Amazon Elastic Block Store (Amazon EBS) now displays the full snapshot size for EBS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeSnapshots API using the new field, full-snapshot-size-in-bytes. The full snapshot size is also displayed in the EBS Snapshots console under the new ‘Full snapshot size’ column.
Since EBS Snapshots are incremental in nature, if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots. The ‘full snapshot size’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it’s the first snapshot or a subsequent one.
The ‘full snapshot size’ field provides crucial information about your EBS snapshot storage, such as the total size of the snapshot in the archived tier or the amount of data written to the source volume at the time the snapshot was created. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot.
This feature is now generally available in all commercial AWS regions and the AWS GovCloud (US) Regions. To get started, see the EBS Snapshots user guide and API specification.
Amazon Elastic Block Store (Amazon EBS) now displays the full snapshot size for EBS Snapshots. With this enhancement, customers can now retrieve full snapshot sizes programmatically through the DescribeSnapshots API using the new field, full-snapshot-size-in-bytes. The full snapshot size is also displayed in the EBS Snapshots console under the new ‘Full snapshot size’ column. Since EBS Snapshots are incremental in nature, if you take multiple snapshots of a volume over time, each snapshot only stores the new or modified blocks while maintaining references to unchanged blocks from previous snapshots. The ‘full snapshot size’ field shows you the total size of all blocks that make up a snapshot, including both the blocks stored directly in that snapshot and all blocks referenced from previous snapshots. For instance, if you have a 100 GB volume with 50 GB of data, the ‘full snapshot size’ would show 50 GB regardless of whether it’s the first snapshot or a subsequent one. The ‘full snapshot size’ field provides crucial information about your EBS snapshot storage, such as the total size of the snapshot in the archived tier or the amount of data written to the source volume at the time the snapshot was created. Please note that this is different from the incremental snapshot size, which only refers to the size of newly changed blocks stored in that specific snapshot. This feature is now generally available in all commercial AWS regions and the AWS GovCloud (US) Regions. To get started, see the EBS Snapshots user guide and API specification.
Today, we are excited to announce the general availability of Jasmine – new Singaporean English Neural Text-to-Speech (NTTS) female voice for Amazon Polly.
Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk and to build entirely new categories of speech-enabled products.
Jasmine is our first voice for the Singaporean variant of English. Even though Singaporean English is reported to be close to British English, there are some unique pronunciation patterns that we captured while training this voice, such as pronunciation of telephone numbers or postal codes, to make sure that Jasmine sounds like a local speaker. With this launch, we continue building a variety of voice and language options for Amazon Polly customers.
Today, we are excited to announce the general availability of Jasmine – new Singaporean English Neural Text-to-Speech (NTTS) female voice for Amazon Polly. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk and to build entirely new categories of speech-enabled products. Jasmine is our first voice for the Singaporean variant of English. Even though Singaporean English is reported to be close to British English, there are some unique pronunciation patterns that we captured while training this voice, such as pronunciation of telephone numbers or postal codes, to make sure that Jasmine sounds like a local speaker. With this launch, we continue building a variety of voice and language options for Amazon Polly customers. Jasmine and all the other NTTS voices are available in AWS regions supporting Neural TTS. For more details, please read the Amazon Polly documentation and visit our pricing page.
AWS AppSync GraphQL now offers operation-level caching, a new feature that allows customers to cache entire GraphQL query operation responses. This enhancement enables developers to optimize read-heavy GraphQL APIs, delivering faster response times and improved application performance.
Operation-level caching in AWS AppSync GraphQL streamlines the caching process by storing complete query responses. This approach is particularly beneficial for complex queries or high-traffic scenarios, where it can significantly reduce latency and enhance the overall user experience. By caching at the operation level, developers can easily boost API efficiency and create more responsive applications without additional code changes.
Operation-level caching is now available in all AWS Regions where AWS AppSync is offered.
To learn more about operation-level caching in AWS AppSync GraphQL, visit the AWS AppSync documentation. You can start using this feature today by configuring caching settings in the AWS AppSync GraphQL console or through the AWS CLI.
AWS AppSync GraphQL now offers operation-level caching, a new feature that allows customers to cache entire GraphQL query operation responses. This enhancement enables developers to optimize read-heavy GraphQL APIs, delivering faster response times and improved application performance. Operation-level caching in AWS AppSync GraphQL streamlines the caching process by storing complete query responses. This approach is particularly beneficial for complex queries or high-traffic scenarios, where it can significantly reduce latency and enhance the overall user experience. By caching at the operation level, developers can easily boost API efficiency and create more responsive applications without additional code changes. Operation-level caching is now available in all AWS Regions where AWS AppSync is offered. To learn more about operation-level caching in AWS AppSync GraphQL, visit the AWS AppSync documentation. You can start using this feature today by configuring caching settings in the AWS AppSync GraphQL console or through the AWS CLI.
Amazon Connect Contact Lens now enables managers to create rules based on patterns of customer hold time and agent interaction duration, to take automated actions such as categorizing contacts, evaluating agent performance and notifying supervisors. With this launch, managers can create rules to check how well agents comply with guidelines on placing customers on hold. For example, did the agent set expectations on hold duration, before placing the customer on hold for more than 5 minutes? In addition, managers can check if the agent interaction lasted long enough to warrant assessment of complex agent behaviors such as building customer rapport, customer issue root cause analysis, etc. By excluding contacts that were too short, such as less than 30 seconds, managers can get more meaningful insights from automated contact categorization and agent performance evaluations.
This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.
Amazon Connect Contact Lens now enables managers to create rules based on patterns of customer hold time and agent interaction duration, to take automated actions such as categorizing contacts, evaluating agent performance and notifying supervisors. With this launch, managers can create rules to check how well agents comply with guidelines on placing customers on hold. For example, did the agent set expectations on hold duration, before placing the customer on hold for more than 5 minutes? In addition, managers can check if the agent interaction lasted long enough to warrant assessment of complex agent behaviors such as building customer rapport, customer issue root cause analysis, etc. By excluding contacts that were too short, such as less than 30 seconds, managers can get more meaningful insights from automated contact categorization and agent performance evaluations. This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.
Today, AWS Secrets Manager announces that AWS Secrets and Configuration Provider (ASCP) now integrates with Amazon Elastic Kubernetes Service (Amazon EKS) Pod Identity. This integration simplifies IAM authentication for Amazon EKS when retrieving secrets from AWS Secrets Manager or parameters from AWS Systems Manager Parameter Store. With this new capability, you can manage IAM permissions for Kubernetes applications more efficiently and securely, enabling granular access control through role session tags on secrets.
ASCP is a plugin for the industry-standard Kubernetes Secrets Store CSI Driver. It enables applications running in Kubernetes pods to retrieve secrets from AWS Secrets Manager easily, without the need for custom code or restarting containers when secrets are rotated. The AWS EKS Pod Identity, streamlines the process of configuring IAM permissions for Kubernetes applications in a more efficient and secure way. This integration combines the strengths of both components, enhancing secret management in Amazon EKS environments.
Previously, ASCP relied on IAM Roles for Service Accounts (IRSA) for authentication. Now, you can choose between IRSA and Pod Identity for IAM authentication using the new optional parameter «usePodIdentity». This flexibility allows you to adopt the authentication method that best suits your security requirements and operational needs.
The integration of ASCP with Pod Identity is available in all AWS Regions where AWS Secrets Manager and Amazon EKS Pod Identity are supported. To get started with this new feature, see the following resources AWS Secrets Manager documentation, Amazon EKS Pod Identity documentation and launch blog post.
Today, AWS Secrets Manager announces that AWS Secrets and Configuration Provider (ASCP) now integrates with Amazon Elastic Kubernetes Service (Amazon EKS) Pod Identity. This integration simplifies IAM authentication for Amazon EKS when retrieving secrets from AWS Secrets Manager or parameters from AWS Systems Manager Parameter Store. With this new capability, you can manage IAM permissions for Kubernetes applications more efficiently and securely, enabling granular access control through role session tags on secrets. ASCP is a plugin for the industry-standard Kubernetes Secrets Store CSI Driver. It enables applications running in Kubernetes pods to retrieve secrets from AWS Secrets Manager easily, without the need for custom code or restarting containers when secrets are rotated. The AWS EKS Pod Identity, streamlines the process of configuring IAM permissions for Kubernetes applications in a more efficient and secure way. This integration combines the strengths of both components, enhancing secret management in Amazon EKS environments. Previously, ASCP relied on IAM Roles for Service Accounts (IRSA) for authentication. Now, you can choose between IRSA and Pod Identity for IAM authentication using the new optional parameter «usePodIdentity». This flexibility allows you to adopt the authentication method that best suits your security requirements and operational needs. The integration of ASCP with Pod Identity is available in all AWS Regions where AWS Secrets Manager and Amazon EKS Pod Identity are supported. To get started with this new feature, see the following resources AWS Secrets Manager documentation, Amazon EKS Pod Identity documentation and launch blog post.
Liderar juntos el camino hacia una Internet más segura
Por: equipo de Microsoft Educación.
Cada año, el Día del Internet Seguro une a personas de todo el mundo para destacar temas críticos como el ciberacoso, las redes sociales y la identidad digital. La necesidad de educación y empoderamiento en materia de seguridad cibernética sigue tan importante como siempre. Según una encuesta de noviembre de 2023 realizada por el National 4-H Council con el apoyo de Microsoft, el 75% de los padres quieren que las escuelas enseñen bienestar digital y seguridad en línea. Además, el 72% de los estudiantes buscan orientación de los adultos sobre cómo utilizar las herramientas de IA de forma responsable.
El Día del Internet Seguro 2025 nos ofrece la oportunidad de «trabajar juntos por un internet mejor» hoy y durante todo el año. Únanse a nosotros para ayudar a los estudiantes a mejorar sus habilidades de alfabetización digital y explorar el uso responsable de la IA con CyberSafe AI: Dig Deeper y otros recursos interesantes.
Sumérjanse en el mundo de la IA con Minecraft
La serie CyberSafe de Minecraft Education utiliza el aprendizaje basado en juegos para ayudar a los estudiantes a mejorar sus habilidades de ciudadanía digital, como reconocer amenazas comunes en línea, crear estrategias para protegerse y explorar formas de salvaguardar su información personal. En la última entrega, CyberSafe AI: Dig Deeper, los alumnos desarrollan habilidades para usar las herramientas de IA de manera responsable al abordar desafíos del mundo real y explorar cuestiones de integridad académica, supervisión humana, privacidad de datos y deepfakes. Sumerjan a sus alumnos en este divertido mundo de Minecraft y capacítenlos para que piensen de forma crítica y utilicen la IA de forma responsable. Esta colección incluye una guía para educadores y un kit de herramientas para PowerPoint y familiar listo para el aula para el aprendizaje en casa.
Continúen la aventura con más lecciones de la serie CyberSafe de Minecraft:
Home Sweet Hmm: Losestudiantes aprenden a reconocer amenazas comunes en Internet, a crear estrategias para protegerse a sí mismos y a su información, y a saber a dónde acudir si necesitan ayuda.
Prodigio de la privacidad: Los estudiantes exploran qué son los datos personales, quién debe tener acceso a sus datos, cuándo es aceptable compartir sus datos y cómo administrar sus datos personales.
Buen juego: Los estudiantes desarrollan habilidades de alfabetización digital y ciudadanía digital mientras aprenden las responsabilidades, herramientas, respuestas y estrategias necesarias para fomentar el bienestar digital y construir conexiones positivas.
Creado a través de asociaciones con expertos de la industria, Minecraft Education tiene lecciones centradas en la ciberseguridad, la seguridad en línea y la ciudadanía digital alineadas con los estándares Cyber.org y CSTA. La progresión completa del plan de estudios cibernético ayuda a los estudiantes de todas las edades a desarrollar habilidades fundamentales y ofrece vías y credenciales para carreras en cibernética.
Integradas en bandas apropiadas para la edad, las actividades se desarrollan de manera incremental y le brindan puntos de entrada fáciles a través de planes de lecciones y tutoriales en video. Exploren las colecciones de currículos que pueden comenzar a usar en cualquier momento:
CyberSafe: Enseñen a los estudiantes de 7 a 11 años habilidades de seguridad cibernética y digital con temas como seguridad en línea, detección de estafas de phishing, protección con contraseña y almacenamiento de fotos en la nube. Introducir la ciudadanía digital, la privacidad de los datos y los centros de datos, con el objetivo de proteger los datos personales y aumentar la conciencia profesional en el mundo digital.
Fundamentos cibernéticos: Empoderen a los estudiantes de 10 a 14 años a través de experiencias prácticas en la creación de componentes de red y el cifrado de datos. Los estudiantes investigarán el malware y salvarán la red de la escuela como parte del Equipo de Respuesta a Incidentes.
Experto cibernético: Desarrollen la fluidez digital y las habilidades cibernéticas en estudiantes de 13 a 18 años. Explorarán el cifrado, la ingeniería social, los efectos del malware y las técnicas para combatirlo. Aprenderán a prevenir amenazas digitales, reparar los sistemas afectados y explorar carreras de ciberseguridad.
Recursos de seguridad cibernética para educadores
Preparar a sus estudiantes para navegar por el mundo digital comienza con el desarrollo de sus propias habilidades y confianza en torno a las herramientas y el conocimiento para enseñar seguridad cibernética de manera efectiva. Microsoft Education ofrece recursos diseñados para ayudar a los educadores, líderes escolares y familias a desarrollar las habilidades cibernéticas de los estudiantes.
Comiencen a hablar sobre la seguridad en Internet con los estudiantes con la ayuda de estos recursos de Microsoft Education:
Guía de conversación de ciberseguridad K-12: Obtengan consejos prácticos e iniciadores de conversación para hablar sobre prácticas seguras en línea e higiene cibernética con sus estudiantes.
Infografía de ciberseguridad K-12: Usen ejemplos visuales de enlaces de phishing y anuncios fraudulentos para enseñar a los estudiantes cómo identificar amenazas en línea.
Exploren los módulos de Microsoft Learn diseñados para mejorar sus estrategias de instrucción y competencia en ciberseguridad:
Desarrollen la resiliencia de la ciberseguridad en las aulas de K-12: Adquieran habilidades para anticipar las amenazas cibernéticas comunes, implementar medidas de seguridad y educar a otros para construir una cultura de ciberseguridad sólida que ayude a protegerse a sí mismo y a sus estudiantes.
Impulsen el liderazgo en ciberseguridad de las escuelas K-12: Aprendan a aplicar las prácticas de ciberseguridad recomendadas por la Agencia de Seguridad de Infraestructura y Ciberseguridad (CISA, por sus siglas en inglés) para fomentar la conciencia y la preparación, proteger las escuelas y contrarrestar las amenazas cibernéticas de manera efectiva.
Amplíen su kit de herramientas didácticas con una inmersión más profunda en la educación de Minecraft:
Únanse a la Academia de Profesores de Minecraft para acceder a recursos y formación gratuitos a la carta.
Conéctense con más de 10 mil educadores y expertos en el Salón de profesores de Minecraft para obtener consejos e ideas.
Abordar los riesgos de los contenidos abusivos generados por la IA a través de la educación y el empoderamiento
Durante casi una década, Microsoft ha conmemorado el Día de Internet Seguro a través de publicar investigaciones sobre cómo las personas de todas las edades perciben y experimentan el riesgo en línea. El año pasado, destacamos la creciente importancia de la IA. Este año, en nuestra novena Encuesta Global de Seguridad en Línea, hemos profundizado para comprender cómo las personas ven y usan esta tecnología, así como qué tan bien pueden identificar el contenido generado por IA.
Nuestros hallazgos muestran que, si bien ha habido un aumento global en los usuarios activos de IA (hasta un 51% en comparación con el 38% en 2023), las preocupaciones sobre la tecnología también han aumentado: el 88% de las personas estaban preocupadas por la IA generativa, en comparación con el 83% del año pasado. Además, nuestros datos confirman que las personas tienen dificultades para identificar el contenido generado por la IA, lo que puede amplificar los riesgos de contenido abusivo de la IA.
Nos comprometemos a promover la IA de manera responsable para aprovechar sus beneficios. Para ello, es fundamental el trabajo que realizamos para proteger a nuestros usuarios de posibles daños. El año pasado, lanzamos un kit de herramientas de seguridad familiar, que proporciona orientación sobre cómo aprovechar las características de seguridad de Microsoft y la configuración de seguridad familiar para respaldar y mejorar la crianza digital, además de orientación para las familias que buscan navegar juntas por el mundo de la IA generativa.
Anunciamos una nueva asociación con Childnet, una organización líder en el Reino Unido dedicada a hacer de Internet un lugar más seguro para los niños. Juntos, desarrollamos materiales educativos destinados a prevenir el uso indebido de la IA, como la creación de deepfakes. Estos recursos estarán disponibles para las escuelas y las familias, para brindar información valiosa sobre cómo proteger a los niños de los riesgos en línea.
Únanse a nosotros y celebren el Día de Internet Seguro. Las actividades y los recursos de seguridad en línea de Microsoft y Minecraft Education pueden apoyar y empoderar a su comunidad escolar. Comiencen hoy mismo y ayuden a todos a navegar por el mundo digital de forma segura y con confianza.
The post Día del Internet Seguro 2025: Abordar los riesgos de los contenidos abusivos generados por la IA mediante la educación y el empoderamiento appeared first on Source LATAM.
A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports this latest minor version of SQL Server 2022 across the Express, Web, Standard, and Enterprise editions.
We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor version is SQL Server 2022 CU17 – 16.0.4175.1.
This minor version is available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions.
Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.
A new minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports this latest minor version of SQL Server 2022 across the Express, Web, Standard, and Enterprise editions. We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor version is SQL Server 2022 CU17 – 16.0.4175.1. This minor version is available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.
Amazon Elastic File System (Amazon EFS) has now increased the access points limit from 1,000 to 10,000 per file system, a 10x increase. This launch makes it even easier for customers to manage application-specific access to shared datasets, enabling them to seamlessly scale access management to thousands of users, on a single EFS file system.
Amazon EFS is a fully elastic file storage service that makes it simple to set up and run file workloads in the AWS cloud. Access points are application-specific entry points that enforce a user identity and root directory, and logically isolate data between applications. The new EFS access point limits automatically apply to all file systems and require no action from customers.
The new access point limits are immediately available in all commercial AWS regions, except in AWS China Regions. To learn more, see the Amazon EFS Documentation or create a file system using the Amazon EFS Console, API, or AWS CLI.
Amazon Elastic File System (Amazon EFS) has now increased the access points limit from 1,000 to 10,000 per file system, a 10x increase. This launch makes it even easier for customers to manage application-specific access to shared datasets, enabling them to seamlessly scale access management to thousands of users, on a single EFS file system. Amazon EFS is a fully elastic file storage service that makes it simple to set up and run file workloads in the AWS cloud. Access points are application-specific entry points that enforce a user identity and root directory, and logically isolate data between applications. The new EFS access point limits automatically apply to all file systems and require no action from customers. The new access point limits are immediately available in all commercial AWS regions, except in AWS China Regions. To learn more, see the Amazon EFS Documentation or create a file system using the Amazon EFS Console, API, or AWS CLI.
Amazon CloudWatch Database Insights now provides lock contention diagnostics for Aurora PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights.
With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process.
You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Aurora PostgreSQL clusters using the Aurora service console, AWS APIs, or the AWS SDK. 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 now provides lock contention diagnostics for Aurora PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights. With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Aurora PostgreSQL clusters using the Aurora service console, AWS APIs, or the AWS SDK. 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 public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.
