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Amazon Cognito is now available in Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions

Amazon Cognito is now available in the AWS Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions. This launch introduces all Amazon Cognito features and tiers, allowing customers to implement secure sign-in and access control for users, AI agents, and microservices in minutes.

For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to Developer GuideProduct Detail Page, and Pricing Detail Page.

 

​Amazon Cognito is now available in the AWS Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions. This launch introduces all Amazon Cognito features and tiers, allowing customers to implement secure sign-in and access control for users, AI agents, and microservices in minutes.
For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to Developer Guide, Product Detail Page, and Pricing Detail Page.  

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IAM Roles Anywhere now supports post-quantum digital certificates

AWS Identity and Access Management (IAM) Roles Anywhere now supports the FIPS 204 Module-Lattice Digital Signature Standard (ML-DSA), a quantum-resistant digital signature algorithm standardized by the National Institute of Standards and Technology (NIST) to help protect against threat actors in possession of a large-scale quantum computer. ML-DSA is particularly valuable for IAM Roles Anywhere customers who authenticate workloads to AWS using X.509 certificates issued by certificate authorities, where a weakened signature algorithm could allow an unintended user to issue certificates and obtain unauthorized access.

IAM Roles Anywhere enables workloads running outside of AWS to obtain temporary AWS credentials using X.509 certificates to access AWS resources. You establish trust between your AWS environment and your public key infrastructure (PKI) by creating a trust anchor, either by referencing your AWS Private Certificate Authority or registering your own certificate authorities (CAs) with IAM Roles Anywhere. You can now use ML-DSA-signed CA certificates as IAM Roles Anywhere trust anchors, and issue end entity certificates bound to ML-DSA keys.

This feature is available in all AWS Regions where IAM Roles Anywhere is available, including the AWS GovCloud (US) Regions, AWS European Sovereign Cloud (Germany) Region, and China Regions. To learn more, see the IAM Roles Anywhere User Guide.

 

​AWS Identity and Access Management (IAM) Roles Anywhere now supports the FIPS 204 Module-Lattice Digital Signature Standard (ML-DSA), a quantum-resistant digital signature algorithm standardized by the National Institute of Standards and Technology (NIST) to help protect against threat actors in possession of a large-scale quantum computer. ML-DSA is particularly valuable for IAM Roles Anywhere customers who authenticate workloads to AWS using X.509 certificates issued by certificate authorities, where a weakened signature algorithm could allow an unintended user to issue certificates and obtain unauthorized access. IAM Roles Anywhere enables workloads running outside of AWS to obtain temporary AWS credentials using X.509 certificates to access AWS resources. You establish trust between your AWS environment and your public key infrastructure (PKI) by creating a trust anchor, either by referencing your AWS Private Certificate Authority or registering your own certificate authorities (CAs) with IAM Roles Anywhere. You can now use ML-DSA-signed CA certificates as IAM Roles Anywhere trust anchors, and issue end entity certificates bound to ML-DSA keys. This feature is available in all AWS Regions where IAM Roles Anywhere is available, including the AWS GovCloud (US) Regions, AWS European Sovereign Cloud (Germany) Region, and China Regions. To learn more, see the IAM Roles Anywhere User Guide.  

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Amazon EC2 G7e instances now available in Asia Pacific (Seoul) and Europe (Spain) regions

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in  Asia Pacific (Seoul) and Europe (Spain) regions. G7e instances offer up to 2.3x inference performance compared to G6e.

Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.

You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.

To get started, visit the AWS Management ConsoleAWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.

 

​Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in  Asia Pacific (Seoul) and Europe (Spain) regions. G7e instances offer up to 2.3x inference performance compared to G6e.
Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.
You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.  

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Amazon CloudWatch Logs announces increased query concurrency and API limits

Amazon CloudWatch Logs customers can now run up to 100 concurrent queries per account and execute 10 StartQuery and GetQueryResults API calls per second per account/per-region, using the Logs Insights Query Language (Logs Insights QL). These limit increases enable customers to support more users and execute more concurrent queries.

With concurrency increasing from 30 to 100, more users can simultaneously run queries and leverage dashboards using Logs Insights QL. Customers using StartQuery and GetQueryResults APIs for Logs Insights QL benefit from higher limits without being throttled, enabling them to execute more queries and view results faster.

The limit increases for Logs Insights queries is available in US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada (Calgary), South America (São Paulo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Zurich), Europe (Spain), Africa (Cape Town), Middle East(Tel Aviv), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Melbourne), Asia Pacific (Tokyo), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Hong Kong), Asia Pacific (Jakarta), Asia Pacific (Bangkok), Asia Pacific (Malaysia), Asia Pacific (Auckland), Asia Pacific (Taipei), and Mexico (Querétaro). For more information, visit the  Amazon CloudWatch Logs documentation

 

​Amazon CloudWatch Logs customers can now run up to 100 concurrent queries per account and execute 10 StartQuery and GetQueryResults API calls per second per account/per-region, using the Logs Insights Query Language (Logs Insights QL). These limit increases enable customers to support more users and execute more concurrent queries. With concurrency increasing from 30 to 100, more users can simultaneously run queries and leverage dashboards using Logs Insights QL. Customers using StartQuery and GetQueryResults APIs for Logs Insights QL benefit from higher limits without being throttled, enabling them to execute more queries and view results faster. The limit increases for Logs Insights queries is available in US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada (Calgary), South America (São Paulo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Zurich), Europe (Spain), Africa (Cape Town), Middle East(Tel Aviv), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Melbourne), Asia Pacific (Tokyo), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Hong Kong), Asia Pacific (Jakarta), Asia Pacific (Bangkok), Asia Pacific (Malaysia), Asia Pacific (Auckland), Asia Pacific (Taipei), and Mexico (Querétaro). For more information, visit the  Amazon CloudWatch Logs documentation.   

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Presentamos la Primera Suite Frontier basada en Inteligencia + Confianza

Presentamos la Primera Suite Frontier basada en Inteligencia + Confianza

Hoy Microsoft anuncia:
  • Tercera Oleada de Microsoft 365 Copilot
  • Diversidad ampliada de modelos con Claude y modelos OpenAI de próxima generación disponibles hoy
  • Disponibilidad general del Agente 365 el 1 de mayo por 15$ por usuario
  • Disponibilidad general del nuevo Microsoft 365 E7: The Frontier Suite el 1 de mayo por 99$ por usuario

Una mujer con anteojos y cabello oscuro sentada frente a una laptop.

Por: Judson Althoff – CEO, Negocios Comerciales de Microsoft.

Frontier Transformation es una reinvención holística del negocio, donde se alinea la IA con la ambición humana para alcanzar las más altas aspiraciones de una organización. Es la próxima evolución de la Transformación de la IA: no solo necesitamos lograr eficiencia y productividad, sino también democratizar la inteligencia y hacer más por la humanidad. Las empresas no quieren ni necesitan más experimentación con IA. Necesitan IA que ofrezca resultados empresariales reales y crecimiento.

En mis conversaciones diarias con clientes y socios, por lo general se preguntan cuáles son los componentes más importantes de una solución de IA. ¿Es el modelo? ¿Es silicio? En Microsoft, creemos que los dos elementos más esenciales de Frontier Transformation son Inteligencia + Confianza. Las organizaciones deben aprovechar su propia inteligencia de trabajo única al construir agentes y soluciones; y todos los artefactos de IA en su pila tecnológica deben ser observados, gestionados y protegidos para garantizar que entregan valor de forma responsable.

Inteligencia que se manifiesta en el trabajo real

A menudo digo que la creación automática sin contexto no es más que un truco de salón. Los modelos pueden razonar sobre los datos, producir documentos preliminares, presentaciones y hojas de cálculo, pero no entienden el trabajo. La verdadera diferenciación viene de la inteligencia — un contexto laboral profundo, integrado en las herramientas que la gente ya usa. La IA debería amplificar tu inteligencia, pero hacerlo de una manera que proteja tu diferenciación y tu valor único.

El coeficiente intelectual de trabajo amplifica el coeficiente intelectual de una persona al aprovechar el coeficiente intelectual de su organización. Es la capa de inteligencia la que permite a Microsoft 365 Copilot y a sus agentes saber cómo trabajan, con quién trabajan y el contenido en el que colaboran. Por eso Copilot es más rápido, preciso y más fiable que las soluciones basadas sólo en modelos y conectores.

Este mes, liberamos el potencial de Work IQ con nuestra próxima generación de experiencias agenticas en la Tercera Oleada de Microsoft 365 Copilot en Word, Excel, PowerPoint y Outlook. Los empleados tendrán una experiencia de chat mejorada en Copilot con la capacidad de crear y mejorar artefactos, y la capacidad de crear sus propios agentes dentro del lienzo en el que trabajan cada día.

Microsoft 365 Copilot es diverso en modelos por diseño. En lugar de apostar por un solo modelo, construimos un sistema que hace que cada modelo sea útil en el trabajo. Los clientes tienen la elección, el rendimiento y la flexibilidad en un entorno abierto y heterogéneo. Copilot aprovecha modelos líderes de OpenAI y Anthropic, para operar de manera libre en las nubes y servicios de datos sin limitar a los clientes. Claude ya está disponible en el chat principal en Copilot a través del programa Frontier, junto con la última generación de modelos OpenAI.

Microsoft 365 Copilot Wave 3 no es solo una única versión de nuevas capacidades, sino más bien un compromiso con la innovación continua. Aportaremos capacidades vanguardistas con promesas empresariales para nuestros clientes de manera abierta y diversa. Otro gran ejemplo de esto es Copilot Cowork, que está en la vista previa de investigación. Construido en estrecha colaboración con Anthropic, incorporamos la tecnología que impulsa Claude Cowork a Microsoft 365 Copilot para permitir trabajos de larga duración y varios pasos que se desarrollan con el tiempo. Hagan clic aquí para conocer con más detalle nuestras noticias de la Ola 3.

Estos anuncios llegan mientras nuestros clientes de distintos sectores ya han comenzado a ver el valor de Microsoft 365 Copilot. Microsoft ha logrado de manera reciente su trimestre más sólido hasta la fecha con Copilot, con asientos de pago que crecen más del 160% interanual y el uso activo diario diez veces, ya que los clientes hacen de Copilot una parte central del trabajo cotidiano. La expansión también se acelera, ya que el número de clientes que despliegan Copilot a gran escala —más de 35.000 plazas— se triplicó año tras año. La semana pasada, Mercedes Benz anunció el despliegue global de Microsoft 365 Copilot, tras recientes inversiones de la NASA, Fiserv, ING, la Universidad de Kentucky, la Universidad de Manchester, el Departamento del Interior de EE. UU. y Westpac. Esto se suma al 90 por ciento de las empresas Fortune 500 que ahora usan Copilot.

Confianza: desde la experimentación y expansión de agentes hasta el control empresarial

La rapidez de desarrollo y proliferación de agentes nos indica que los clientes ven valor, pero sin barreras de seguridad el ritmo de adopción se convierte en puntos ciegos, un ROI reducido y un riesgo real de seguridad. A medida que los agentes de IA se vuelven más capaces y autónomos, la confianza es innegociable. IDC prevé 1.300 millones de agentes en circulación para 2028, y el 80% de las empresas Fortune 500 ya utilizan agentes de Microsoft, liderados por industrias complejas a nivel operativo como la manufactura, los servicios financieros y el comercio minorista.

Por eso me complace anunciar la disponibilidad general del Microsoft Agent 365, el plano de control para agentes de IA, el 1 de mayo. Con un precio de 15 dólares por usuario, Agent 365 ofrece a los líderes de TI y seguridad un único lugar donde observar, gobernar, gestionar y proteger agentes en toda la organización, a través de la misma infraestructura, aplicaciones y protecciones de las que confían hoy para gestionar a las personas.

Vemos un impulso tremendo con nuestros clientes de vista previa. En solo dos meses, decenas de millones de agentes han aparecido en el Registro del Agente 365. Tenemos decenas de miles de clientes que ya han adoptado Agent 365 para gobernar y escalar de manera segura los agentes de IA en los flujos de trabajo empresariales.

En Microsoft, también usamos Agent 365 como Cliente Cero y las primeras señales son claras. Ahora tenemos visibilidad sobre más de 500.000 agentes en toda la empresa, donde los más utilizados están enfocados en la investigación, la programación, la inteligencia de ventas, el triaje de clientes y el autoservicio de RRHH. Esa adopción se traduce en trabajo real. Solo en los últimos 28 días, los agentes han generado más de 65.000 respuestas diarias para empleados. Esto es prueba de que no solo experimentamos, sino que integramos agentes en el flujo del trabajo cotidiano y empoderamos la ambición humana.

Presentamos la Frontier Suite

Para satisfacer esta demanda, me complace anunciar que vamos a unir Inteligencia + Confianza con Microsoft 365 E7: The Frontier Suite. Microsoft 365 E7 unifica Microsoft 365 E5, Microsoft 365 Copilot y Agent 365 en una única solución impulsada por Work IQ e integrada con las aplicaciones y la pila de seguridad en la que los clientes ya dependen. Incluye Microsoft Entra Suite y capacidades avanzadas de seguridad Defender, Intune y Purview, para ofrecer una protección integral tanto para agentes como para empleados.

Los clientes nos han dicho que solo E5 ya no es suficiente; no quieren que se unan varias herramientas, quieren una solución de confianza. Con un precio de 99 dólares por usuario, E7 tiene un precio inferior al de la compra de estas capacidades a la carta, para ofrecer a los clientes una manera más sencilla y rentable de desplegar IA empresarial a gran escala.

Con la disponibilidad general de Agent 365 y las últimas experiencias agénticas en Microsoft 365 Copilot ofrecidas como una suite Frontier, la IA pasa de la experimentación a un valor duradero a nivel empresarial, basado en la base de Inteligencia + Confianza. Así es como hacemos real la Transformación de la Frontera. Microsoft no solo imagina el futuro de la IA, sino que empodera a organizaciones de diferentes sectores y en todo el mundo para que la creen.

The post Presentamos la Primera Suite Frontier basada en Inteligencia + Confianza appeared first on Source LATAM.

 

​The post Presentamos la Primera Suite Frontier basada en Inteligencia + Confianza appeared first on Source LATAM.  

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Amazon Redshift introduces reusable templates for COPY operations

Amazon Redshift now supports templates for the COPY command, allowing you to store and reuse frequently used COPY parameters. This new feature enables you to create reusable templates that contain commonly utilized formatting parameters, eliminating the need to manually specify parameters for each COPY operation.

Templates help maintain consistency across data ingestion operations that use the COPY command. They also reduce the time and effort required to execute COPY commands. You can create standardized configurations for different file types and data sources, ensuring consistent parameter usage across your teams and reducing the likelihood of errors caused by manual input. When parameters need to be updated, changes to the template automatically apply to all future uses, simplifying maintenance and improving operational efficiency.

Support for templates for the COPY command is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To get started with templates, see the documentation or check out the AWS Blog.

 

​Amazon Redshift now supports templates for the COPY command, allowing you to store and reuse frequently used COPY parameters. This new feature enables you to create reusable templates that contain commonly utilized formatting parameters, eliminating the need to manually specify parameters for each COPY operation. Templates help maintain consistency across data ingestion operations that use the COPY command. They also reduce the time and effort required to execute COPY commands. You can create standardized configurations for different file types and data sources, ensuring consistent parameter usage across your teams and reducing the likelihood of errors caused by manual input. When parameters need to be updated, changes to the template automatically apply to all future uses, simplifying maintenance and improving operational efficiency. Support for templates for the COPY command is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To get started with templates, see the documentation or check out the AWS Blog.  

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Amazon SageMaker Unified Studio adds light mode support for IAM-based domains

Today, AWS announces light mode support in Amazon SageMaker Unified Studio for IAM-based domains. Customers can now configure the visual interface mode to match their preference, choosing between dark and light themes.

Light mode helps improve readability in bright environments and provides a familiar visual experience for customers who prefer lighter interfaces. Combined with the existing dark mode, this update gives you full control over your development environment’s appearance, improving accessibility and reducing eye strain across varying lighting conditions. In SageMaker Unified Studio settings, you can click on ‘customize appearance’ under your Profile settings to choose between visual modes including dark and light. The setting persists across browsers and devices.

This feature is available in all regions where Amazon SageMaker Unified Studio is available. To learn more, refer to the User Guide.

 

​Today, AWS announces light mode support in Amazon SageMaker Unified Studio for IAM-based domains. Customers can now configure the visual interface mode to match their preference, choosing between dark and light themes.
Light mode helps improve readability in bright environments and provides a familiar visual experience for customers who prefer lighter interfaces. Combined with the existing dark mode, this update gives you full control over your development environment’s appearance, improving accessibility and reducing eye strain across varying lighting conditions. In SageMaker Unified Studio settings, you can click on ‘customize appearance’ under your Profile settings to choose between visual modes including dark and light. The setting persists across browsers and devices.
This feature is available in all regions where Amazon SageMaker Unified Studio is available. To learn more, refer to the User Guide.  

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Amazon Redshift introduces new array functions for semi-structured data processing

Amazon Redshift now supports nine new array functions for working with semi-structured data stored in the SUPER data type. The new functions include ARRAY_CONTAINS, ARRAY_DISTINCT, ARRAY_EXCEPT, ARRAY_INTERSECTION, ARRAY_POSITION, ARRAY_POSITIONS, ARRAY_SORT, ARRAY_UNION, and ARRAYS_OVERLAP, enabling you to search, compare, sort, and transform arrays directly within your SQL queries. Previously, performing these operations required writing complex custom PartiQL SQL logic.

These functions simplify complex data transformations and reduce query complexity by enabling sophisticated array operations in a single SQL statement. For example, you can use ARRAY_CONTAINS and ARRAY_POSITION for element lookup, ARRAY_INTERSECTION and ARRAY_EXCEPT for set operations, or ARRAY_SORT and ARRAY_DISTINCT to organize and deduplicate data. These functions are particularly valuable for applications involving nested data structures, event processing, and analytics workflows where data needs to be aggregated, filtered, or transformed at scale.

The new Amazon Redshift array functions are available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To learn more, please visit our documentation.

 

​Amazon Redshift now supports nine new array functions for working with semi-structured data stored in the SUPER data type. The new functions include ARRAY_CONTAINS, ARRAY_DISTINCT, ARRAY_EXCEPT, ARRAY_INTERSECTION, ARRAY_POSITION, ARRAY_POSITIONS, ARRAY_SORT, ARRAY_UNION, and ARRAYS_OVERLAP, enabling you to search, compare, sort, and transform arrays directly within your SQL queries. Previously, performing these operations required writing complex custom PartiQL SQL logic. These functions simplify complex data transformations and reduce query complexity by enabling sophisticated array operations in a single SQL statement. For example, you can use ARRAY_CONTAINS and ARRAY_POSITION for element lookup, ARRAY_INTERSECTION and ARRAY_EXCEPT for set operations, or ARRAY_SORT and ARRAY_DISTINCT to organize and deduplicate data. These functions are particularly valuable for applications involving nested data structures, event processing, and analytics workflows where data needs to be aggregated, filtered, or transformed at scale. The new Amazon Redshift array functions are available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To learn more, please visit our documentation.  

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Amazon EC2 R8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Middle East (UAE), AWS Mexico (Central), and AWS Europe (Zurich) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Middle East (UAE), AWS Mexico (Central), and AWS Europe (Zurich) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

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Amazon Redshift Serverless now maintains datashare permissions during restore

Amazon Redshift Serverless now preserves datashare permissions when you restore a snapshot to the same namespace, simplifying data sharing workflows and reducing administrative overhead. Previously, restoring a serverless namespace from a snapshot required administrators to manually re-grant datashare permissions to consumer clusters and recreate consumer databases, even when restoring to the same namespace.

With this enhancement, datashare permissions are automatically maintained when you restore a snapshot to the same producer namespace, provided the datashare permission existed both when the snapshot was taken and on the current namespace. For consumer namespaces, datashare access remains unchanged after restore, eliminating the need for producer administrators to re-grant permissions. This streamlines disaster recovery and testing workflows by reducing manual configuration steps and potential errors. Amazon Redshift also provides EventBridge notifications to alert you when datashares are dropped, consumer access is revoked, or public accessibility changes during restore operations.

This feature is available in all AWS Regions that support Amazon Redshift. To learn more, see the Amazon Redshift Management Guide.

 

​Amazon Redshift Serverless now preserves datashare permissions when you restore a snapshot to the same namespace, simplifying data sharing workflows and reducing administrative overhead. Previously, restoring a serverless namespace from a snapshot required administrators to manually re-grant datashare permissions to consumer clusters and recreate consumer databases, even when restoring to the same namespace.
With this enhancement, datashare permissions are automatically maintained when you restore a snapshot to the same producer namespace, provided the datashare permission existed both when the snapshot was taken and on the current namespace. For consumer namespaces, datashare access remains unchanged after restore, eliminating the need for producer administrators to re-grant permissions. This streamlines disaster recovery and testing workflows by reducing manual configuration steps and potential errors. Amazon Redshift also provides EventBridge notifications to alert you when datashares are dropped, consumer access is revoked, or public accessibility changes during restore operations. This feature is available in all AWS Regions that support Amazon Redshift. To learn more, see the Amazon Redshift Management Guide.