The AWS Serverless Model Context Protocol (MCP) Server now supports specialized tools for AWS Lambda event source mappings (ESM), helping developers configure and manage ESMs more efficiently. These new tools combine the power of AI assistance with Lambda ESM expertise to streamline how developers set up, optimize, and troubleshoot event-driven serverless applications built on Lambda.
We previously launched the open-source Serverless MCP Server to enhance how developers build modern applications with AI-powered contextual guidance for architecture decisions, infrastructure provisioning, deployment automation, and troubleshooting of serverless applications. Starting today, we’re expanding the MCP server’s capabilities with new ESM tools that empower AI assistants, like Amazon Q Developer and Kiro, with proven knowledge of ESM patterns and best practices. The new ESM tools translate high-level throughput, latency, and reliability requirements into specific ESM configurations, generate complete AWS Serverless Application Model (AWS SAM) templates with optimized settings, validate network topology for Amazon Virtual Private Cloud (VPC)-based event sources, and diagnose common ESM issues. Thus, these tools enhance the event-driven application development experience, guiding developers through the entire ESM lifecycle, from initial setup to optimization and troubleshooting.
The key new ESM tools being added to the Serverless MCP Server are: the ESM guidance tool for contextual guidance across all supported event sources, the ESM optimization tool for analyzing configuration tradeoffs, and the ESM Kafka troubleshooting tool for specialized diagnostics with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka clusters.
To learn more about the Serverless MCP Server and how it can transform your AI-assisted application development, visit the launch blog post and documentation. To download and try out the open-source MCP server with your AI-enabled IDE of choice, visit the GitHub repository.
The AWS Serverless Model Context Protocol (MCP) Server now supports specialized tools for AWS Lambda event source mappings (ESM), helping developers configure and manage ESMs more efficiently. These new tools combine the power of AI assistance with Lambda ESM expertise to streamline how developers set up, optimize, and troubleshoot event-driven serverless applications built on Lambda. We previously launched the open-source Serverless MCP Server to enhance how developers build modern applications with AI-powered contextual guidance for architecture decisions, infrastructure provisioning, deployment automation, and troubleshooting of serverless applications. Starting today, we’re expanding the MCP server’s capabilities with new ESM tools that empower AI assistants, like Amazon Q Developer and Kiro, with proven knowledge of ESM patterns and best practices. The new ESM tools translate high-level throughput, latency, and reliability requirements into specific ESM configurations, generate complete AWS Serverless Application Model (AWS SAM) templates with optimized settings, validate network topology for Amazon Virtual Private Cloud (VPC)-based event sources, and diagnose common ESM issues. Thus, these tools enhance the event-driven application development experience, guiding developers through the entire ESM lifecycle, from initial setup to optimization and troubleshooting. The key new ESM tools being added to the Serverless MCP Server are: the ESM guidance tool for contextual guidance across all supported event sources, the ESM optimization tool for analyzing configuration tradeoffs, and the ESM Kafka troubleshooting tool for specialized diagnostics with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka clusters. To learn more about the Serverless MCP Server and how it can transform your AI-assisted application development, visit the launch blog post and documentation. To download and try out the open-source MCP server with your AI-enabled IDE of choice, visit the GitHub repository.
AWS Backup now supports copying database snapshots across AWS Regions and accounts using a single copy action. This feature supports Amazon RDS, Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots. It eliminates the need for sequential copying steps.
You can use cross-Region and cross-account snapshot copies to protect against incidents like ransomware attacks and Region outages that might affect your production accounts or primary Regions. Previously, you needed to perform this as a two-step process—first copying to a different Region, and then to a different account (or vice versa). Now, by completing this in one step, you can achieve faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also simplifies the workflow by removing the need for custom scripts or Lambda functions that monitor intermediate copy status.
This feature is available for all Amazon RDS and Amazon Aurora engines, Amazon Neptune and Amazon DocumentDB, in all regions where AWS Backup supports cross-Region and cross-account copying of snapshots in separate steps. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer the AWS Backup documentation.
AWS Backup now supports copying database snapshots across AWS Regions and accounts using a single copy action. This feature supports Amazon RDS, Amazon Aurora, Amazon Neptune, and Amazon DocumentDB snapshots. It eliminates the need for sequential copying steps.
You can use cross-Region and cross-account snapshot copies to protect against incidents like ransomware attacks and Region outages that might affect your production accounts or primary Regions. Previously, you needed to perform this as a two-step process—first copying to a different Region, and then to a different account (or vice versa). Now, by completing this in one step, you can achieve faster recovery point objectives (RPOs) while eliminating costs associated with intermediate copies. This streamlined process also simplifies the workflow by removing the need for custom scripts or Lambda functions that monitor intermediate copy status.
This feature is available for all Amazon RDS and Amazon Aurora engines, Amazon Neptune and Amazon DocumentDB, in all regions where AWS Backup supports cross-Region and cross-account copying of snapshots in separate steps. You can start using this feature today through the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To get started, refer the AWS Backup documentation.
AWS announces the general availability of the Amazon Elastic Compute Cloud (EC2) Capacity Reservation Topology API. It joins the Instance Topology API in enabling customers to efficiently manage capacity, schedule jobs, and rank nodes for Artificial Intelligence, Machine Learning, and High-Performance Computing distributed workloads. The Capacity Reservation Topology API gives customers a unique per-account hierarchical view of the relative location of their capacity reservations.
Customers running distributed parallel workloads are managing thousands of instances across tens to hundreds of capacity reservations. With the Capacity Reservation Topology API, customers can describe the topology of their reservations as a network node set, which will show the relative proximity of their capacity without the need to launch an instance. This enables efficient capacity planning and management as customers provision workloads on tightly coupled capacity. Customers can then use the Instance Topology API, which provides consistent network nodes from the Capacity Reservation Topology API with further granularity, enabling a consistent and seamless way to schedule jobs and rank nodes for optimal performance in distributed parallel workloads.
The Capacity Reservation Topology API is available in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), Middle East (Bahrain), Middle East (UAE), and South America (São Paulo), and it is supported on all instances available with the Instance Topology API.
AWS announces the general availability of the Amazon Elastic Compute Cloud (EC2) Capacity Reservation Topology API. It joins the Instance Topology API in enabling customers to efficiently manage capacity, schedule jobs, and rank nodes for Artificial Intelligence, Machine Learning, and High-Performance Computing distributed workloads. The Capacity Reservation Topology API gives customers a unique per-account hierarchical view of the relative location of their capacity reservations.
Customers running distributed parallel workloads are managing thousands of instances across tens to hundreds of capacity reservations. With the Capacity Reservation Topology API, customers can describe the topology of their reservations as a network node set, which will show the relative proximity of their capacity without the need to launch an instance. This enables efficient capacity planning and management as customers provision workloads on tightly coupled capacity. Customers can then use the Instance Topology API, which provides consistent network nodes from the Capacity Reservation Topology API with further granularity, enabling a consistent and seamless way to schedule jobs and rank nodes for optimal performance in distributed parallel workloads.
The Capacity Reservation Topology API is available in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), Middle East (Bahrain), Middle East (UAE), and South America (São Paulo), and it is supported on all instances available with the Instance Topology API.
To learn more, please visit the latest EC2 user guide.
Cómo una actualización sutil de nuestros íconos de Microsoft 365 indica un cambio más profundo.
Por: Jon Friedman, CVP de diseño e investigación de Microsoft 365.
Cuando se trata de un impacto descomunal, es difícil debatir sobre el ícono todopoderoso. No más grandes que un sello postal, estos pequeños símbolos son puertas de entrada a experiencias completas, destilan ideas complejas, habilidades de productos e identidades de marca en una sola imagen memorable. Al evocar emociones, despertar la curiosidad y brindar una guía intuitiva, hacen que la tecnología sea más accesible y cercana.
Nuestros íconos renovados de Microsoft 365 emanan una sensación de fluidez y juego, al mismo tiempo que son más simples, intuitivos y accesibles.
A medida que hemos implementado íconos actualizados para las aplicaciones de Microsoft 365, los cambios de diseño pequeños pero significativos son un reflejo y una señal. Como reflexión, encapsulan cómo la IA cambia la disciplina del diseño y la naturaleza del desarrollo de productos. Como símbolo, encarnan un espíritu arraigado en la conexión, la coherencia y la colaboración fluida. Si bien estos principios guiaron los rediseños anteriores, su significado ha cambiado: la conexión hoy en día no se trata tanto de la coherencia visual como del flujo continuo de la intención humana en cada lienzo de Microsoft 365.
Una línea de tiempo de transformación de productos, contada a través de cambios en nuestra iconografía.
Un recorrido de diseño de UI a UX
Las 10 aplicaciones principales de Office se actualizaron por última vez en 2018 y la forma en que describimos lo que representaban los diseños es casi idéntica al lenguaje que se usa hoy: conexión, coherencia, colaboración fluida, transiciones fluidas. En ese momento, eso hacía referencia al diseño de la interfaz. Señalábamos una apariencia conectada en todas las plataformas y dispositivos con transiciones visuales fluidas entre aplicaciones y animaciones. Fueron los primeros días de las aplicaciones que componían experiencias juntas y en verdad colaborativas.
Este antes y después muestra cómo el nuevo ícono de Microsoft Word mantiene la familiaridad mientras optimiza la experiencia visual para que sea simple.
Hoy en día, la colaboración sin esfuerzo significa tanto de persona a persona como de persona a IA, con experiencias inteligentes a nivel contextual, que comprenden y anticipan los matices de su trabajo, los datos a los que hacen referencia y los objetivos que persiguen. La conexión y la coherencia tienen que ver con la capacidad de Copilot para comprender su intención para que puedan atravesar sin problemas la totalidad del ecosistema de Microsoft 365 para lograr su objetivo. Ese es el cambio de paradigma; Microsoft 365 siempre ha potenciado la productividad, pero la fuerza impulsora de la experiencia de usuario a menudo eran las características de la aplicación o las herramientas en sí. Hoy, la fuerza impulsora es el resultado que desean.
Al pasar de la solidez audaz a las formas fluidas, los nuevos íconos se pliegan y curvan de manera que crean una sensación de movimiento y accesibilidad, una invitación a colaborar.
Con ese cambio de paradigma vienen cambios significativos en la disciplina de UX en sí y en la forma en que abordamos la creación de productos. Los ciclos más largos de desarrollo con la cabeza hacia abajo solían ser seguidos por una gran revelación de grandes cambios. Hoy en día, con las capacidades de los modelos que emergen con rapidez y nuestro aprendizaje como profesionales de UX que avanzan a gran velocidad, incluida la mejora de la tecnología como disciplina, la evolución del producto ocurre en oleadas continuas. La investigación muestra que los cambios en la iconografía casi siempre se reciben como una señal de cambios en el producto y en una era de cambios continuos y más pequeños, los íconos deberían reflejar eso. Como tal, adoptamos la idea de «evolución, no revolución» a lo largo de nuestro proceso de diseño.
Nuevas formas, colores y metáforas
Los nuevos íconos emanan una sensación de fluidez y juego, al mismo tiempo que son más simples, intuitivos y con una alta accesibilidad. Su metáfora, forma, color y letra se han redefinido para crear un sistema cohesivo, detectable y navegable, elaborado con degradados y gestos entretejidos en la expresión y las experiencias de IA de Microsoft.
Una vibrante variedad de íconos renovados, cada uno de los cuales es una puerta de entrada a la creatividad y la conexión, donde el diseño moderno se encuentra con una colaboración perfecta, y cada color señala una nueva posibilidad.
Simpleza encantadora: para mantener la familiaridad y optimizar la experiencia visual, simplificamos a nivel gráfico los íconos para mayor claridad y reducción del ruido visual. Mientras que antes el ícono de Word usaba cuatro barras horizontales, la nueva versión usa solo tres, lo que mejora la legibilidad en tamaños pequeños y crea una mayor concisión visual.
Formas fluidas: Nos hemos alejado de la solidez audaz y estática para adoptar formas más suaves y fluidas. Los bordes afilados y las líneas nítidas se reemplazan por pliegues y curvas suaves, lo que da a los íconos una sensación de movimiento lúdico y accesibilidad.
Un viaje visual de evolución, no de revolución, este collage de íconos de Word, PowerPoint y Excel son iteraciones de intención. La iconografía se convierte en una puerta de entrada a la colaboración fluida y a experiencias inteligentes a nivel contextual en todo el ecosistema de Microsoft 365.
Ricos y coloridos: La paleta de colores se ha refinado de manera importante. Donde los degradados alguna vez fueron sutiles, ahora son más ricos y vibrantes, con transiciones análogas exageradas que mejoran el contraste y la accesibilidad. Este cambio hace que los íconos se sientan más brillantes, más impactantes y más dinámicos.
Reconocibles al instante: las placas con letras fueron muy debatidas porque son bienes raíces valiosos y los íconos que siguen a los 10 principales Office ya no las usan. Sin embargo, su valor de marca es tan fuerte que decidimos conservarlos, para mantener nuestra herencia y al mismo tiempo modernizándolos a través de una integración visual más cohesiva con el diseño general.
Una vibrante constelación de iconos de Microsoft 365 renovados, cada uno simplificado, fluido y rico en color.
El arte imita la verdad; la verdad imita al arte
La iconografía a menudo equilibra la precisión y la aspiración. Ningún producto digital está horneado por completo, por lo que sus metáforas deben encarnar la verdad actual y el futuro que se construye de manera activa. Cuando rediseñamos nuestros íconos en 2018, el arte imitó la idea de que Microsoft 365 comenzara a fusionarse. Esa verdad del producto se había vuelto cada vez más fuerte, y luego Copilot se aceleró y transformó nuestra capacidad para crear un ecosistema en verdad conectado para los clientes.
Para crear el ícono de Copilot, nos basamos en un amplio linaje de influencias de diseño: íconos tradicionales de Office, aplicaciones más nuevas como Designer y Viva, íconos comerciales e industriales como Copilot for Sales y muchos más, al tiempo que adoptamos nuevas metáforas para significar un intercambio fluido entre ustedes y la IA, donde ustedes siempre tienen el control. La paleta de colores vibrantes del ícono representa todos los productos de Microsoft, en lugar de solo el azul tradicional, y expresa a nivel visual la colaboración y la creatividad de manera simple, lúdica y accesible.
Dado que Copilot ahora es un sistema más completo e integrado dentro de Microsoft 365, es apropiado que al actualizar los 10 íconos principales de Office, la principal fuente de inspiración fuera el ícono de Copilot en sí. Reflejo y resultado del impacto transformador de Copilot, los nuevos diseños completan a nivel visual un ciclo en el que el arte y la verdad se moldean de manera continua.
¡Un proyecto de este tamaño requiere un pueblo! Hay demasiada gente para mencionarlos a todos, pero un agradecimiento especial para Aaron Martinez, Ada Hurd, Alexis Copeland, Anna Gray, Anthony Dart, Arman Keyvanskhou, Braz De Pina, Claudia Nafarrate, Cole Rise, Colin Day, Danny Pak, Heath Hinegardner, Jana Huskey, Jason Custer, Ju Hyun Lee, Kris Bennett, Laura Clark, Mathieu James, Michelle Barrueto, Mike LaJoie, Phil Evans, Shelby Hutchison, Sven Seger y Tati Astua.
AWS Elastic Beanstalk now enables customers to build and deploy Java applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 features while benefiting from AL2023’s enhanced security and performance capabilities.
AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 through the Elastic Beanstalk Console, CLI, or API.
This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
For more information about Corretto 25 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
AWS Elastic Beanstalk now enables customers to build and deploy Java applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 features while benefiting from AL2023’s enhanced security and performance capabilities. AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 through the Elastic Beanstalk Console, CLI, or API. This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information about Corretto 25 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
TwelveLabs’ Marengo Embed 3.0 is now available on Amazon Bedrock, bringing advanced video-native multimodal embedding capabilities to developers and organizations working with video content. Marengo embedding models unify videos, images, audio, and text into a single representation space, enabling you to build sophisticated video search and content analysis applications for any-to-any search, recommendation systems, and other multimodal tasks with industry-leading performance.
Marengo 3.0 delivers several key enhancements. Extended video processing capacity: process up to 4 hours of video and audio content and files up to 6GB—double the capacity of previous versions—making it ideal for analyzing full sporting events, extended training videos, and complete film productions. Enhanced sports analysis: the model delivers significant improvements with better understanding of gameplay dynamics, player movements, and event detection. Global multilingual support: expanded language capabilities from 12 to 36 languages, enabling global organizations to build unified search and retrieval systems that work seamlessly across diverse regions and markets. Multimodal search precision: combine images and descriptive text in a single embedding request, merging visual similarity with semantic understanding to deliver more accurate and contextually relevant search results.
AWS is the first cloud provider to offer TwelveLab’s Marengo 3.0 model, now available in US East (N. Virginia), Europe (Ireland), and Asia Pacific (Seoul). The model supports synchronous inference for low-latency text and image embeddings, and asynchronous inference for processing for video, audio, and large-scale image files. To get started, visit the Amazon Bedrock console. To learn more, read product page, and documentation.
TwelveLabs’ Marengo Embed 3.0 is now available on Amazon Bedrock, bringing advanced video-native multimodal embedding capabilities to developers and organizations working with video content. Marengo embedding models unify videos, images, audio, and text into a single representation space, enabling you to build sophisticated video search and content analysis applications for any-to-any search, recommendation systems, and other multimodal tasks with industry-leading performance. Marengo 3.0 delivers several key enhancements. Extended video processing capacity: process up to 4 hours of video and audio content and files up to 6GB—double the capacity of previous versions—making it ideal for analyzing full sporting events, extended training videos, and complete film productions. Enhanced sports analysis: the model delivers significant improvements with better understanding of gameplay dynamics, player movements, and event detection. Global multilingual support: expanded language capabilities from 12 to 36 languages, enabling global organizations to build unified search and retrieval systems that work seamlessly across diverse regions and markets. Multimodal search precision: combine images and descriptive text in a single embedding request, merging visual similarity with semantic understanding to deliver more accurate and contextually relevant search results. AWS is the first cloud provider to offer TwelveLab’s Marengo 3.0 model, now available in US East (N. Virginia), Europe (Ireland), and Asia Pacific (Seoul). The model supports synchronous inference for low-latency text and image embeddings, and asynchronous inference for processing for video, audio, and large-scale image files. To get started, visit the Amazon Bedrock console. To learn more, read product page, and documentation.
Amazon Bedrock announces the availability of 4 new image editing tools to Stability AI Image Services: outpaint, fast upscale, conservative upscale, and creative upscale. These tools give creators precise control over their workflows, enabling them to transform concepts into finished products efficiently. The expanded suite now offers enhanced flexibility for professional creative projects.
Stability AI Image Services offers three categories of image editing capabilities: Edit tools: Remove Background, Erase Object, Search and Replace, Search and Recolor, Inpaint, and Outpaint (NEW) let you make targeted modifications to specific parts of your images; Upscale tools: Fast Upscale (NEW), Conservative Upscale (NEW), and Creative Upscale (NEW) enable you to enhance resolution while preserving quality; Control tools: Structure, Sketch, Style Guide, and Style Transfer give you powerful ways to generate variations based on existing images or sketches.
Amazon Bedrock announces the availability of 4 new image editing tools to Stability AI Image Services: outpaint, fast upscale, conservative upscale, and creative upscale. These tools give creators precise control over their workflows, enabling them to transform concepts into finished products efficiently. The expanded suite now offers enhanced flexibility for professional creative projects. Stability AI Image Services offers three categories of image editing capabilities: Edit tools: Remove Background, Erase Object, Search and Replace, Search and Recolor, Inpaint, and Outpaint (NEW) let you make targeted modifications to specific parts of your images; Upscale tools: Fast Upscale (NEW), Conservative Upscale (NEW), and Creative Upscale (NEW) enable you to enhance resolution while preserving quality; Control tools: Structure, Sketch, Style Guide, and Style Transfer give you powerful ways to generate variations based on existing images or sketches. Stability AI Image Services is available in Amazon Bedrock through the API and is supported in US West (Oregon), US East (N. Virginia), and US East (Ohio). For more information on supported regions, visit the Amazon Bedrock Model Support by Regions guide. For more details about Stability AI Image Services and its capabilities, visit the launch blog, Stability AI product page, and Stability AI documentation page.
Amazon EBS now provides additional visibility to monitor the average IOPS and average throughput of your Amazon EBS volumes with two new CloudWatch metrics – VolumeAvgIOPS and VolumeAvgThroughput. You can use the metrics to monitor the I/O being driven on your EBS volumes to track performance trends.
With these new volume level metrics, you can troubleshoot performance bottlenecks and optimize your volume’s provisioned performance to meet your application needs. The metrics will provide per-minute visibility into the driven average IOPS and average throughput on your EBS volume. With Amazon CloudWatch, you can use the new metrics to create customized dashboards and set alarms that notify you or automatically perform actions based on the metrics.
The VolumeAvgIOPS and VolumeAvgThroughput metrics are available by default at a 1-minute frequency at no additional charge and are supported for all EBS volumes attached to an EC2 Nitro instance in all Commercial AWS Regions, including the AWS GovCloud (US) Regions and AWS China Regions. To learn more about these new metrics, please visit the EBS CloudWatch Metrics documentation.
Amazon EBS now provides additional visibility to monitor the average IOPS and average throughput of your Amazon EBS volumes with two new CloudWatch metrics – VolumeAvgIOPS and VolumeAvgThroughput. You can use the metrics to monitor the I/O being driven on your EBS volumes to track performance trends. With these new volume level metrics, you can troubleshoot performance bottlenecks and optimize your volume’s provisioned performance to meet your application needs. The metrics will provide per-minute visibility into the driven average IOPS and average throughput on your EBS volume. With Amazon CloudWatch, you can use the new metrics to create customized dashboards and set alarms that notify you or automatically perform actions based on the metrics. The VolumeAvgIOPS and VolumeAvgThroughput metrics are available by default at a 1-minute frequency at no additional charge and are supported for all EBS volumes attached to an EC2 Nitro instance in all Commercial AWS Regions, including the AWS GovCloud (US) Regions and AWS China Regions. To learn more about these new metrics, please visit the EBS CloudWatch Metrics documentation.
Amazon S3 expands conditional write functionality tocopy operations. With conditional copy, you can now verify if the object exists or has been modified in your destination S3 bucket before copying it. This helps you coordinate simultaneous writes to the same object and prevents multiple concurrent writers from unintentionally overwriting the object.
You can now perform conditional copy operations through S3 CopyObject by including either the HTTP if-none-match header to verify object existence or the HTTP if-match header with ETag to validate the object’s content. Additionally, you can use the s3:if-match and s3:if-none-match condition keys in your S3 bucket policies to enforce conditional copy operations. S3 then evaluates the condition against the specified object’s key or ETag before executing the copy operation in the destination bucket. This eliminates the need for additional client-side coordination mechanisms or API validation requests.
Conditional copy is available at no additional charge in all AWS Regions in both S3 general purpose and directory buckets. You can use the AWS SDK, API, or CLI to copy data conditionally to your buckets. To learn more about conditional operations, visit the S3 User Guide.
Amazon S3 expands conditional write functionality to copy operations. With conditional copy, you can now verify if the object exists or has been modified in your destination S3 bucket before copying it. This helps you coordinate simultaneous writes to the same object and prevents multiple concurrent writers from unintentionally overwriting the object. You can now perform conditional copy operations through S3 CopyObject by including either the HTTP if-none-match header to verify object existence or the HTTP if-match header with ETag to validate the object’s content. Additionally, you can use the s3:if-match and s3:if-none-match condition keys in your S3 bucket policies to enforce conditional copy operations. S3 then evaluates the condition against the specified object’s key or ETag before executing the copy operation in the destination bucket. This eliminates the need for additional client-side coordination mechanisms or API validation requests. Conditional copy is available at no additional charge in all AWS Regions in both S3 general purpose and directory buckets. You can use the AWS SDK, API, or CLI to copy data conditionally to your buckets. To learn more about conditional operations, visit the S3 User Guide.
AWS Elastic Beanstalk now enables customers to build and deploy Tomcat 11 applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 and Jakarta EE 11 features while benefiting from AL2023’s enhanced security and performance capabilities.
AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Tomcat 11 with Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 with Tomcat 11 on AL2023 through the Elastic Beanstalk Console, CLI, or API.
This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
For more information about Corretto 25 with Tomcat 11 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
AWS Elastic Beanstalk now enables customers to build and deploy Tomcat 11 applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 and Jakarta EE 11 features while benefiting from AL2023’s enhanced security and performance capabilities.
AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Tomcat 11 with Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 with Tomcat 11 on AL2023 through the Elastic Beanstalk Console, CLI, or API.
This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.
For more information about Corretto 25 with Tomcat 11 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
