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Microsoft 365 Copilot Business: El futuro del trabajo para las pequeñas empresas

Microsoft 365 Copilot Business: El futuro del trabajo para las pequeñas empresas

Imagen ilustrativa de dos profesionales de pequeñas empresas trabajando en una propuesta de negocio

Por: Jared Spataro, director de marketing, IA at Work, Microsoft

Las pequeñas empresas funcionan con equipos y plazos más ajustados: cada hora y cada decisión cuenta. Pero cuando tienes que manejar un mosaico de aplicaciones independientes y chatbots, tienes más fricción que flujo. Los datos acaban dispersos, la seguridad pasa a ser secundaria y tu equipo pierde tiempo en el cambio de herramienta en vez de atender a los clientes. En resumen: no necesitan un producto puntual más: necesitan una solución que lo reúna todo para que puedan centrarse en el crecimiento, no en las lagunas.

Microsoft está diseñada para empoderar a empresas preparadas para el futuro. Desde herramientas de productividad de primer nivel que agilizan el trabajo hasta IA y agentes seguros e integrados que impulsan mejores decisiones y automatizan flujos de trabajo, ayudamos a las empresas a mantenerse conectadas y eficientes. Simplificamos y protegemos sus operaciones con una seguridad robusta, una gestión fiable de datos y un sistema de planificación de recursos empresariales (ERP, por sus siglas en inglés) adaptado a pequeñas y medianas empresas (PyMEs). Microsoft ofrece un enfoque integral que permite a las PyMEs trabajar de manera más inteligente y prosperar en un mundo que cambia con rapidez.

IA de calidad empresarial, precio amigable para PyMEs: Microsoft Copilot Business ya está disponible

Microsoft ya tiene una gran gama de productos para pequeñas y medianas empresas; que mejoró aún más. Nos complace anunciar la disponibilidad general de Microsoft 365 Copilot Business, una solución de IA integral y completa, diseñada para el trabajo a un precio accesible para las PyMEs. Por solo 21 USD por usuario y al mes, Copilot Business incorpora una IA segura y de nivel empresarial a las aplicaciones de Microsoft 365 que  las PyMEs utilizan cada día: Word, Excel, PowerPoint, Outlook y Teams.

Un chat que destaca las diferencias entre Microsoft 365 Copilot Chat, Microsoft 365 Copilot

Y ahora, solo por un tiempo limitado (hasta el 31 de marzo de 2026), pueden desbloquear precios aún mejores al comprar Copilot Business con los planes Microsoft 365 Business, lo que facilita más que nunca equipar a su equipo con las herramientas necesarias para trabajar de forma más inteligente y crecer más rápido.

Microsoft 365 Copilot está diseñado por IA para el trabajo

Microsoft 365 Copilot no es solo otra herramienta de IA: está diseñado en específico para apoyar su negocio. Impulsado por Work IQ, la capa de inteligencia que permite a Copilot entender su negocio, Copilot aprende cómo trabajan y con quién trabajan, para anticipar sus necesidades, automatizar tareas rutinarias y mostrar lo que en verdad importa. Eso significa menos tiempo dedicado a tareas repetitivas y más tiempo en impulsar el crecimiento, para servir a los clientes y planificar el futuro.

Integrado en las aplicaciones de Microsoft 365, Copilot ofrece asistencia impulsada por IA para tareas como resumir correos electrónicos, redactar documentos, analizar datos y tomar notas de reuniones, todo ello sin interrumpir su flujo de trabajo. Funciona a la perfección en Teams, Outlook, Word, Excel y PowerPoint, además de respetar las configuraciones de seguridad y cumplimiento existentes de su organización. Basado en la confiable nube de Microsoft, Copilot garantiza que sus datos permanezcan protegidos y privados, para que puedan tomar decisiones más rápidas e inteligentes y escalar con confianza, sin los riesgos de seguridad que conlleva unir múltiples soluciones puntuales o productos de consumo propio.

Copilot va más allá del chat. También proporciona agentes de IA, asistentes digitales especializados que pueden gestionar flujos de trabajo completos, no solo tareas individuales. ¿Necesitan automatizar la incorporación? ¿Gestionar inventario? ¿Mejorar el tiempo de resolución de los clientes? Los agentes pueden hacer eso. Trabajan entre bastidores para gestionar la complejidad, liberándolos a ustedes y a su equipo para que se centren en lo que importa para su negocio. Con Microsoft Copilot Studio, cualquier organización puede crear agentes personalizados específicos para sus procesos y necesidades empresariales, sin necesidad de programación. Y con un panel de control sencillo  para gestionarlos, estos agentes ponen la automatización de nivel empresarial al alcance de las PyMEs.

Seguridad diseñada para PyMEs: Microsoft Defender y Microsoft Purview

En el panorama actual de amenazas, la seguridad no puede ser una idea secundaria, en especial al adoptar la IA. Microsoft 365 Copilot está diseñado para funcionar dentro de los límites de seguridad y cumplimiento existentes de su organización, para que los datos sensibles no se compartan en exceso ni se expongan. Copilot respeta los permisos y políticas establecidos por Microsoft Purview, lo que asegura que solo las personas adecuadas vean la información correcta.

Microsoft ofrece protección avanzada adaptada a PyMEs mediante soluciones como Microsoft Defender y Microsoft Purview, ahora disponibles en SKUs diseñados para organizaciones más pequeñas. Microsoft Defender ofrece protección empresarial contra phishing y ransomware, con investigación automatizada y defensa en tiempo real, sin la complejidad de las soluciones puntuales. Microsoft Purview ayuda a las empresas a gobernar, proteger y gestionar datos sensibles en entornos en la nube y locales, lo que reduce riesgos y garantiza el cumplimiento normativo.

Junto con Copilot, estas soluciones proporcionan una base segura para la productividad y la innovación, lo que ayuda a aprovechar la IA sin comprometer la seguridad o el cumplimiento normativo de los datos.

¿Listos para transformarse? Así es como empezar

El futuro del trabajo no consiste en perseguir la última app o tendencia. Se trata de construir un sistema que funcione en conjunto, de forma segura y que funcione para ustedes. Microsoft ofrece esa solución: un ecosistema donde la inteligencia, la integración y la confianza convergen para ayudar a las pequeñas empresas a prosperar. Si están listos para simplificar la complejidad, desbloquear la productividad y escalar con confianza, la elección es clara: Microsoft está hecho para su éxito.

Nunca ha habido un mejor momento para modernizar su negocio con Microsoft. Combinen Copilot Business con los planes Microsoft 365 Business y añadan Microsoft Purview a través de nuestra red de socios para obtener la mejor relación calidad-precio y una experiencia fluida.

Hablen hoy mismo con su socio de Microsoft o visiten nuestra web para empezar, Microsoft estará con ustedes en cada paso del camino.

The post Microsoft 365 Copilot Business: El futuro del trabajo para las pequeñas empresas appeared first on Source LATAM.

 

​The post Microsoft 365 Copilot Business: El futuro del trabajo para las pequeñas empresas appeared first on Source LATAM.  

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Amazon WorkSpaces Applications announces additional health and performance metrics

Today, Amazon WorkSpaces Applications announced a new set of Amazon CloudWatch metrics for monitoring the health and performance of fleets, sessions, instances, and users. Administrators and support operations personnel can conveniently enable monitoring across fleets from the Amazon CloudWatch console. These metrics simplify troubleshooting and dynamically update to reflect the latest state of important performance metrics.

Users can make informed decisions on sizing and end users’ streaming instances by setting performance thresholds on available metrics to meet performance and budgeting criteria. They can view instance and session performance metrics to troubleshoot end user streaming session related issues.

To enable this feature for your fleet instancess, you must use a WorkSpaces Applications image that uses latest agent released on or after December 06, 2025 or has been updated using Managed WorkSpaces Applications image updates released on or after December 05, 2025.

These CloudWatch metrics are available in all the AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications is currently available. To get started or learn more, you can visit Amazon WorkSpaces Applications Metrics and Dimensions documentation

 

​Today, Amazon WorkSpaces Applications announced a new set of Amazon CloudWatch metrics for monitoring the health and performance of fleets, sessions, instances, and users. Administrators and support operations personnel can conveniently enable monitoring across fleets from the Amazon CloudWatch console. These metrics simplify troubleshooting and dynamically update to reflect the latest state of important performance metrics. Users can make informed decisions on sizing and end users’ streaming instances by setting performance thresholds on available metrics to meet performance and budgeting criteria. They can view instance and session performance metrics to troubleshoot end user streaming session related issues. To enable this feature for your fleet instancess, you must use a WorkSpaces Applications image that uses latest agent released on or after December 06, 2025 or has been updated using Managed WorkSpaces Applications image updates released on or after December 05, 2025.
These CloudWatch metrics are available in all the AWS commercial and AWS GovCloud (US) Regions where Amazon WorkSpaces Applications is currently available. To get started or learn more, you can visit Amazon WorkSpaces Applications Metrics and Dimensions documentation.   

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EC2 Auto Scaling now offers a synchronous API to launch instances inside an Auto Scaling group

Today, EC2 Auto Scaling is launching a new API, LaunchInstances, which gives customers more control and flexibility over how EC2 Auto Scaling provisions instances while providing instant feedback on capacity availability.

Customers use EC2 Auto Scaling for automated fleet management. With scaling policies, EC2 Auto Scaling can automatically add instances when demand spikes and remove them when traffic drops, ensuring customers’ applications always have the right amount of compute. EC2 Auto Scaling also offers the ability to monitor and replace unhealthy instances. In certain use cases, customers may want to specify exactly where EC2 Auto Scaling should launch additional instances and need immediate feedback on capacity availability. The new LaunchInstances API allows customers to precisely control where instances are launched by specifying an override for any Availability Zone and/or subnet in an Auto Scaling group, while providing immediate feedback on capacity availability. This synchronous operation gives customers real-time insight into scaling operations, enabling them to quickly implement alternative strategies if needed. For additional flexibility, the API includes optional asynchronous retries to help reach the desired capacity.

This feature is now available in all AWS Regions and AWS GovCloud (US) Regions, at no additional cost beyond standard EC2 and EBS usage. To get started, visit the AWS Command Line Interface (CLI) and the AWS SDKs. To learn more about this feature, visit the AWS documentation

 

​Today, EC2 Auto Scaling is launching a new API, LaunchInstances, which gives customers more control and flexibility over how EC2 Auto Scaling provisions instances while providing instant feedback on capacity availability. Customers use EC2 Auto Scaling for automated fleet management. With scaling policies, EC2 Auto Scaling can automatically add instances when demand spikes and remove them when traffic drops, ensuring customers’ applications always have the right amount of compute. EC2 Auto Scaling also offers the ability to monitor and replace unhealthy instances. In certain use cases, customers may want to specify exactly where EC2 Auto Scaling should launch additional instances and need immediate feedback on capacity availability. The new LaunchInstances API allows customers to precisely control where instances are launched by specifying an override for any Availability Zone and/or subnet in an Auto Scaling group, while providing immediate feedback on capacity availability. This synchronous operation gives customers real-time insight into scaling operations, enabling them to quickly implement alternative strategies if needed. For additional flexibility, the API includes optional asynchronous retries to help reach the desired capacity. This feature is now available in all AWS Regions and AWS GovCloud (US) Regions, at no additional cost beyond standard EC2 and EBS usage. To get started, visit the AWS Command Line Interface (CLI) and the AWS SDKs. To learn more about this feature, visit the AWS documentation.   

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Amazon ECR Public now supports PrivateLink for US East (N. Virginia) SDK Endpoint

Amazon Elastic Container Registry (ECR) Public now supports PrivateLink for the US East (N. Virginia) SDK endpoint, providing enhanced network security and private connectivity for customers. This update allows customers to access this ECR Public SDK endpoint through a private network connection, reducing exposure to the public internet.

With this enhancement, customers can now establish a private connection from their Amazon Virtual Private Cloud (VPC) to their ECR Public SDK endpoint while creating and maintaining their ECR Public repositories. This means organizations can maintain network privacy and security, reduce exposure of sensitive network traffic, comply with stricter network security requirements, and simplify network architecture for accessing ECR Public resources.

Get started today with the US East (N. Virginia) ECR Public SDK endpoint.

To learn more, visit ECR documentation.

 

​Amazon Elastic Container Registry (ECR) Public now supports PrivateLink for the US East (N. Virginia) SDK endpoint, providing enhanced network security and private connectivity for customers. This update allows customers to access this ECR Public SDK endpoint through a private network connection, reducing exposure to the public internet. With this enhancement, customers can now establish a private connection from their Amazon Virtual Private Cloud (VPC) to their ECR Public SDK endpoint while creating and maintaining their ECR Public repositories. This means organizations can maintain network privacy and security, reduce exposure of sensitive network traffic, comply with stricter network security requirements, and simplify network architecture for accessing ECR Public resources. Get started today with the US East (N. Virginia) ECR Public SDK endpoint.
To learn more, visit ECR documentation.  

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Now generally available: Amazon EC2 M8gn and M8gb instances

Today, AWS announces the general availability of the new Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. M8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offer up to 150 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances.

M8gn are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function (UPF). M8gb are ideal for workloads requiring high block storage performance such as high performance databases and NoSQL databases.

M8gn instances offer instance sizes up to 48xlarge, up to 768 GiB of memory, up to 600 Gbps of networking bandwidth, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). They also support EFA networking on the 16xlarge, 24xlarge, and 48xlarge sizes.

M8gb instances offer sizes up to 24xlarge, up to 768 GiB of memory, up to 150 Gbps of EBS bandwidth, and up to 200 Gbps of networking bandwidth. They support Elastic Fabric Adapter (EFA) networking on the 16xlarge and 24xlarge sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.

The new instances are available in the following AWS Regions: US East (N. Virginia), and US West (Oregon).

To learn more, see Amazon EC2 M8gn and M8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.

 

​Today, AWS announces the general availability of the new Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. M8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offer up to 150 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances. M8gn are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function (UPF). M8gb are ideal for workloads requiring high block storage performance such as high performance databases and NoSQL databases.
M8gn instances offer instance sizes up to 48xlarge, up to 768 GiB of memory, up to 600 Gbps of networking bandwidth, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). They also support EFA networking on the 16xlarge, 24xlarge, and 48xlarge sizes. M8gb instances offer sizes up to 24xlarge, up to 768 GiB of memory, up to 150 Gbps of EBS bandwidth, and up to 200 Gbps of networking bandwidth. They support Elastic Fabric Adapter (EFA) networking on the 16xlarge and 24xlarge sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.
The new instances are available in the following AWS Regions: US East (N. Virginia), and US West (Oregon). To learn more, see Amazon EC2 M8gn and M8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.  

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AWS announces enhanced custom line item controls for AWS Billing Conductor

Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items.

Customers can now create service-specific custom line items scoped at either one AWS service or to a set of selected AWS service and can choose how these line items are presented in the pro forma billing artifacts, such as Bills Page, Cost Explorer and Cost and Usage Records.

These enhancements enable customers to create more precise and tailored charge-back and re-billing strategies that better reflect their pricing structures and improve the traceability experience for pro forma users. Customers can use this functionality to apply percentage discounts on Saving Plans fees or allocate shared flat support charges under AWS Support service. Service specific custom line items are available for standard billing group regardless of the type of pricing plan selected, and for billing-transfer billing groups exclusively when customer-managed pricing plans are selected.

To start, use AWS Billing Conductor console or APIs, create a custom line item and specify the cost reference value (one or multiple AWS services) and the display setting options (itemized or consolidated under your service of choice). To learn more about custom line items visit AWS Billing Conductor documentation.

This feature is available now in all AWS commercial Regions, excluding AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD.

 

​Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items. Customers can now create service-specific custom line items scoped at either one AWS service or to a set of selected AWS service and can choose how these line items are presented in the pro forma billing artifacts, such as Bills Page, Cost Explorer and Cost and Usage Records. These enhancements enable customers to create more precise and tailored charge-back and re-billing strategies that better reflect their pricing structures and improve the traceability experience for pro forma users. Customers can use this functionality to apply percentage discounts on Saving Plans fees or allocate shared flat support charges under AWS Support service. Service specific custom line items are available for standard billing group regardless of the type of pricing plan selected, and for billing-transfer billing groups exclusively when customer-managed pricing plans are selected. To start, use AWS Billing Conductor console or APIs, create a custom line item and specify the cost reference value (one or multiple AWS services) and the display setting options (itemized or consolidated under your service of choice). To learn more about custom line items visit AWS Billing Conductor documentation. This feature is available now in all AWS commercial Regions, excluding AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD.  

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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 Europe (Paris), and Asia Pacific (Hyderabad) 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 Europe (Paris), and Asia Pacific (Hyderabad) 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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AWS IAM Identity Center is now available in the Asia Pacific (Taipei) AWS Region

You can now deploy AWS IAM Identity Center in 37 AWS Regions, including Asia Pacific (Taipei).

IAM Identity Center is the recommended service for managing workforce access to AWS applications. It enables you to connect your existing source of workforce identities to AWS once and offer your users single sign on experience across AWS. It powers the personalized experiences offered by AWS applications, such as Amazon Q, and the ability to define and audit user-aware access to data in AWS services, such as Amazon Redshift. It can also help you manage access to multiple AWS accounts from a central place. IAM Identity Center is available at no additional cost in these AWS Regions.

To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center user guide.

 

​You can now deploy AWS IAM Identity Center in 37 AWS Regions, including Asia Pacific (Taipei). IAM Identity Center is the recommended service for managing workforce access to AWS applications. It enables you to connect your existing source of workforce identities to AWS once and offer your users single sign on experience across AWS. It powers the personalized experiences offered by AWS applications, such as Amazon Q, and the ability to define and audit user-aware access to data in AWS services, such as Amazon Redshift. It can also help you manage access to multiple AWS accounts from a central place. IAM Identity Center is available at no additional cost in these AWS Regions. To learn more about IAM Identity Center, visit the product detail page. To get started, see the IAM Identity Center user guide.  

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AWS Databases are now available on the Vercel Marketplace

Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds.

To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the AWS landing page on the Vercel Marketplace.

The integration includes serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon.

AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you’re prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.

 

​Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds. To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the AWS landing page on the Vercel Marketplace. The integration includes serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon. AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you’re prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.  

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Amazon Aurora now supports PostgreSQL 18.1 in the Amazon RDS Database preview environment

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 18.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 18.1 on Amazon Aurora PostgreSQL. PostgreSQL 18.1 was released by the PostgreSQL community on September 9, 2025. 

PostgreSQL 18.1 includes «skip scan» support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with a per-connection I/O utilization metric. To learn more about PostgreSQL 18.1, read here.
 
Database instances in the RDS Database Preview Environment allow testing of a new database engine without the hassle of having to self-install, provision, and manage a preview version of the Aurora PostgreSQL database software. Clusters are retained for a maximum period of 60 days and are automatically deleted after this retention period. Amazon RDS Database Preview Environment database instances are priced the same as production Aurora instances created in the US East (Ohio) Region.
 
Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.

 

​Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 18.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 18.1 on Amazon Aurora PostgreSQL. PostgreSQL 18.1 was released by the PostgreSQL community on September 9, 2025.  PostgreSQL 18.1 includes «skip scan» support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with a per-connection I/O utilization metric. To learn more about PostgreSQL 18.1, read here.   Database instances in the RDS Database Preview Environment allow testing of a new database engine without the hassle of having to self-install, provision, and manage a preview version of the Aurora PostgreSQL database software. Clusters are retained for a maximum period of 60 days and are automatically deleted after this retention period. Amazon RDS Database Preview Environment database instances are priced the same as production Aurora instances created in the US East (Ohio) Region.   Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.