Lustre Intelligent-Tiering delivers high performance whether you’re starting with gigabytes of experimental data or managing massive petabyte-scale datasets for your most demanding HPC and AI workloads. The Intelligent-Tiering storage class helps you lower costs by automatically scaling your file storage up or down based on your access patterns. This new storage class eliminates expensive overprovisioning and storage management by only charging for the data you store, with automatic tiering between Frequent Access, Infrequent Access, and Archive tiers. For your latency-sensitive workloads, an optional SSD read cache delivers SSD-level performance at HDD pricing. The FSx for Lustre Intelligent-Tiering storage class is optimized to deliver the lowest cost and simplest storage management for compute-intensive workloads like weather forecasting, seismic imaging, genomic analysis, and ADAS training.
For more information about this new storage class, see the Amazon FSx for Lustre documentation and AWS News Blog.
Amazon FSx for Lustre launches the Intelligent-Tiering storage class, which delivers virtually unlimited scalability, the only fully elastic Lustre storage, and the lowest-cost Lustre file storage in the cloud. FSx for Lustre is a fully managed storage service that delivers terabytes per second of throughput, millions of IOPS, and the fastest storage performance for GPU instances in the cloud. The FSx Intelligent-Tiering storage class is optimized for HDD-based or mixed HDD/SSD workloads that have a mix of hot and cold data and don’t require consistent SSD-level performance. For these workloads, the FSx for Lustre Intelligent-Tiering storage class delivers up to 34% better price-performance compared to on-premises HDD file storage and up to 70% better price-performance compared to other cloud-based Lustre storage.
FSx for Lustre Intelligent-Tiering delivers high performance whether you’re starting with gigabytes of experimental data or managing massive petabyte-scale datasets for your most demanding HPC and AI workloads. The Intelligent-Tiering storage class helps you lower costs by automatically scaling your file storage up or down based on your access patterns. This new storage class eliminates expensive overprovisioning and storage management by only charging for the data you store, with automatic tiering between Frequent Access, Infrequent Access, and Archive tiers. For your latency-sensitive workloads, an optional SSD read cache delivers SSD-level performance at HDD pricing. The FSx for Lustre Intelligent-Tiering storage class is optimized to deliver the lowest cost and simplest storage management for compute-intensive workloads like weather forecasting, seismic imaging, genomic analysis, and ADAS training.
To learn more about the AWS Regions where the FSx Intelligent-Tiering storage class is available, see deployment options for FSx Lustre file systems.
For more information about this new storage class, see the Amazon FSx for Lustre documentation and AWS News Blog.
Amazon EMR now supports read and write operations from Apache Spark jobs on AWSLake Formation registered tables when the job role has full table access. This capability enables Data Manipulation Language (DML) operations including CREATE, ALTER, DELETE, UPDATE, and MERGE INTO statements on ApacheHive and Iceberg tables from within the same ApacheSpark application.
While Lake Formation’s fine-grained access control (FGAC) offers granular security controls at row, column, and cell levels, many ETL workloads simply need full table access. This new feature enables Apache Spark to directly read and write data when full table access is granted, removing FGAC limitations that previously restricted certain ETL operations. You can now leverage advanced Spark capabilities including RDDs, custom libraries, UDFs, and custom images (AMIs for EMR on EC2, custom images for EMR-Serverless) with Lake Formation tables. Additionally, data teams can run complex, interactive Spark applications through SageMaker Unified Studio in compatibility mode while maintaining Lake Formation’s table-level security boundaries.
This feature is available in all AWS Regions where Amazon EMR and AWS Lake Formation are supported.
Amazon EMR now supports read and write operations from Apache Spark jobs on AWS Lake Formation registered tables when the job role has full table access. This capability enables Data Manipulation Language (DML) operations including CREATE, ALTER, DELETE, UPDATE, and MERGE INTO statements on Apache Hive and Iceberg tables from within the same Apache Spark application. While Lake Formation’s fine-grained access control (FGAC) offers granular security controls at row, column, and cell levels, many ETL workloads simply need full table access. This new feature enables Apache Spark to directly read and write data when full table access is granted, removing FGAC limitations that previously restricted certain ETL operations. You can now leverage advanced Spark capabilities including RDDs, custom libraries, UDFs, and custom images (AMIs for EMR on EC2, custom images for EMR-Serverless) with Lake Formation tables. Additionally, data teams can run complex, interactive Spark applications through SageMaker Unified Studio in compatibility mode while maintaining Lake Formation’s table-level security boundaries. This feature is available in all AWS Regions where Amazon EMR and AWS Lake Formation are supported. To learn more about this feature, visit the Lake Formation unfiltered access section in EMR Serverless documentation.
Today, AWS announces the release of Model Context Protocol (MCP) servers for AWS Lambda, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), and Finch. MCP servers are a standard interface to enhance AI-assisted application development by equipping AI code assistants with real-time, contextual understanding of AWS Serverless and Container services including AWS Lambda, Amazon ECS, and Amazon EKS. With MCP servers, you can get from idea to production faster by giving your AI assistants access to an up-to-date framework on how to correctly interact with your AWS service of choice.
MCP servers enable AI code assistants to generate production-ready results by incorporating AWS operational best practices, Well-Architected principles, and service-specific optimizations. When building applications on AWS Lambda, Amazon ECS, Amazon EKS, and Finch, developers can use natural language to describe their requirements while AI code assistants handle service configurations, infrastructure setup, and cross-service integrations. The code assistant will use the tools and configurations provided in the MCP server to build and deploy applications. MCP servers also simplify operations by enabling AI-assisted, service-specific configuration of logging, monitoring, security controls, and troubleshooting failures.
To learn more about MCP servers for AWS Serverless and Containers and how they can transform your AI-assisted application development, visit the AWS News Blog. To download and try out the open-source MCP servers for these services locally with your AI-enabled IDE of choice, visit the aws-labs GitHub repository.
Today, AWS announces the release of Model Context Protocol (MCP) servers for AWS Lambda, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), and Finch. MCP servers are a standard interface to enhance AI-assisted application development by equipping AI code assistants with real-time, contextual understanding of AWS Serverless and Container services including AWS Lambda, Amazon ECS, and Amazon EKS. With MCP servers, you can get from idea to production faster by giving your AI assistants access to an up-to-date framework on how to correctly interact with your AWS service of choice. MCP servers enable AI code assistants to generate production-ready results by incorporating AWS operational best practices, Well-Architected principles, and service-specific optimizations. When building applications on AWS Lambda, Amazon ECS, Amazon EKS, and Finch, developers can use natural language to describe their requirements while AI code assistants handle service configurations, infrastructure setup, and cross-service integrations. The code assistant will use the tools and configurations provided in the MCP server to build and deploy applications. MCP servers also simplify operations by enabling AI-assisted, service-specific configuration of logging, monitoring, security controls, and troubleshooting failures. To learn more about MCP servers for AWS Serverless and Containers and how they can transform your AI-assisted application development, visit the AWS News Blog. To download and try out the open-source MCP servers for these services locally with your AI-enabled IDE of choice, visit the aws-labs GitHub repository.
