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EY y Microsoft anuncian una iniciativa global para ayudar a los clientes a escalar la creación de valor de la IA a nivel empresarial y a ir más allá de la experimentación


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EY y Microsoft anuncian una iniciativa global para ayudar a los clientes a escalar la creación de valor de la IA a nivel empresarial y a ir más allá de la experimentación

  • Basándose en el éxito de la alianza EY-Microsoft, las organizaciones invierten de manera conjunta más de 1.000 millones de dólares en una nueva iniciativa para acelerar la transformación de la IA empresarial
  • Un equipo integrado por profesionales de EY e «ingenieros desplegados en el campo» de Microsoft, ayudará a los clientes a desplegar soluciones de IA en funciones empresariales principales a gran escala
  • Como Cliente Cero, EY fue una de las primeras organizaciones en adoptar Microsoft 365 E7: The Frontier Suite, y ahora está escalando Copilot entre sus más de 400.000 personas

Logos de EY y de Microsoft

LONDRES — La organización EY y Microsoft Corp. anunciaron una evolución significativa de su alianza, en la que invertirán más de 1.000 millones de dólares en cinco años y lanzan una nueva iniciativa para ayudar a las organizaciones a escalar la IA y ofrecer resultados medibles a nivel empresarial a gran escala. La iniciativa reúne a los Forward Deployed Engineers (FDE) de Microsoft y a profesionales del sector de EY para acelerar la adopción de la IA en los modelos de entrega de la gestión del cambio, impulsados por el enfoque de Hypervelocity Engineering nativo de FDE de Microsoft.

La iniciativa representa un hito importante en la larga alianza EY-Microsoft, que demuestra un compromiso compartido con la transformación impulsada por IA centrada en el cliente en Fiscalía, Aseguramiento, Consultoría y EY-Parthenon.

Los clientes podrán convertirse en Empresas Frontier que escalan y generan valor, mediante la mejora de habilidades de la plantilla, la gestión del cambio integrada y la optimización continua de la transformación de IA agéntica. EY y Microsoft desplegarán equipos integrados de ingenieros y consultores empresariales alineados por sector. Juntos, desarrollarán en conjunto y proporcionarán soluciones de IA seguras y específicas para cada sector, centradas en las oportunidades de negocio de mayor valor para los clientes. A través de este enfoque, las organizaciones pueden acelerar la adopción de la IA y optimizar de manera continua las operaciones para impulsar un valor empresarial sostenido.

Janet Truncale, presidenta global y CEO de EY, afirma: «Junto con Microsoft, EY apoya a sus clientes para desbloquear valor mediante el despliegue rápido de IA a gran escala. Con acceso a un equipo único e integrado, los clientes contarán con la profundidad de ingeniería líder en el mercado de Microsoft, junto con el profundo conocimiento del sector y las capacidades de gestión del cambio de los equipos de EY. Al combinar personas e innovación en esta nueva fase de la Alianza, los clientes estarán capacitados para materializar el poder transformador de la IA agéntica dentro de la empresa.»

EY como Cliente Cero

La iniciativa está respaldada por EY como Cliente Cero, donde utiliza los propios equipos de la organización para validar formas de trabajar con las tecnologías de Microsoft. En un inicio, EY desplegó Copilot a 150.000 usuarios de Copilot, para registrar un aumento del 15% en la productividad que se reinvirtió en la entrega y aprendizaje de los clientes. EY también amplía Copilot a través de Microsoft 365 E7: The Frontier Suite, a más de 400.000 personas en todo el mundo, para integrar capacidades de IA agéntica en toda la empresa para generar impacto empresarial.

Más allá de Copilot, EY ha implementado IA en toda su organización, incluido:

  • Modernizar las operaciones financieras con Microsoft Power Platform, integrar agentes inteligentes a través de Copilot Studio, lo que resultó en plazos de entrega un 95% más rápidos y una reducción de más del 37% en los costes operativos.
  • Integrar un nuevo marco multiagente —integrado con Microsoft Azure, Microsoft Foundry y Microsoft Fabric— en EY Canvas, que abarcaba los flujos de trabajo de 130.000 profesionales de Assurance en 160.000 auditorías.
  • Adopción temprana de Microsoft Azure AI Document Intelligence en su Global Tax Platform, para aplicar aprendizaje automático avanzado que permite extraer datos esenciales de documentos de manera automática y precisa, lo que redujo la carga de trabajo manual hasta en un 90%.

Judson Althoff, CEO de Commercial Business de Microsoft, afirma: «La IA ha pasado con gran rapidez de ser experimentación a ser un motor central del rendimiento empresarial, y las empresas que avanzan son las que escalan la Transformación de la IA. Nuestra iniciativa combina la plataforma de IA y los equipos de ingeniería de confianza de Microsoft con las capacidades y experiencia de EY en el sector como Cliente Cero —que aplica estas tecnologías en toda su propia organización— para ayudar a los clientes a ir más allá de los pilotos hacia la ejecución empresarial, lo que mejora la toma de decisiones y genera un impacto medible.»

La oferta estará integrada por completo, con gobernanza compartida, modelos comerciales alineados y responsabilidad entre ambas organizaciones. En un inicio, los servicios y soluciones se centrarán en Finanzas, Fiscalidad, Riesgos, Recursos Humanos y Cadena de Suministro dentro de Servicios Financieros, Industriales y Energía, Consumo y Retail, Gobierno y Sanidad.

Conozcan más sobre la iniciativa EY-Microsoft aquí, y para más información sobre la alianza EY-Microsoft, visiten EY.com.

Acerca de EY

EY construye un mundo laboral mejor a través de crear nuevo valor para clientes, personas, sociedad y el planeta, mientras fomenta la confianza en los mercados de capitales.

Gracias a datos, IA y tecnología avanzada, los equipos de EY ayudan a los clientes a moldear el futuro con confianza y a desarrollar respuestas para los problemas más urgentes de hoy y del futuro.

Los equipos de EY trabajan en todo un espectro de servicios en aseguramiento, consultoría, fiscalidad, estrategia y transacciones. Impulsados por conocimientos sectoriales, una red multidisciplinar y conectada a nivel global y socios diversos en ecosistemas, los equipos de EY pueden ofrecer servicios en más de 150 países y territorios.

Todo ello para moldear el futuro con confianza.

EY se refiere a la organización global, y puede referirse a una o más, de las firmas miembros de Ernst & Young Global Limited, cada una de las cuales es una entidad legal separada. Ernst & Young Global Limited, una empresa británica limitada por garantía, no ofrece servicios a sus clientes. La información sobre cómo EY recopila y utiliza datos personales y una descripción de los derechos que tienen las personas bajo la legislación de protección de datos están disponibles a través de ey.com/privacy. Las firmas miembros de EY no ejercen la abogacía cuando las leyes locales lo prohíben. Para más información sobre nuestra organización, por favor visite ey.com.

Este comunicado de prensa ha sido emitido por EYGM Limited, miembro de la organización global EY que tampoco ofrece servicios a sus clientes.

Acerca de Microsoft

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

Para más información, solo prensa:

Relaciones con los Medios de Microsoft, We. Communications para Microsoft, (425) 638-7777, rapidresponse@wecommunications.com 

Michael Curtis, EY Global Media Relations, michael.curtis@uk.ey.com 

Nota para los editores:  Para más información, noticias y perspectivas de Microsoft, por favor visiten Microsoft Source LATAM en https://news.microsoft.com/source/latam. Los enlaces web, números de teléfono y títulos eran correctos en el momento de la publicación, pero pueden haber cambiado. Para asistencia adicional, periodistas y analistas pueden contactar con el Equipo de Respuesta Rápida de Microsoft u otros contactos apropiados listados en https://news.microsoft.com/microsoft-public-relations-contacts.

The post EY y Microsoft anuncian una iniciativa global para ayudar a los clientes a escalar la creación de valor de la IA a nivel empresarial y a ir más allá de la experimentación appeared first on Source LATAM.

 

​The post EY y Microsoft anuncian una iniciativa global para ayudar a los clientes a escalar la creación de valor de la IA a nivel empresarial y a ir más allá de la experimentación appeared first on Source LATAM.  

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Amazon WorkSpaces Personal now supports WorkSpace Migration for Linux WorkSpaces

Amazon WorkSpaces now supports the WorkSpace Migration feature for all Linux operating systems that Amazon WorkSpaces offers. This allows customers to seamlessly migrate WorkSpaces from one Linux operating system to another, automating the process to migrate to newer operating system versions or to move from one Linux operating system to another.

When customers migrate their WorkSpaces from one operating system to another, the user data on a Linux WorkSpace’s home directory is now automatically moved to the new WorkSpace. Customers can seamlessly migrate WorkSpaces without having to manually copy data between WorkSpaces. This streamlines the process to upgrade Linux WorkSpaces to take advantage of the latest Linux operating systems without disrupting end users with manual migration steps.

The WorkSpace Migration feature is now supported for all Linux operating systems in AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Personal is supported. For more information, see the Migrate a Linux WorkSpace section in the Amazon WorkSpaces Administration Guide.

 

​Amazon WorkSpaces now supports the WorkSpace Migration feature for all Linux operating systems that Amazon WorkSpaces offers. This allows customers to seamlessly migrate WorkSpaces from one Linux operating system to another, automating the process to migrate to newer operating system versions or to move from one Linux operating system to another. When customers migrate their WorkSpaces from one operating system to another, the user data on a Linux WorkSpace’s home directory is now automatically moved to the new WorkSpace. Customers can seamlessly migrate WorkSpaces without having to manually copy data between WorkSpaces. This streamlines the process to upgrade Linux WorkSpaces to take advantage of the latest Linux operating systems without disrupting end users with manual migration steps. The WorkSpace Migration feature is now supported for all Linux operating systems in AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Personal is supported. For more information, see the Migrate a Linux WorkSpace section in the Amazon WorkSpaces Administration Guide.  

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Amazon Keyspaces (for Apache Cassandra) expands to Asia Pacific (Malaysia) and Asia Pacific (Thailand) Regions

Amazon Keyspaces (for Apache Cassandra) is now available in the Asia Pacific (Malaysia) and Asia Pacific (Thailand) Regions, allowing customers in Asia Pacific Region to build Cassandra-compatible applications with lower latency while keeping their data within the Region to meet data residency requirements.
  
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.
  
The Asia Pacific (Malaysia) and Asia Pacific (Thailand) Regions provide the same Amazon Keyspaces features available in other AWS Regions, including point-in-time recovery, Multi-Region replication, CDC streams, and IPv6 support. This regional expansion enables organizations in Asia Pacific to build highly scalable, low-latency applications using familiar Cassandra Query Language (CQL) without the operational burden of managing Cassandra clusters.

To learn more about Keyspaces, visit the Amazon Keyspaces documentation.

 

​Amazon Keyspaces (for Apache Cassandra) is now available in the Asia Pacific (Malaysia) and Asia Pacific (Thailand) Regions, allowing customers in Asia Pacific Region to build Cassandra-compatible applications with lower latency while keeping their data within the Region to meet data residency requirements.    Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.    The Asia Pacific (Malaysia) and Asia Pacific (Thailand) Regions provide the same Amazon Keyspaces features available in other AWS Regions, including point-in-time recovery, Multi-Region replication, CDC streams, and IPv6 support. This regional expansion enables organizations in Asia Pacific to build highly scalable, low-latency applications using familiar Cassandra Query Language (CQL) without the operational burden of managing Cassandra clusters.
To learn more about Keyspaces, visit the Amazon Keyspaces documentation.  

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AWS Clean Rooms now supports mutable payment configurations for collaborations

AWS Clean Rooms now supports mutable fine-grained payment configurations for collaboration members. This capability offers customers greater flexibility and control over payment responsibilities as they develop new use cases with their partners. With this launch, customers can specify which partners are authorized to pay for specific cost types after a collaboration is created—including SQL queries, PySpark jobs, ML model training and inference jobs, and synthetic data generation in AWS Clean Rooms.

With AWS Clean Rooms, you can add or remove authorized payers for specific cost types through a change request. Collaboration members must approve the results before it takes effect. Payment configurations support multiple authorized payers for SQL and PySpark analyses. You can select an authorized payer when submitting the analysis. For example, a pharmaceutical research company collaborates with healthcare organizations for real-world clinical trial data. The pharmaceutical research company can pay for complex analysis, and the healthcare organizations can pay for simple SQL analyses in a collaboration. 

AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.

 

​AWS Clean Rooms now supports mutable fine-grained payment configurations for collaboration members. This capability offers customers greater flexibility and control over payment responsibilities as they develop new use cases with their partners. With this launch, customers can specify which partners are authorized to pay for specific cost types after a collaboration is created—including SQL queries, PySpark jobs, ML model training and inference jobs, and synthetic data generation in AWS Clean Rooms.
With AWS Clean Rooms, you can add or remove authorized payers for specific cost types through a change request. Collaboration members must approve the results before it takes effect. Payment configurations support multiple authorized payers for SQL and PySpark analyses. You can select an authorized payer when submitting the analysis. For example, a pharmaceutical research company collaborates with healthcare organizations for real-world clinical trial data. The pharmaceutical research company can pay for complex analysis, and the healthcare organizations can pay for simple SQL analyses in a collaboration. 
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.  

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Amazon CloudWatch Logs Insights adds new query commands and functions

Amazon CloudWatch Logs Insights query language now supports 13 new commands and functions that give you more powerful ways to query, transform, and analyze your logs. Customers analyzing logs in CloudWatch Logs Insights often need to perform string manipulation, encode or decode field values, parse non-JSON log formats, or calculate geographic distances, so they can derive deeper insights from their logs.

With this launch, CloudWatch Logs Insights provides new string and numeric functions (round, startswith, endswith, case, regex_replace, haversine), encoding and decoding functions (urlencode, urldecode, base64encode, base64decode), and new parse and analysis commands (parse logfmt, expand, relevantfields). You can now filter logs by string prefixes, decode Base64 payloads inline, parse logfmt structured logs into fields, expand nested JSON arrays into individual records, calculate distances between coordinates, and automatically surface relevant fields in high-cardinality log groups.

These commands and functions are available today in all commercial AWS Regions. To learn more, see the Amazon CloudWatch Logs documentation.

 

​Amazon CloudWatch Logs Insights query language now supports 13 new commands and functions that give you more powerful ways to query, transform, and analyze your logs. Customers analyzing logs in CloudWatch Logs Insights often need to perform string manipulation, encode or decode field values, parse non-JSON log formats, or calculate geographic distances, so they can derive deeper insights from their logs. With this launch, CloudWatch Logs Insights provides new string and numeric functions (round, startswith, endswith, case, regex_replace, haversine), encoding and decoding functions (urlencode, urldecode, base64encode, base64decode), and new parse and analysis commands (parse logfmt, expand, relevantfields). You can now filter logs by string prefixes, decode Base64 payloads inline, parse logfmt structured logs into fields, expand nested JSON arrays into individual records, calculate distances between coordinates, and automatically surface relevant fields in high-cardinality log groups. These commands and functions are available today in all commercial AWS Regions. To learn more, see the Amazon CloudWatch Logs documentation.  

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SageMaker Unified Studio automates Glue connector provisioning for cross-subnet job retries

Amazon SageMaker Unified Studio now supports automatic creation of connections for Glue job retries across subnets to improve data pipeline resilience. This helps organizations running business-critical data pipelines reduce unplanned downtime and meet their SLAs — without requiring engineers to manually configure backup connectors or intervene during subnet failures.

With this launch, SageMaker Unified Studio automates the provisioning of Glue connectors across subnets defined in the domain VPC configuration. Administrators can define their domain VPC with multiple private subnets across availability zones, and the system provisions the connectors needed for all new projects so that failed jobs can be retried on an alternate subnet automatically. If a Glue job fails because the primary subnet is unavailable due to IP address exhaustion or availability zone degradation, the job can be retried on a connector in a different subnet. No user action is needed beyond the initial VPC configuration on the domain.

This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the Amazon SageMaker Unified Studio documentation

 

​Amazon SageMaker Unified Studio now supports automatic creation of connections for Glue job retries across subnets to improve data pipeline resilience. This helps organizations running business-critical data pipelines reduce unplanned downtime and meet their SLAs — without requiring engineers to manually configure backup connectors or intervene during subnet failures.
With this launch, SageMaker Unified Studio automates the provisioning of Glue connectors across subnets defined in the domain VPC configuration. Administrators can define their domain VPC with multiple private subnets across availability zones, and the system provisions the connectors needed for all new projects so that failed jobs can be retried on an alternate subnet automatically. If a Glue job fails because the primary subnet is unavailable due to IP address exhaustion or availability zone degradation, the job can be retried on a connector in a different subnet. No user action is needed beyond the initial VPC configuration on the domain.
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the Amazon SageMaker Unified Studio documentation.   

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Amazon EC2 C7i-flex, M7i-flex & M7i instances now available in Asia Pacific (Hyderabad) region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex, M7i-flex and M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Hyderabad) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

C7i-flex and M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to C6i and M6i  instances respectively. These instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. 

 

M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.

To learn more, visit the EC2  C7i-flex and M7i/M7i-flex instances pages.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex, M7i-flex and M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Hyderabad) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. C7i-flex and M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to C6i and M6i  instances respectively. These instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. 
 
M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. To learn more, visit the EC2  C7i-flex and M7i/M7i-flex instances pages.  

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Amazon SageMaker AI now supports OpenAI-compatible APIs for inference endpoints

Amazon SageMaker Inference now supports OpenAI-compatible APIs, so you can use the tools and frameworks you already know, like the OpenAI SDK, LangChain, and Strands Agents, to connect directly to your SageMaker endpoints. Switching requires nothing more than changing an endpoint URL — no custom integration code, no SDK wrappers, no rewrites.

With this launch, you no longer need to adopt a different API format or change your authentication approach. Simply change your endpoint URL, and your existing SDK calls, streaming logic, and framework integrations continue to work as-is. You immediately gain the ability to choose your own GPU instances, keep data in your own VPC, run any open source or fine-tuned model, and scale with auto-scaling policies tuned to your workload. Authentication uses existing AWS credentials with automatic token refresh, so there is nothing extra to manage in production.

This capability is available today in US East (N. Virginia), US West (Oregon), US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Jakarta), Europe (Ireland), Europe (Frankfurt), South America (São Paulo), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (London), Asia Pacific (Singapore), Asia Pacific (Sydney), and Canada (Central). To learn more and get started, read the launch blog or visit the SageMaker Inference documentation.

 

​Amazon SageMaker Inference now supports OpenAI-compatible APIs, so you can use the tools and frameworks you already know, like the OpenAI SDK, LangChain, and Strands Agents, to connect directly to your SageMaker endpoints. Switching requires nothing more than changing an endpoint URL — no custom integration code, no SDK wrappers, no rewrites. With this launch, you no longer need to adopt a different API format or change your authentication approach. Simply change your endpoint URL, and your existing SDK calls, streaming logic, and framework integrations continue to work as-is. You immediately gain the ability to choose your own GPU instances, keep data in your own VPC, run any open source or fine-tuned model, and scale with auto-scaling policies tuned to your workload. Authentication uses existing AWS credentials with automatic token refresh, so there is nothing extra to manage in production. This capability is available today in US East (N. Virginia), US West (Oregon), US East (Ohio), Asia Pacific (Mumbai), Asia Pacific (Jakarta), Europe (Ireland), Europe (Frankfurt), South America (São Paulo), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (London), Asia Pacific (Singapore), Asia Pacific (Sydney), and Canada (Central). To learn more and get started, read the launch blog or visit the SageMaker Inference documentation.  

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Amazon Aurora MySQL 8.4 is now generally available

Amazon Aurora MySQL-Compatible Edition now supports MySQL 8.4, a community MySQL Long Term Support (LTS) major version. Aurora MySQL 8.4 launches with compatibility for community MySQL 8.4.7 and introduces aligned version numbering, so the version number you run on Aurora matches the community MySQL version it is compatible with. Aurora also manages the underlying patch on your behalf, simplifying day-to-day operations. Aurora MySQL now targets major versions within 12 months of community MySQL LTS releases, minor versions within 3 months of each community minor, and an Aurora LTS minor within 12 months of each major. For engine specific release objectives, see the Aurora and RDS open source release calendar announcement.

Aurora MySQL 8.4 strengthens security defaults for new clusters. TLS is enforced by default with only TLS 1.2 and 1.3 supported, new accounts use the caching_sha2_password authentication plugin, and password validation policies are customizable through DB cluster parameter groups. Automated upgrade prechecks identify compatibility issues before your cluster goes offline, giving you confidence before you upgrade. To learn more about the Aurora MySQL 8.4 customer experience, refer to the Aurora MySQL 8.4 launch announcement blog.

You can upgrade your database using Amazon RDS Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Learn more about performing major version upgrades in the Amazon Aurora User Guide. You can also migrate to Aurora MySQL 8.4 from external MySQL sources using AWS Database Migration Service or Percona XtraBackup. Aurora MySQL 8.4 is available in all AWS Regions where Aurora MySQL is available.

Amazon Aurora MySQL is designed for unparalleled high performance and availability at global scale with full MySQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for Multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started with Amazon Aurora, take a look at our getting started page.

 

​Amazon Aurora MySQL-Compatible Edition now supports MySQL 8.4, a community MySQL Long Term Support (LTS) major version. Aurora MySQL 8.4 launches with compatibility for community MySQL 8.4.7 and introduces aligned version numbering, so the version number you run on Aurora matches the community MySQL version it is compatible with. Aurora also manages the underlying patch on your behalf, simplifying day-to-day operations. Aurora MySQL now targets major versions within 12 months of community MySQL LTS releases, minor versions within 3 months of each community minor, and an Aurora LTS minor within 12 months of each major. For engine specific release objectives, see the Aurora and RDS open source release calendar announcement. Aurora MySQL 8.4 strengthens security defaults for new clusters. TLS is enforced by default with only TLS 1.2 and 1.3 supported, new accounts use the caching_sha2_password authentication plugin, and password validation policies are customizable through DB cluster parameter groups. Automated upgrade prechecks identify compatibility issues before your cluster goes offline, giving you confidence before you upgrade. To learn more about the Aurora MySQL 8.4 customer experience, refer to the Aurora MySQL 8.4 launch announcement blog. You can upgrade your database using Amazon RDS Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Learn more about performing major version upgrades in the Amazon Aurora User Guide. You can also migrate to Aurora MySQL 8.4 from external MySQL sources using AWS Database Migration Service or Percona XtraBackup. Aurora MySQL 8.4 is available in all AWS Regions where Aurora MySQL is available. Amazon Aurora MySQL is designed for unparalleled high performance and availability at global scale with full MySQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for Multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started with Amazon Aurora, take a look at our getting started page.  

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Amazon RDS Custom now supports the latest GDR updates for Microsoft SQL Server

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for SQL Server 2019 CU32+GDR KB5084816 (RDS version 15.00.4465.1.v1) and SQL Server 2022 CU24+GDR KB5083252 (RDS version 16.00.4250.1.v1).

The GDR updates address vulnerabilities described in CVE-2026-32167 and CVE-2026-32176. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5084816, KB5083252. You can upgrade your Amazon RDS Custom for SQL Server instances to apply these recommended updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. To learn more about upgrading your database instances, see Amazon RDS Custom User Guide.

 

​Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for SQL Server 2019 CU32+GDR KB5084816 (RDS version 15.00.4465.1.v1) and SQL Server 2022 CU24+GDR KB5083252 (RDS version 16.00.4250.1.v1). The GDR updates address vulnerabilities described in CVE-2026-32167 and CVE-2026-32176. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5084816, KB5083252. You can upgrade your Amazon RDS Custom for SQL Server instances to apply these recommended updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. To learn more about upgrading your database instances, see Amazon RDS Custom User Guide.