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.
Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for MySQL and RDS for MariaDB database engines. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next.
This launch allows you to analyze database performance monitoring data for a time period of your choice. You can learn how the selected time period differs from normal, what went wrong, and get advice on corrective actions. Through simple-to-understand graphs and explanations, you can identify the chief contributors to performance issues. You will also get guidance on the next steps to act on these issues. This can reduce the mean-time-to-diagnosis for database performance issues from hours to minutes.
You can get started with this feature by enabling the Advanced mode of Database Insights on your RDS for MySQL or RDS for MariaDB databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of this feature across different RDS and Aurora engines, respectively. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis.
Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for MySQL and RDS for MariaDB database engines. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. This launch allows you to analyze database performance monitoring data for a time period of your choice. You can learn how the selected time period differs from normal, what went wrong, and get advice on corrective actions. Through simple-to-understand graphs and explanations, you can identify the chief contributors to performance issues. You will also get guidance on the next steps to act on these issues. This can reduce the mean-time-to-diagnosis for database performance issues from hours to minutes. You can get started with this feature by enabling the Advanced mode of Database Insights on your RDS for MySQL or RDS for MariaDB databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of this feature across different RDS and Aurora engines, respectively. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. CloudWatch Database Insights is available in all commercial AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights User Guide.
Amazon Relational Database (RDS) for Db2 now supports M7i and R7i database instance types. M7i and R7i are the latest Intel-based offering and are available with a new maximum instance size of 48xlarge, which brings 50% more vCPU and memory than the maximum size of M6i and R6i instance types.
M7i and R7i instances are available for Amazon RDS for Db2 in Bring-Your-Own-License (BYOL) model and in hourly Db2 licensing model available through AWS Marketplace. You can launch the new database instance in the Amazon RDS Management Console or using the AWS CLI.
Amazon RDS for Db2 is a fully managed commercial database that makes it easy to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing for pricing details and regional availability.
Amazon Relational Database (RDS) for Db2 now supports M7i and R7i database instance types. M7i and R7i are the latest Intel-based offering and are available with a new maximum instance size of 48xlarge, which brings 50% more vCPU and memory than the maximum size of M6i and R6i instance types. M7i and R7i instances are available for Amazon RDS for Db2 in Bring-Your-Own-License (BYOL) model and in hourly Db2 licensing model available through AWS Marketplace. You can launch the new database instance in the Amazon RDS Management Console or using the AWS CLI. Amazon RDS for Db2 is a fully managed commercial database that makes it easy to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing for pricing details and regional availability.
AWS Batch now supports job scheduling that takes into account consumable resources (CRs) such as third-party license tokens, database access bandwidth, budgetary limits, and more. With resource aware scheduling you can set up sets of tokens representing these resources, which will then be consumed by the running AWS Batch jobs. This will help you reduce job failures and wasted compute time caused by missing or rate-limited resources, which in turn will improve utilization of infrastructure and reduce costs.
You can create, manage, and monitor consumption of your CRs using AWS Batch Management Console or the new AWS Batch consumable resource APIs such as CreateConsumableResource, DescribeConsumableResource, UpdateConsumableResource, DeleteConsumableResource, and ListJobsByConsumableResource. Once you set up your consumable resources, you can associate up to 5 CRs with your AWS Batch jobs while creating or updating AWS Batch job definitions. For more information, see Consumable Resources page in the AWS Batch User Guide, AWS Batch API Reference, and our AWS HPC Blog post.
AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Resource aware scheduling is available for all types of AWS Batch compute environments in any AWS Region where AWS Batch is available.
AWS Batch now supports job scheduling that takes into account consumable resources (CRs) such as third-party license tokens, database access bandwidth, budgetary limits, and more. With resource aware scheduling you can set up sets of tokens representing these resources, which will then be consumed by the running AWS Batch jobs. This will help you reduce job failures and wasted compute time caused by missing or rate-limited resources, which in turn will improve utilization of infrastructure and reduce costs. You can create, manage, and monitor consumption of your CRs using AWS Batch Management Console or the new AWS Batch consumable resource APIs such as CreateConsumableResource, DescribeConsumableResource, UpdateConsumableResource, DeleteConsumableResource, and ListJobsByConsumableResource. Once you set up your consumable resources, you can associate up to 5 CRs with your AWS Batch jobs while creating or updating AWS Batch job definitions. For more information, see Consumable Resources page in the AWS Batch User Guide, AWS Batch API Reference, and our AWS HPC Blog post. AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Resource aware scheduling is available for all types of AWS Batch compute environments in any AWS Region where AWS Batch is available.
Amazon EC2 announces the general availability of Time-based Copy for Amazon Machine Images (AMIs). Similar to Time-based Copy for EBS snapshots , this feature enables customers to meet their compliance objectives by ensuring that AMIs are copied within and across AWS Regions within a specified duration.
Prior to today, customers could not predict or control the duration of their AMI copy operations, making it challenging for them to meet their recovery time objectives for disaster recovery and compliance purposes. Now with this capability, customers can specify a desired completion duration, ranging from 15 minutes to 48 hours, for individual AMI copy requests. Customers can also monitor their AMI Copy operations via EventBridge and the new SnapshotCopyBytesTransferred CloudWatch metric, available by default at a 1-minute frequency for no additional charge.
Time-based Copy for AMIs is available in all AWS commercial Regions and the AWS GovCloud (US) Regions, through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. For pricing information, please visit the EBS pricing page. To learn more, see the technical documentation for Time-based Copy for AMIs.
Amazon EC2 announces the general availability of Time-based Copy for Amazon Machine Images (AMIs). Similar to Time-based Copy for EBS snapshots , this feature enables customers to meet their compliance objectives by ensuring that AMIs are copied within and across AWS Regions within a specified duration. Prior to today, customers could not predict or control the duration of their AMI copy operations, making it challenging for them to meet their recovery time objectives for disaster recovery and compliance purposes. Now with this capability, customers can specify a desired completion duration, ranging from 15 minutes to 48 hours, for individual AMI copy requests. Customers can also monitor their AMI Copy operations via EventBridge and the new SnapshotCopyBytesTransferred CloudWatch metric, available by default at a 1-minute frequency for no additional charge. Time-based Copy for AMIs is available in all AWS commercial Regions and the AWS GovCloud (US) Regions, through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. For pricing information, please visit the EBS pricing page. To learn more, see the technical documentation for Time-based Copy for AMIs.
Amazon Connect has reduced prices for Vietnam in the Asia Pacific (Singapore) region. This includes price reductions of Direct Inward Dial (DID) minutes by 95% from $0.0815/min to $0.004/min, and Outbound minutes by 44% from $0.0896/min to $0.05/min.
The new Telephony Rates are now available as part of the standard pricing for Amazon Connect service usage for the Asia Pacific (Singapore) region. To see all AWS Regions where Amazon Connect is available, see the AWS Region table. Visit the Amazon Connect website for more information.
Amazon Connect has reduced prices for Vietnam in the Asia Pacific (Singapore) region. This includes price reductions of Direct Inward Dial (DID) minutes by 95% from $0.0815/min to $0.004/min, and Outbound minutes by 44% from $0.0896/min to $0.05/min. The new Telephony Rates are now available as part of the standard pricing for Amazon Connect service usage for the Asia Pacific (Singapore) region. To see all AWS Regions where Amazon Connect is available, see the AWS Region table. Visit the Amazon Connect website for more information.
Starting today, the FPGA-powered Amazon EC2 F2 instances are now available in the Asia Pacific (Sydney) region. F2 instances are the second generation of FPGA powered instances and are the first to feature an FPGA with 16 GB of high bandwidth memory (HBM). Compared to F1 instances, the F2 instances have up to 3x vCPUs (192 vCPUS), 2x system memory (2 TB), 2x SSD space (7.6 TiB), and 4x networking bandwidth (100 Gbps). Amazon EC2 F2 instances are ideal for FPGA-accelerated solutions in genomics, multimedia processing, big data, network acceleration, and more.
With this additional region, F2 instances are now available in US East (N. Virginia), US West (Oregon), Europe (London), and Asia Pacific (Sydney). These instances can be purchased as either Savings Plans or On-Demand instances. To learn more, visit the Amazon EC2 F2 Instances page and F2 FPGA development kit GitHub page.
Starting today, the FPGA-powered Amazon EC2 F2 instances are now available in the Asia Pacific (Sydney) region. F2 instances are the second generation of FPGA powered instances and are the first to feature an FPGA with 16 GB of high bandwidth memory (HBM). Compared to F1 instances, the F2 instances have up to 3x vCPUs (192 vCPUS), 2x system memory (2 TB), 2x SSD space (7.6 TiB), and 4x networking bandwidth (100 Gbps). Amazon EC2 F2 instances are ideal for FPGA-accelerated solutions in genomics, multimedia processing, big data, network acceleration, and more. With this additional region, F2 instances are now available in US East (N. Virginia), US West (Oregon), Europe (London), and Asia Pacific (Sydney). These instances can be purchased as either Savings Plans or On-Demand instances. To learn more, visit the Amazon EC2 F2 Instances page and F2 FPGA development kit GitHub page.
