AWS Elastic Beanstalk now enables customers to build and deploy Ruby 3.4 applications on the Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Ruby features while benefiting from AL2023’s enhanced security and performance features.
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. Ruby 3.4 on AL2023 delivers performance improvements and reduced memory usage. Developers can create Elastic Beanstalk environments running Ruby 3.4 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 Ruby 3.4 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 Ruby 3.4 applications on the Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Ruby features while benefiting from AL2023’s enhanced security and performance features.
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. Ruby 3.4 on AL2023 delivers performance improvements and reduced memory usage. Developers can create Elastic Beanstalk environments running Ruby 3.4 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 Ruby 3.4 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
Today, AWS announces the general availability of the Amazon Q Business integrations for Microsoft 365 for Word and Outlook. These new integrations improve the usability and usefulness of Amazon Q Business by making its generative AI features available where business users do their work. Users can now get Amazon Q Business’ help in creating content, reviewing documents, and reading or drafting their emails without switching context.
The Word integration helps users boost their document creation and review efficiency. Users can leverage generative AI capabilities to draft content, enhance writing quality, and analyze lengthy documents with ease. Through the Amazon Q Business interface, users can perform various AI-powered text transformations on selected text – such as improving its readability or modifying its writing style – and seamlessly incorporate these improvements directly into their Word documents.
The Outlook integration helps users streamline their communication workflows and improve the effectiveness of their emails. Users can summarize lengthy email threads, identify and extract action items for follow up, get assistance with draft composition, adjust message tone, and seamlessly incorporate enhanced content directly into their emails from the Amazon Q Business window.
These integrations are designed to be easy for customers to set up and distribute to their users within hours and are available to Q Business customers using AWS IAM Identity Center in all AWS Regions where Q Business is available.
Today, AWS announces the general availability of the Amazon Q Business integrations for Microsoft 365 for Word and Outlook. These new integrations improve the usability and usefulness of Amazon Q Business by making its generative AI features available where business users do their work. Users can now get Amazon Q Business’ help in creating content, reviewing documents, and reading or drafting their emails without switching context. The Word integration helps users boost their document creation and review efficiency. Users can leverage generative AI capabilities to draft content, enhance writing quality, and analyze lengthy documents with ease. Through the Amazon Q Business interface, users can perform various AI-powered text transformations on selected text – such as improving its readability or modifying its writing style – and seamlessly incorporate these improvements directly into their Word documents. The Outlook integration helps users streamline their communication workflows and improve the effectiveness of their emails. Users can summarize lengthy email threads, identify and extract action items for follow up, get assistance with draft composition, adjust message tone, and seamlessly incorporate enhanced content directly into their emails from the Amazon Q Business window. These integrations are designed to be easy for customers to set up and distribute to their users within hours and are available to Q Business customers using AWS IAM Identity Center in all AWS Regions where Q Business is available. To learn more, visit the Amazon Q Business product page or review the documentation for detailed setup instructions and feature descriptions.
Amazon Bedrock announces the preview launch of the Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI (GenAI) applications built with popular open-source frameworks such as LangGraph and LlamaIndex. Session Management APIs provide an out-of-the-box solution that enables developers to securely manage state and conversation context across multi-step GenAI workflows, eliminating the need to build, maintain, or scale custom backend solutions.
By preserving session state between interactions, Session Management APIs enhance workflow continuity, enabling GenAI applications, such as virtual assistants and multi-agent research workflows, that require persistent context across extended interactions. Developers can use this capability to checkpoint workflow stages, save intermediate states, and resume tasks from points of failure or interruption. Additionally, they can pause and replay sessions and leverage detailed traces to debug and enhance their GenAI applications. By treating session as a first-class resource, this capability enables developers to enforce granular access control through AWS Identity and Access Management (IAM) and encrypt data using AWS Key Management Service (KMS), ensuring that data from different user sessions is securely isolated and supporting multi-tenant applications with strong privacy protections.
Session Management APIs are now available in preview in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Zurich), and South America (São Paulo). To learn more, visit the technical documentation.
Amazon Bedrock announces the preview launch of the Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI (GenAI) applications built with popular open-source frameworks such as LangGraph and LlamaIndex. Session Management APIs provide an out-of-the-box solution that enables developers to securely manage state and conversation context across multi-step GenAI workflows, eliminating the need to build, maintain, or scale custom backend solutions. By preserving session state between interactions, Session Management APIs enhance workflow continuity, enabling GenAI applications, such as virtual assistants and multi-agent research workflows, that require persistent context across extended interactions. Developers can use this capability to checkpoint workflow stages, save intermediate states, and resume tasks from points of failure or interruption. Additionally, they can pause and replay sessions and leverage detailed traces to debug and enhance their GenAI applications. By treating session as a first-class resource, this capability enables developers to enforce granular access control through AWS Identity and Access Management (IAM) and encrypt data using AWS Key Management Service (KMS), ensuring that data from different user sessions is securely isolated and supporting multi-tenant applications with strong privacy protections. Session Management APIs are now available in preview in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Zurich), and South America (São Paulo). To learn more, visit the technical documentation.
Today, we are excited to announce Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, in Asia Pacific (Tokyo). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media.
Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement.
Today, we are excited to announce Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, in Asia Pacific (Tokyo). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media. Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement. To learn more about Amazon Nova creative models, see the Amazon Nova creative models and learn about Amazon Nova creative models responsible use of AI. To get started with Amazon Nova on Amazon Bedrock, visit the Amazon Bedrock console.
With the Mountpoint for Amazon S3 Container Storage Interface (CSI) driver, your Kubernetes applications can access S3 objects through a file system interface, achieving high aggregate throughput without any changes to your application. Built on Mountpoint for Amazon S3, the CSI driver presents an S3 bucket as a volume accessible by containers in Amazon Elastic Kubernetes Service (Amazon EKS) and self-managed Kubernetes clusters. As a result, distributed machine learning training jobs in Amazon EKS and self-managed Kubernetes clusters can read data from Amazon S3 at high throughput to accelerate training times.
The Mountpoint for Amazon S3 CSI driver supports sequential and random read operations on existing files and sequential write operations for creating new files. For details on supported file system operations, visit the documentation. Amazon EKS supports the Mountpoint for Amazon S3 CSI driver as an EKS add-on. You can install, configure, and update the CSI driver with just a few clicks in Amazon EKS console, AWS Command Line Interface (AWS CLI), EKS Application Programming Interface (API), and AWS CloudFormation.
With this launch, the Mountpoint for Amazon S3 CSI driver is now available in all commercial and AWS GovCloud (US) Regions. To get started, follow the user guide.
With the Mountpoint for Amazon S3 Container Storage Interface (CSI) driver, your Kubernetes applications can access S3 objects through a file system interface, achieving high aggregate throughput without any changes to your application. Built on Mountpoint for Amazon S3, the CSI driver presents an S3 bucket as a volume accessible by containers in Amazon Elastic Kubernetes Service (Amazon EKS) and self-managed Kubernetes clusters. As a result, distributed machine learning training jobs in Amazon EKS and self-managed Kubernetes clusters can read data from Amazon S3 at high throughput to accelerate training times. The Mountpoint for Amazon S3 CSI driver supports sequential and random read operations on existing files and sequential write operations for creating new files. For details on supported file system operations, visit the documentation. Amazon EKS supports the Mountpoint for Amazon S3 CSI driver as an EKS add-on. You can install, configure, and update the CSI driver with just a few clicks in Amazon EKS console, AWS Command Line Interface (AWS CLI), EKS Application Programming Interface (API), and AWS CloudFormation. With this launch, the Mountpoint for Amazon S3 CSI driver is now available in all commercial and AWS GovCloud (US) Regions. To get started, follow the user guide.
AWS CodeBuild now supports macOS 15.2 as a new major version for macOS builds. This allows developers to build and test their applications in the latest macOS environment. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment.
The new major version includes the latest Xcode 16.2, Fastlane for iOS automation and Finch for container management in macOS environment. We have also updated our existing macOS AMI to version 14.7, ensuring customers have access to the latest security updates and improvements.
The new macOS 15.2 is available in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Sydney). For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page.
To learn more about the runtimes supported by macOS, please visit our documentation. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.
AWS CodeBuild now supports macOS 15.2 as a new major version for macOS builds. This allows developers to build and test their applications in the latest macOS environment. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment. The new major version includes the latest Xcode 16.2, Fastlane for iOS automation and Finch for container management in macOS environment. We have also updated our existing macOS AMI to version 14.7, ensuring customers have access to the latest security updates and improvements. The new macOS 15.2 is available in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Sydney). For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. To learn more about the runtimes supported by macOS, please visit our documentation. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.
AWS Network Firewall now provides enhanced console capabilities that improve rule management and policy configuration workflows. Key improvements include the ability to modify the priority of rules directly from the console without needing to delete and recreate them, pre-populated fields to add descriptions and signature ID in your rules, default «Alert Established» selection for comprehensive connection logging, and automatic «Reject» action selection in Stream Exception Policy configuration.
These console improvements streamline the firewall administration workflow and help prevent common configuration oversights. Security teams can now efficiently adjust rule priorities through a simple point-and-click interface, accelerate rule creation with pre-configured fields, and ensure consistent security posture with smart defaults. The automatic selection of «Alert Established» and «Reject» actions helps maintain robust security logging and proper handling of midstream connection breaks without requiring manual configuration.
The enhanced AWS Network Firewall console features are available in all AWS Regions where AWS Network Firewall is offered.
To learn more about these new features and other AWS Network Firewall capabilities, visit the AWS Network Firewall product page and the service documentation.
AWS Network Firewall now provides enhanced console capabilities that improve rule management and policy configuration workflows. Key improvements include the ability to modify the priority of rules directly from the console without needing to delete and recreate them, pre-populated fields to add descriptions and signature ID in your rules, default «Alert Established» selection for comprehensive connection logging, and automatic «Reject» action selection in Stream Exception Policy configuration. These console improvements streamline the firewall administration workflow and help prevent common configuration oversights. Security teams can now efficiently adjust rule priorities through a simple point-and-click interface, accelerate rule creation with pre-configured fields, and ensure consistent security posture with smart defaults. The automatic selection of «Alert Established» and «Reject» actions helps maintain robust security logging and proper handling of midstream connection breaks without requiring manual configuration. The enhanced AWS Network Firewall console features are available in all AWS Regions where AWS Network Firewall is offered. To learn more about these new features and other AWS Network Firewall capabilities, visit the AWS Network Firewall product page and the service documentation.
Today, we are announcing that Amazon Q Developer is generally available in Amazon SageMaker Canvas. Amazon Q Developer provides generative AI-powered assistance throughout the machine learning (ML) lifecycle, enabling users of all skill levels to build production-ready ML models using natural language. With this release, Amazon Q Developer introduces new capabilities including support for additional ML use cases, enhanced data analysis, and improved responsiveness.
In addition to regression and classification predictive models, starting today users can build time-series models with Amazon Q Developer to support use cases such as forecasting product sales and resource demand. In addition, Amazon Q Developer now analyzes up to 25,000 rows of data for statistical computations on dataset features, while offering simplified customization of AutoML model training configurations to balance speed and accuracy. Additionally, Amazon Q Developer also delivers faster response times, resulting in more efficient guidance throughout the ML lifecycle, from data preparation to model deployment.
Amazon Q Developer is now generally available in Amazon SageMaker Canvas in a total of 11 AWS Regions with today’s launch of five additional Regions: US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Europe (Ireland). To learn more about using Amazon Q Developer with SageMaker Canvas, visit the website or view the technical documentation.
Today, we are announcing that Amazon Q Developer is generally available in Amazon SageMaker Canvas. Amazon Q Developer provides generative AI-powered assistance throughout the machine learning (ML) lifecycle, enabling users of all skill levels to build production-ready ML models using natural language. With this release, Amazon Q Developer introduces new capabilities including support for additional ML use cases, enhanced data analysis, and improved responsiveness. In addition to regression and classification predictive models, starting today users can build time-series models with Amazon Q Developer to support use cases such as forecasting product sales and resource demand. In addition, Amazon Q Developer now analyzes up to 25,000 rows of data for statistical computations on dataset features, while offering simplified customization of AutoML model training configurations to balance speed and accuracy. Additionally, Amazon Q Developer also delivers faster response times, resulting in more efficient guidance throughout the ML lifecycle, from data preparation to model deployment. Amazon Q Developer is now generally available in Amazon SageMaker Canvas in a total of 11 AWS Regions with today’s launch of five additional Regions: US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Europe (Ireland). To learn more about using Amazon Q Developer with SageMaker Canvas, visit the website or view the technical documentation.
Today, AWS IoT Device Defender introduced two features to simplify IoT certificate lifecycle management – a new audit check for certificate age and enhancements to the existing device certificate expiring audit check. The new audit check for certificate age allows developers to monitor and receive alerts based on a certificate’s age, regardless of its expiration date. Additionally, the device certificate expiring audit check now supports new configuration options, allowing developers to set custom alert durations before certificate expiration.
Regularly rotating certificates is a critical security practice that mitigates risks from compromised credentials and prevents unexpected connectivity disruptions due to expired certificates in IoT devices used in various solutions, including automotive, smart home, and industrial segments. The new features facilitate scheduled certificate rotation and proactive credential management, making it easier for developers to adhere to industry regulations and security standards while maintaining greater control over the lifecycle of their IoT credentials.
These features are available to AWS IoT Device Defender customers in all regions where the service is offered. For more information, please refer to the AWS IoT Device Defender documentation.
Today, AWS IoT Device Defender introduced two features to simplify IoT certificate lifecycle management – a new audit check for certificate age and enhancements to the existing device certificate expiring audit check. The new audit check for certificate age allows developers to monitor and receive alerts based on a certificate’s age, regardless of its expiration date. Additionally, the device certificate expiring audit check now supports new configuration options, allowing developers to set custom alert durations before certificate expiration. Regularly rotating certificates is a critical security practice that mitigates risks from compromised credentials and prevents unexpected connectivity disruptions due to expired certificates in IoT devices used in various solutions, including automotive, smart home, and industrial segments. The new features facilitate scheduled certificate rotation and proactive credential management, making it easier for developers to adhere to industry regulations and security standards while maintaining greater control over the lifecycle of their IoT credentials. These features are available to AWS IoT Device Defender customers in all regions where the service is offered. For more information, please refer to the AWS IoT Device Defender documentation.
De manera reciente, el equipo de marca de Microsoft se embarcó en un recorrido para redefinir toda la identidad visual de Microsoft a través del color, para transformar la forma en que las personas se sienten acerca de Microsoft y para conectarse a nivel emocional con más personas, en más lugares.
La antigua paleta de colores de Microsoft carecía de relevancia. Era una paleta creada de manera metódica que abarcaba la rueda de colores e incluía colores primarios, secundarios y terciarios básicos. Aunque era colorida, no lograba evocar emociones ni conectar con los usuarios. De hecho, la paleta parecía definida por lo que la gente «no podía» hacer con ella. Para que Microsoft resonara con audiencias diversas y globales, eso tenía que cambiar, y se tenía que empezar por los colores saturados azules y grises heredados. «No hablaban de quiénes somos», dice el director creativo Steve Foyle. «Nos describimos a nosotros mismos como una marca colorida, pero ese mensaje no llegaba».
La paleta anterior de Microsoft
Al mismo tiempo, no queríamos tan solo tirar a la basura nuestros colores heredados. «Nuestra intención era aumentarlos a través de probar una variedad de tonos relacionados con temas de autenticidad, equidad, creatividad consciente y la conexión de la humanidad con la Tierra», dice el director creativo global Sven Seger. Los nuevos colores necesitaban ser canalizados a través de esos principios para crear una paleta conceptual y las combinaciones tonales correctas.
Un paisaje de marca monocromático que se inclinaba hacia el azul y la frescura
La clave de la nueva estrategia de color era influir en la forma en que los diseñadores utilizaban el color en su trabajo. Según Seger, había una brecha entre lo que los diseñadores necesitaban expresar y lo que tenían que trabajar, es decir, las viejas herramientas y la paleta de colores. Se necesitaban nuevas herramientas para expresar un punto de vista en el tono y la manera adecuados. Foyle subraya que los nuevos colores tenían que ofrecer definición, flexibilidad, fluidez y libertad, para permitir a los diseñadores interpretarlos según sus necesidades y productos específicos.
«Queríamos que nuestros diseñadores fueran más intencionales y reflexivos en la forma en que usaban el color», dijo Foyle.
Por lo tanto, el equipo tenía como objetivo impulsar el amor por la marca Microsoft a través de una paleta reimaginada, desafiándose a sí mismo para evolucionar la posición de marca de Microsoft y las percepciones de la audiencia a nivel mundial. E invitaron a socios a unirse a ellos en el camino: Pantone, reconocido por su sistema de combinación de colores, y Franklin Till, pronosticador de tendencias para tendencias y perspectivas de diseño emergentes.
Colores con propósito: Humano, Vibrante y Dimensional
Después de un estudio meticuloso de la relación de nuestra marca con el color, los equipos se basaron de manera respectiva en macrotendencias y aprovecharon el espíritu cultural más amplio para presentar un panorama global del color a un público más amplio. Reflejaba quién era Microsoft e informaba la estrategia para su trabajo creativo. Después de explorar más a fondo los cambios de comportamiento, las mentalidades y las tendencias de diseño, relacionaron sus conocimientos con los principios creativos de Microsoft para desarrollar y definir una paleta estratégica que capture la esencia de lo humano, lo vibrante y lo dimensional.
Humano: Una paleta matizada presenta combinaciones armoniosas y tonales que abarcan la complejidad del individuo. Una tierra floreciente y la belleza de estar vivo se celebran con colores cálidos, no binarios y neutros.
Vibrante: Los colores llamativos y saturados llaman la atención. Catalizan el impulso y utilizan la creatividad como herramienta para el cambio al desafiar la conformidad con combinaciones audaces, lúdicas e inesperadas.
Dimensional: Los colores son silenciosos y matizados, lo que agrega una sensación de claridad sofisticada a las aplicaciones. Invitan a la introspección, la reflexión y la conexión con un mundo rico y estratificado.
«La nueva paleta de colores da a los diseñadores de Microsoft la capacidad de crear una dinámica en verdad única», dijo el director creativo principal, Alexis Copeland. La nueva orientación y los tonos ofrecen la definición, la flexibilidad, la fluidez y la libertad que los diseñadores esperaban.
Desafiar las percepciones de la vitalidad
El director creativo del grupo, Samuel Clarke, se pregunta por qué la industria tecnológica tiene una mentalidad tan digital: «Mis ojos nunca ven ese nivel de intensidad fuera de la pantalla de mi ordenador… que no es algo real». Entonces, ¿dónde se encuentran justo los CMYK (cian, magenta, amarillo, negro clave) y el RGB (rojo, verde, azul)? En otras palabras, ¿cómo conectamos mejor las aplicaciones digitales de color con el mundo físico?
Como revelaría la investigación del equipo, los colores naturales complejos y matizados abren nuestra visión colectiva para ver más allá de las creencias arraigadas, las nociones preconcebidas y las pantallas brillantes que nos influyen. Los colores desvaídos solían verse como insípidos o pasivos; ahora encarnan cualidades humanas. Son táctiles y tangibles, añaden emoción y conciencia a nuestros productos digitales y físicos.
Algunos de los comentarios inmediatos de los diseñadores fueron que nuestros principios de «humano» y «dimensional» deberían ser táctiles y cálidos. La paleta tenía que representar texturas del mundo real, como la suavidad de un pañuelo rosa o la sensación tosca de un ladrillo rojo. «Vibrante» era una propuesta más complicada. Dado que nuestra antigua paleta consistía en su mayoría de colores demasiado saturados, el equipo decidió moverse en la dirección opuesta. «Estar vibrante todo el tiempo es agotador», dijo el director de arte Phil Evans. Por lo tanto, el equipo aterrizó en tonos más suaves y neutros, una elección poco convencional.
La nueva orientación y los tonos ofrecen la definición, la flexibilidad, la fluidez y la libertad que los diseñadores han estado esperando.
Una paleta para las personas
Los nuevos colores de la marca Microsoft no son solo píxeles en una pantalla, son emociones, historias y conexiones. La evolución no es solo una cuestión estética. La paleta ahora se dirige a más audiencias y contextos, lo que transmite tanto información como emoción. Y permite a los diseñadores navegar por el color con una lógica que se conecta con la estrategia de Microsoft, inspirándolos a usar nuestra expresión visual para comunicarse de maneras más esenciales.
Nuestros colores son relevantes para el momento presente y perdurables, emblemáticos de nuestras creencias de que los derechos humanos fundamentales y un futuro sostenible deben ser protegidos. Ser humano, vibrante y dimensional es estar vivo, y la diversidad en los neutrales no binarios celebra la amplitud de la humanidad. Reformular la definición convencional de lo que significa ser colorido es reforzar nuestros valores fundamentales al establecer una paleta de colores que refleja un mundo asombroso y transformador.
La nueva paleta de colores influyó en todo, desde la fotografía, la ilustración, el 3D y más.
