AWS Compute Optimizer now identifies idle resources for Amazon DynamoDB provisioned tables, Amazon ElastiCache (Redis and Valkey), Amazon MemoryDB, Amazon DocumentDB (provisioned and serverless), Amazon WorkSpaces, and Amazon SageMaker endpoints. This expansion enables you to detect unused resources across more of your AWS environment and identify potential cost savings.

Compute Optimizer analyzes utilization metrics to determine whether a resource is idle. Customers can set this lookback period based on the nature of their workloads. For each resource type, Compute Optimizer evaluates service-specific signals such as consumed capacity, cache hits, active connections, and CPU utilization. When Compute Optimizer identifies potential idle resources, it surfaces these recommendations, along with detailed utilization metrics and estimated savings in the console, enabling you to evaluate recommendations before acting. You can also view idle resource recommendations across all AWS accounts in your organization through the Cost Optimization Hub, with de-duplicated estimated savings with other recommendations on the same resources.

For more information about the AWS Regions where Compute Optimizer is available, see the AWS Region table. For more information about AWS Compute Optimizer, visit our product page and documentation. You can start using AWS Compute Optimizer through the AWS Management Console, AWS CLI, and AWS SDK.

​AWS Compute Optimizer now identifies idle resources for Amazon DynamoDB provisioned tables, Amazon ElastiCache (Redis and Valkey), Amazon MemoryDB, Amazon DocumentDB (provisioned and serverless), Amazon WorkSpaces, and Amazon SageMaker endpoints. This expansion enables you to detect unused resources across more of your AWS environment and identify potential cost savings.
Compute Optimizer analyzes utilization metrics to determine whether a resource is idle. Customers can set this lookback period based on the nature of their workloads. For each resource type, Compute Optimizer evaluates service-specific signals such as consumed capacity, cache hits, active connections, and CPU utilization. When Compute Optimizer identifies potential idle resources, it surfaces these recommendations, along with detailed utilization metrics and estimated savings in the console, enabling you to evaluate recommendations before acting. You can also view idle resource recommendations across all AWS accounts in your organization through the Cost Optimization Hub, with de-duplicated estimated savings with other recommendations on the same resources.
For more information about the AWS Regions where Compute Optimizer is available, see the AWS Region table. For more information about AWS Compute Optimizer, visit our product page and documentation. You can start using AWS Compute Optimizer through the AWS Management Console, AWS CLI, and AWS SDK.  

Effective today, Amazon MSK Express Brokers support automatic topic creation with Kafka Streams. Customers can now deploy their Kafka Streams applications on Express Brokers without needing to manually pre-create or manage topics for stateful operations.

MSK Express Brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent. Kafka Streams uses topics to store state and repartition data for stateful operations. Previously, customers running Kafka Streams with Express Brokers had to manually name and pre-create these topics before deploying their application. With this launch, these topics are created automatically when the application starts, simplifying deployment and reducing operational setup for Kafka Streams applications on Express Brokers.

This capability is available today in all AWS regions where MSK Express Brokers are available. No additional configuration or setup is required to get started. To learn more, see Amazon MSK Developer Guide.

​Effective today, Amazon MSK Express Brokers support automatic topic creation with Kafka Streams. Customers can now deploy their Kafka Streams applications on Express Brokers without needing to manually pre-create or manage topics for stateful operations. MSK Express Brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent. Kafka Streams uses topics to store state and repartition data for stateful operations. Previously, customers running Kafka Streams with Express Brokers had to manually name and pre-create these topics before deploying their application. With this launch, these topics are created automatically when the application starts, simplifying deployment and reducing operational setup for Kafka Streams applications on Express Brokers. This capability is available today in all AWS regions where MSK Express Brokers are available. No additional configuration or setup is required to get started. To learn more, see Amazon MSK Developer Guide.  

Amazon DocumentDB (with MongoDB compatibility) now supports engine minor versions, starting with 5.0.1. This release delivers enhanced aggregation capabilities with new operators ($rand, $pow, $dateToParts, $dateFromParts), the active connections metric to monitor instances, and granular command-level performance metrics in CloudWatch (find, insert, findAndModify, update, etc.). For a full list of what’s included, see release notes. Minor versions provide new features and bug fixes within the same major version, giving you more control over when and how you upgrade your clusters. We recommend upgrading to the latest minor version to benefit from these performance enhancements, bug fixes, and new capabilities.

You can specify minor version 5.0.1 when creating a new cluster, or manually upgrade an existing 5.0.0 cluster to 5.0.1 using the AWS Management Console or AWS CLI (via the modify-db-cluster command with –engine-version 5.0.1). Once you upgrade to a newer minor version, you cannot downgrade back to a previous minor version. Upgrading from 5.0.0 (LTS) to 5.0.1 gives you access to the latest features and fixes, but you will no longer be on the LTS track. If minimizing upgrades is your priority, you should remain on LTS. For more information, see Using a long-term support (LTS) release.

Amazon DocumentDB engine minor version 5.0.1 is available in all AWS Regions where Amazon DocumentDB 5.0 is available. Learn more about minor version upgrades and version support dates in the Amazon DocumentDB Developer Guide. Create or update a fully managed Amazon DocumentDB cluster in the Amazon DocumentDB Management Console.

​Amazon DocumentDB (with MongoDB compatibility) now supports engine minor versions, starting with 5.0.1. This release delivers enhanced aggregation capabilities with new operators ($rand, $pow, $dateToParts, $dateFromParts), the active connections metric to monitor instances, and granular command-level performance metrics in CloudWatch (find, insert, findAndModify, update, etc.). For a full list of what’s included, see release notes. Minor versions provide new features and bug fixes within the same major version, giving you more control over when and how you upgrade your clusters. We recommend upgrading to the latest minor version to benefit from these performance enhancements, bug fixes, and new capabilities. You can specify minor version 5.0.1 when creating a new cluster, or manually upgrade an existing 5.0.0 cluster to 5.0.1 using the AWS Management Console or AWS CLI (via the modify-db-cluster command with –engine-version 5.0.1). Once you upgrade to a newer minor version, you cannot downgrade back to a previous minor version. Upgrading from 5.0.0 (LTS) to 5.0.1 gives you access to the latest features and fixes, but you will no longer be on the LTS track. If minimizing upgrades is your priority, you should remain on LTS. For more information, see Using a long-term support (LTS) release. Amazon DocumentDB engine minor version 5.0.1 is available in all AWS Regions where Amazon DocumentDB 5.0 is available. Learn more about minor version upgrades and version support dates in the Amazon DocumentDB Developer Guide. Create or update a fully managed Amazon DocumentDB cluster in the Amazon DocumentDB Management Console.  

junio 8, 2026

• Categoría: Noticias de Microsoft

¿Boletos falsos o QR sospechosos?

5 tips para evitar fraudes digitales en eventos deportivos

• Source LATAM

Ciudad de México – Cuando sube la emoción, también crece el riesgo. Los grandes eventos deportivos no solo reúnen a millones de aficionados, también se convierten en uno de los momentos de mayor actividad para el fraude digital. La búsqueda de boletos, las transmisiones en vivo y la conversación constante en redes abren la puerta al cibercrimen. De acuerdo con el Informe de Defensa Digital de Microsoft 2025, Microsoft procesa más de 100 billones de señales de seguridad al día y bloquea alrededor de 4.5 millones de archivos de malware nuevos diariamente a nivel global.

Ya sea que sigas los partidos desde tu computadora, participes en redes o asistas al estadio, la experiencia deportiva ocurre conectada. En eventos presenciales, el uso de redes Wi‑Fi abiertas y la necesidad de acceder rápido a boletos, accesos o promociones digitales elevan la exposición. Mantener hábitos digitales informados te permite disfrutar cada jugada con mayor tranquilidad. Para acompañar la emoción desde la patada inicial hasta el tiempo extra, Microsoft comparte cinco recomendaciones para proteger tus datos, cuentas y dispositivos sin perderte el partido:

1. Escanea solo códigos QR confiables. Los códigos QR están en todos lados: accesos, promociones y dinámicas. Antes de escanear, verifica que provengan de fuentes oficiales o de plataformas reconocidas para evitar redirecciones a sitios falsos.
2. Conéctate desde redes seguras. Ya sea en casa, en un restaurante o en un lugar público, evita comprar o iniciar sesión con datos sensibles desde redes Wi‑Fi abiertas. Siempre que puedas, usa datos móviles o una red privada.
3. Añade una capa extra de protección en espacios públicos. Si te conectas en lugares con mucha gente, como estadios o bares, considera usar una VPN. Esto ayuda a proteger tu información mientras navegas o realizas transacciones.
4. Verifica los sitios antes de ingresar. Si buscas boletos o transmisiones, escribe directamente la dirección del sitio en tu navegador o entra desde canales oficiales. Esto reduce el riesgo de caer en páginas falsas.
5. Descarga apps solo desde tiendas oficiales. Las apps deportivas y de streaming son parte de la experiencia. Descárgalas únicamente desde tiendas oficiales y revisa los permisos antes de instalarlas para mantener el control de tu información personal.

Durante eventos deportivos de alcance global, la recomendación es clara y aplica para cada mensaje, correo o enlace que prometa beneficios extraordinarios: nunca confío, siempre verifico. Una pausa breve antes de hacer clic ayuda a confirmar el origen y la legitimidad de cada oferta.

Disfrutar del deporte también implica tomar decisiones digitales informadas. Porque hoy, proteger datos e identidad digital también forma parte del juego.

###

Acerca de Microsoft

Microsoft (Nasdaq «MSFT» @microsoft) crea plataformas y herramientas impulsadas por la IA para ofrecer soluciones innovadoras que satisfagan las necesidades cambiantes de nuestros clientes. La empresa de tecnología está comprometida con hacer que la IA esté ampliamente disponible, de manera responsable, con la misión de empoderar a cada persona y a cada organización en el planeta para lograr más.

Contacto de prensa:    

Microsoft                                                           Assembly México     

Tere Rodríguez                                                   microsoftMexico@assemblyinc.com      

teresar@microsoft.com                           55 5350 1500     

Etiquetas:

• México
• Press Releases
• Seguridad

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Today, AWS announces target coverage analysis in Savings Plans Purchase Analyzer, a capability in AWS Billing and Cost Management that helps you plan your Savings Plans purchases based on your coverage target. Savings Plans Purchase Analyzer helps you evaluate different purchase scenarios by estimating the potential impact of Savings Plans purchases on cost, coverage, utilization, and savings.

With target coverage analysis, you can set a specific percentage of On-Demand spend to be covered by Savings Plans. Savings Plans Purchase Analyzer uses your historical usage to recommend a new purchase amount to help you reach that target. You can further customize your analysis using parameters such as custom lookback period or excluding expiring Savings Plans, and compare cost, coverage, utilization, and savings across different coverage targets. You can view your recommendations through interactive charts or access your target coverage analysis via the Purchase Analyzer API.

Target coverage analysis is available in all AWS Regions where Savings Plans Purchase Analyzer is available. To learn more, visit the AWS Savings Plans page and user guide.

​Today, AWS announces target coverage analysis in Savings Plans Purchase Analyzer, a capability in AWS Billing and Cost Management that helps you plan your Savings Plans purchases based on your coverage target. Savings Plans Purchase Analyzer helps you evaluate different purchase scenarios by estimating the potential impact of Savings Plans purchases on cost, coverage, utilization, and savings. With target coverage analysis, you can set a specific percentage of On-Demand spend to be covered by Savings Plans. Savings Plans Purchase Analyzer uses your historical usage to recommend a new purchase amount to help you reach that target. You can further customize your analysis using parameters such as custom lookback period or excluding expiring Savings Plans, and compare cost, coverage, utilization, and savings across different coverage targets. You can view your recommendations through interactive charts or access your target coverage analysis via the Purchase Analyzer API. Target coverage analysis is available in all AWS Regions where Savings Plans Purchase Analyzer is available. To learn more, visit the AWS Savings Plans page and user guide.  

Amazon Aurora DSQL introduces support for the PostgreSQL JSONB data type with optional compression. You can now use code and tools that depend on PostgreSQL’s JSONB type with Aurora DSQL, making it easier to store semi-structured data alongside relational data.

You can use the JSONB data type when creating or modifying tables to store semi-structured data such as system configuration metadata, API parameters, and event logs. With PostgreSQL compression enabled by default, larger JSONB payloads are stored more efficiently, helping reduce storage costs.

Get started with Aurora DSQL for free with the AWS Free Tier. For information about Regional availability, see the AWS Region table. You can learn more about Aurora DSQL data types, including JSONB, here.

​Amazon Aurora DSQL introduces support for the PostgreSQL JSONB data type with optional compression. You can now use code and tools that depend on PostgreSQL’s JSONB type with Aurora DSQL, making it easier to store semi-structured data alongside relational data. You can use the JSONB data type when creating or modifying tables to store semi-structured data such as system configuration metadata, API parameters, and event logs. With PostgreSQL compression enabled by default, larger JSONB payloads are stored more efficiently, helping reduce storage costs. Get started with Aurora DSQL for free with the AWS Free Tier. For information about Regional availability, see the AWS Region table. You can learn more about Aurora DSQL data types, including JSONB, here.  

AWS Application Migration Service (MGN) is now available as AWS Transform MGN. This name change reflects MGN’s role as the proven replication engine powering AWS Transform, the agentic migration service.

You can choose between two rehosting experiences. Use the AWS Transform MGN console for direct control over replication and cutover. Or use the AWS Transform agentic workflow, where an agent handles discovery, wave planning, landing zone setup, network creation, and rehosting or containerization on your behalf, accelerating your path to AWS.

AWS Transform MGN retains all of its existing compliance certifications, including FedRAMP High, HIPAA, PCI DSS, ISO, and SOC 1, 2, and 3, so you can migrate with confidence. It is available in all commercial regions and both GovCloud (US) Regions.

Visit the AWS Transform MGN product page and AWS Transform MGN documentation for more information on how to rehost applications to AWS.

​AWS Application Migration Service (MGN) is now available as AWS Transform MGN. This name change reflects MGN’s role as the proven replication engine powering AWS Transform, the agentic migration service. You can choose between two rehosting experiences. Use the AWS Transform MGN console for direct control over replication and cutover. Or use the AWS Transform agentic workflow, where an agent handles discovery, wave planning, landing zone setup, network creation, and rehosting or containerization on your behalf, accelerating your path to AWS. AWS Transform MGN retains all of its existing compliance certifications, including FedRAMP High, HIPAA, PCI DSS, ISO, and SOC 1, 2, and 3, so you can migrate with confidence. It is available in all commercial regions and both GovCloud (US) Regions. Visit the AWS Transform MGN product page and AWS Transform MGN documentation for more information on how to rehost applications to AWS.  

Amazon Redshift announces a new billing model for manual snapshots on Amazon Redshift Serverless and Amazon Redshift RG instances. With this enhancement, Amazon Redshift now meters manual snapshot storage based on the unique data blocks stored across your snapshots rather than the total size of each individual snapshot. This results in lower manual snapshot costs for customers who maintain multiple snapshots.

Customers who maintain multiple manual snapshots for disaster recovery, testing, or long-term retention will see reduced storage costs. With this new billing model, you can take more frequent manual snapshots to achieve a better recovery point objective (RPO) without proportional cost increases, enabling more robust disaster recovery strategies. The new billing model automatically applies to both existing and new manual snapshots.

The new manual snapshot billing model is available in all AWS commercial and AWS GovCloud (US) Regions where Amazon Redshift Serverless and Amazon Redshift RG instances are available. To learn more about Amazon Redshift snapshots, please visit our documentation or the blog.

​Amazon Redshift announces a new billing model for manual snapshots on Amazon Redshift Serverless and Amazon Redshift RG instances. With this enhancement, Amazon Redshift now meters manual snapshot storage based on the unique data blocks stored across your snapshots rather than the total size of each individual snapshot. This results in lower manual snapshot costs for customers who maintain multiple snapshots. Customers who maintain multiple manual snapshots for disaster recovery, testing, or long-term retention will see reduced storage costs. With this new billing model, you can take more frequent manual snapshots to achieve a better recovery point objective (RPO) without proportional cost increases, enabling more robust disaster recovery strategies. The new billing model automatically applies to both existing and new manual snapshots. The new manual snapshot billing model is available in all AWS commercial and AWS GovCloud (US) Regions where Amazon Redshift Serverless and Amazon Redshift RG instances are available. To learn more about Amazon Redshift snapshots, please visit our documentation or the blog.  

• Categoría: Noticias de Microsoft

junio 8, 2026

Anunciamos al Campeón Mundial de la Imagine Cup 2026

Tras meses de crear, presentar e impulsar sus startups, se ha coronado al Campeón Mundial de la Imagine Cup 2026. ¡Enhorabuena a CopyFlag!

Por

• Federico Rodriguez

Por: Equipo de Student Developer.

El 2 de junio, en Microsoft Build, estudiantes fundadores de todo el mundo presenciaron en vivo cómo se revelaba en directo al ganador de este año. Presentado por Dona Sarkar de Microsoft Enterprise AI Advocacy, el Imagine Cup World Championship reunió a una audiencia global de desarrolladores, fundadores, inversores y líderes tecnológicos, mientras Hans Yang, vicepresidente de Microsoft para Startups y Programas Microsoft Learn, anunció al Campeón Mundial de la Imagine Cup 2026. Las tres últimas startups mostraron soluciones audaces a problemas significativos a través de la IA.

Desarrollado por Patrick Brown de la Universidad de Oxford, CopyFlag permite a los creadores proteger su trabajo original en la era de la IA generativa. A través de modelos de IA impulsados por Azure, la plataforma detecta contenido copiado y modificado por IA en toda internet, para ayudar a los creadores a identificar infracciones más rápido y automatizar las retiradas a gran escala.

La startup ganadora recibió 150.000 dólares estadounidenses, en una sesión de mentoría con el presidente y CEO de Microsoft, Satya Nadella, y la oportunidad de seguir con su crecimiento a través de Microsoft para startups. Además, el Campeón del Mundo recibió 6 meses adicionales y otros 5.000 dólares estadounidenses en créditos de Replit para continuar con la construcción de lo que viene después.

Pero el Campeonato Mundial nunca se trataba solo de un momento en el escenario. Representó meses de iteración, colaboración, aprendizaje y resiliencia por parte de estudiantes fundadores que construyen soluciones con impacto real.

Los finalistas de este año mostraron cómo los estudiantes aplican la IA en sectores como la protección de creadores, la sanidad y la inteligencia de la cadena de suministro; no solo imaginar en qué podría llegar a ser la tecnología, sino desarrollarla de manera activa.

Presentamos al Campeón Mundial de la Imagine Cup 2026: CopyFlag

CopyFlag redefine cómo los creadores protegen su trabajo en línea. A medida que el contenido generado y modificado por IA continúa su escala, los creadores a menudo carecen de las herramientas para identificar dónde se copia, altera o redistribuye el trabajo original.

CopyFlag utiliza modelos de IA basados en Azure para detectar tanto copias directas como derivados modificados por IA, lo que ayuda a los creadores a rastrear el uso indebido entre plataformas y automatizar los flujos de trabajo de aplicación en cuestión de minutos.

Lo que comenzó a partir de la experiencia personal de Patrick al tener su propio trabajo copiado en línea evolucionó hacia una misión para hacer que las herramientas avanzadas de protección fueran accesibles más allá de las marcas y empresas más grandes del mundo.

Al combinar IA, reconocimiento de patrones y sistemas de detección escalables, CopyFlag construyen hacia un futuro en el que los creadores puedan centrarse más en crear y menos en defender su trabajo.

Celebramos a los finalistas mundiales de este año

Revora Health

Universidad Carnegie Mellon – Estados Unidos

Fundado por SUrya Kukkapalli, Revora Health reinventa la fisioterapia y la recuperación a través de la atención guiada por IA. La plataforma conecta pacientes con proveedores licenciados en minutos mientras ofrece soporte multimodal en tiempo real impulsado por Azure Health Data Services y visión por ordenador impulsada por IA.

Construida a partir de la experiencia directa de Surya en su trabajo con clientes que navegan por la recuperación de lesiones, Revora Health se centra en hacer que la atención especializada sea más accesible, conectada y continua más allá del entorno clínico.

SpoilSafe

Universidad Carnegie Mellon – Estados Unidos

Construido por Advika Vuppala, Rohan Ganesh, y Troy McBride; SpoilSafe introduce inteligencia predictiva en la cadena de suministro alimentaria.

Por medio de datos de sensores procesados a través de Azure IoT Hub, Azure Data Explorer, Azure Synapse Analytics y Azure AI Foundry, SpoilSafe ayuda a los equipos a estimar la frescura en tiempo real, lo que permite decisiones operativas más inteligentes y reduce el desperdicio de alimentos antes de que ocurra el deterioro.

Su trabajo representa un cambio de la toma de decisiones reactiva hacia sistemas más resilientes y basados en datos en todo el ecosistema alimentario global.

Más que una competición

Imagine Cup es un escenario global para estudiantes fundadores que construyen startups viables a nivel comercial en las plataformas de nube e IA de Microsoft.

Desde mentoría y formación técnica hasta la visibilidad de inversores y el apoyo a startups, el programa ayuda a los estudiantes a pasar de ideas a empresas escalables mientras aprenden cómo los equipos modernos construyen, iteran y crecen. A través de Microsoft for Startups, los fundadores reciben las herramientas, el apoyo y las oportunidades necesarias para seguir con la creación más allá de la competencia.

El futuro lo construyen estudiantes con la suficiente valentía como para resolver problemas que son buenos para los negocios y buenos para el mundo. Y los finalistas de este año demostraron lo que es posible cuando las grandes ideas se encuentran con la mentoría, la tecnología y el impulso adecuados. ¿Creen que ustedes podrían ser los siguientes? La Imagine Cup 2027 ha comenzado de manera oficial. Aprovechen este verano para construir su MVP, perfeccionar su idea y explorar lo que se necesita para convertir su startup en algo más grande. Infórmense y empiecen hoy mismo.

Publicado en: Student Developer blog.

Etiquetas:

• Eventos
• IA
• Innovación

The post Anunciamos al Campeón Mundial de la Imagine Cup 2026 appeared first on Source LATAM.

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Amazon OpenSearch Serverless now offers Agentic Search — a capability that lets users query their data using natural language. Users simply describe what they are looking for, and the system interprets intent, plans the optimal search strategy, generates the appropriate DSL (domain-specific language) query, and returns results with a transparent explanation of its reasoning.

Users can ask «Find available flights to Tokyo under $800» or «Show top-selling products in the electronics category this month.» Behind the scenes, a built-in QueryPlanningTool powered by large language models (LLMs) translates natural language into DSL queries and orchestrates the right tools to retrieve results. Users can configure and customize behavior through APIs or OpenSearch Dashboards. OpenSearch UI provides a guided experience for creating agents and executing agentic searches, with an application available for each collection accessible from the AWS console.

Agentic Search is available in all AWS Commercial Regions where OpenSearch Serverless is available. See here for a full listing of Regions.

Learn more about Agentic Search, visit the OpenSearch technical documentation.

​Amazon OpenSearch Serverless now offers Agentic Search — a capability that lets users query their data using natural language. Users simply describe what they are looking for, and the system interprets intent, plans the optimal search strategy, generates the appropriate DSL (domain-specific language) query, and returns results with a transparent explanation of its reasoning. Users can ask «Find available flights to Tokyo under $800» or «Show top-selling products in the electronics category this month.» Behind the scenes, a built-in QueryPlanningTool powered by large language models (LLMs) translates natural language into DSL queries and orchestrates the right tools to retrieve results. Users can configure and customize behavior through APIs or OpenSearch Dashboards. OpenSearch UI provides a guided experience for creating agents and executing agentic searches, with an application available for each collection accessible from the AWS console. Agentic Search is available in all AWS Commercial Regions where OpenSearch Serverless is available. See here for a full listing of Regions. Learn more about Agentic Search, visit the OpenSearch technical documentation.