Publicado el — Deja un comentario

AWS Resource Explorer supports 41 new resource types

AWS Resource Explorer now supports 41 more resource types across all AWS commercial Regions from services including AWS CloudTrail, Amazon Connect, Amazon Sagemaker, and more.

With this release, customers can now search for the following resource types in AWS Resource Explorer:

  1. cloud9:environment
  2. cloudtrail:eventdatastore
  3. connect:instance/rule
  4. connect:instance/task-template
  5. connect:phone-number
  6. datapipeline:pipeline
  7. dax:cache
  8. devicefarm:project
  9. devicefarm:testgrid-project
  10. ds:directory
  11. ec2:ipam-resource-discovery
  12. ec2:ipam-resource-discovery-association
  13. elasticloadbalancing:listener-rule/net
  14. events:connection
  15. forecast:dataset-import-job
  16. forecast:forecast
  17. forecast:forecast-export-job
  18. forecast:predictor
  19. forecast:predictor-backtest-export-job
  20. geo:map
  21. grafana:workspaces
  22. groundstation:dataflow-endpoint-group
  23. iot:ruledestination
  24. iotfleetwise:vehicle
  25. ivschat:logging-configuration
  26. ivschat:room
  27. lookoutmetrics:AnomalyDetector
  28. m2:env
  29. outposts:site
  30. quicksight:theme
  31. route53-recovery-control:cluster
  32. route53-recovery-control:controlpanel/safetyrule
  33. route53-recovery-readiness:readiness-check
  34. route53resolver:firewall-rule-group-association
  35. rum:appmonitor
  36. sagemaker:app-image-config
  37. servicediscovery:service
  38. synthetics:group
  39. transfer:agreement
  40. transfer:profile
  41. workspaces:connectionalias

To view a complete list of all supported types, see the supported resource types page.

 

​AWS Resource Explorer now supports 41 more resource types across all AWS commercial Regions from services including AWS CloudTrail, Amazon Connect, Amazon Sagemaker, and more. With this release, customers can now search for the following resource types in AWS Resource Explorer:

cloud9:environment
cloudtrail:eventdatastore
connect:instance/rule
connect:instance/task-template
connect:phone-number
datapipeline:pipeline
dax:cache
devicefarm:project
devicefarm:testgrid-project
ds:directory
ec2:ipam-resource-discovery
ec2:ipam-resource-discovery-association
elasticloadbalancing:listener-rule/net
events:connection
forecast:dataset-import-job
forecast:forecast
forecast:forecast-export-job
forecast:predictor
forecast:predictor-backtest-export-job
geo:map
grafana:workspaces
groundstation:dataflow-endpoint-group
iot:ruledestination
iotfleetwise:vehicle
ivschat:logging-configuration
ivschat:room
lookoutmetrics:AnomalyDetector
m2:env
outposts:site
quicksight:theme
route53-recovery-control:cluster
route53-recovery-control:controlpanel/safetyrule
route53-recovery-readiness:readiness-check
route53resolver:firewall-rule-group-association
rum:appmonitor
sagemaker:app-image-config
servicediscovery:service
synthetics:group
transfer:agreement
transfer:profile
workspaces:connectionalias

To view a complete list of all supported types, see the supported resource types page.  

Publicado el — Deja un comentario

AWS Systems Manager adds customization options for onboarding configuration

AWS Systems Manager now enables customers to customize their configurations when enabling the new Systems Manager experience, which provides centralized node management capabilities across AWS accounts and Regions. Customers can choose to enable or disable default EC2 instance permissions for Systems Manager connectivity, set the frequency of inventory metadata collection, and define how often the SSM Agent automatically updates.

These options allow customers to tailor their Systems Manager setup while centrally managing their nodes. The new Systems Manager experience uses Default Host Management Configuration (DHMC) to grant EC2 instances permissions to connect to Systems Manager. This simplifies setup and permission management and replaces the previous approach that attached IAM instance profiles to each instance. Customers who prefer to self-manage SSM Agent permissions for EC2 instances can opt out of DHMC to use their own policies. Customers can also define inventory collection schedules and SSM Agent update frequencies that align with their operational requirements. By providing these configuration options, Systems Manager enables customers to manage settings through their preferred methods, including self-managed Infrastructure as Code (IaC) tools and processes.

These customization options are available in all AWS Regions where the new Systems Manager experience is available.

You can select these customization options when you first onboard to the new Systems Manager experience. If you’ve already onboarded, you can review the new options and upgrade to the latest configuration version from the Systems Manager settings page. To learn more about Systems Manager onboarding configurations, visit the AWS Systems Manager documentation.
 

 

​AWS Systems Manager now enables customers to customize their configurations when enabling the new Systems Manager experience, which provides centralized node management capabilities across AWS accounts and Regions. Customers can choose to enable or disable default EC2 instance permissions for Systems Manager connectivity, set the frequency of inventory metadata collection, and define how often the SSM Agent automatically updates. These options allow customers to tailor their Systems Manager setup while centrally managing their nodes. The new Systems Manager experience uses Default Host Management Configuration (DHMC) to grant EC2 instances permissions to connect to Systems Manager. This simplifies setup and permission management and replaces the previous approach that attached IAM instance profiles to each instance. Customers who prefer to self-manage SSM Agent permissions for EC2 instances can opt out of DHMC to use their own policies. Customers can also define inventory collection schedules and SSM Agent update frequencies that align with their operational requirements. By providing these configuration options, Systems Manager enables customers to manage settings through their preferred methods, including self-managed Infrastructure as Code (IaC) tools and processes. These customization options are available in all AWS Regions where the new Systems Manager experience is available. You can select these customization options when you first onboard to the new Systems Manager experience. If you’ve already onboarded, you can review the new options and upgrade to the latest configuration version from the Systems Manager settings page. To learn more about Systems Manager onboarding configurations, visit the AWS Systems Manager documentation.    

Publicado el — Deja un comentario

Amazon EC2 C8gd, M8gd, and R8gd instances are now available in AWS Region Europe (Frankfurt)

Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, Amazon EC2 M8gd instances, and Amazon EC2 R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in AWS Region Europe (Frankfurt). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage.

Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.

These instances are now available in AWS Regions US East (Ohio, N. Virginia), US West (Oregon), and Europe (Frankfurt).

To learn more, see Amazon C8gd instances, Amazon M8gd Instances, and Amazon R8gd Instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton.

 

​Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances, Amazon EC2 M8gd instances, and Amazon EC2 R8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in AWS Region Europe (Frankfurt). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage. Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. These instances are now available in AWS Regions US East (Ohio, N. Virginia), US West (Oregon), and Europe (Frankfurt).
To learn more, see Amazon C8gd instances, Amazon M8gd Instances, and Amazon R8gd Instances. To learn how to migrate your workloads to AWS Graviton-based instances, see the Getting started with Graviton.  

Publicado el — Deja un comentario

Amazon MSK enables seamless certificate renewals on MSK Provisioned clusters

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now provides seamless certificate renewal for all MSK Provisioned clusters, allowing the brokers in your cluster to receive the most up-to-date encryption certificates without going through a restart. The encryption certificates used by Amazon MSK require renewal every 13 months. With this launch, certificate renewals on Amazon MSK Provisioned clusters now occur seamlessly without disruption to client connectivity.

This feature is available in all AWS Regions where MSK Provisioned is supported. To learn more, visit the Amazon MSK Developer Guide.
 

 

​Amazon Managed Streaming for Apache Kafka (Amazon MSK) now provides seamless certificate renewal for all MSK Provisioned clusters, allowing the brokers in your cluster to receive the most up-to-date encryption certificates without going through a restart. The encryption certificates used by Amazon MSK require renewal every 13 months. With this launch, certificate renewals on Amazon MSK Provisioned clusters now occur seamlessly without disruption to client connectivity. This feature is available in all AWS Regions where MSK Provisioned is supported. To learn more, visit the Amazon MSK Developer Guide.    

Publicado el — Deja un comentario

Amazon EC2 R7g instances are now available in additional AWS regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in AWS Middle East (UAE), Canada West (Calgary), Europe (Paris, Zurich), Asia Pacific (Jakarta, Osaka), and Israel (Tel Aviv) Regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 R7g. 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) R7g instances are available in AWS Middle East (UAE), Canada West (Calgary), Europe (Paris, Zurich), Asia Pacific (Jakarta, Osaka), and Israel (Tel Aviv) Regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 R7g. 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.  

Publicado el — Deja un comentario

Amazon Managed Service for Prometheus now available in the AWS Canada (Central) Region

Amazon Managed Service for Prometheus is now available in the AWS Canada (Central) region. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale.

The list of all supported regions where Amazon Managed Service for Prometheus is generally available can be found on the user guide. Customers can send up to 1 billion active metrics to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics.

To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.
 

 

​Amazon Managed Service for Prometheus is now available in the AWS Canada (Central) region. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. The list of all supported regions where Amazon Managed Service for Prometheus is generally available can be found on the user guide. Customers can send up to 1 billion active metrics to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics. To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.    

Publicado el — Deja un comentario

Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry

mayo 7, 2025

Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry

Una mujer con bata blanca sostiene una tableta y habla por teléfono

Por: Olivia Shone, directora sénior de marketing de productos de IA de Azure.

La industria de la salud ha estado de manera constante a la vanguardia de los avances tecnológicos, busca de manera continua formas de mejorar la atención y los resultados de los pacientes. En los últimos años, la integración de la IA en la atención sanitaria ha abierto nuevas vías para la innovación y la eficiencia. Azure OpenAI Service es uno de los principales contribuyentes a esta transformación, ya que permite a los proveedores de atención sanitaria crear mejores resultados a través de funcionalidades de IA avanzadas, como Azure AI Content Safety, que ayuda a mantener el contenido seguro mediante la supervisión del contenido con modelos avanzados de lenguaje y visión.

A continuación, analizamos algunos proveedores de atención médica que han adoptado con éxito Azure OpenAI Service para ahorrar tiempo, optimizar los flujos de trabajo y aumentar el enfoque en los pacientes.

Creación de soluciones personalizadas de IA generativa con Azure OpenAI Service

Kry reduce las tareas administrativas y aumenta el enfoque en la atención al paciente

En el panorama de la transformación digital, que evoluciona con rapidez, las empresas de atención médica como Kry están a la vanguardia de la adopción de tecnologías avanzadas para agilizar las tareas administrativas y permitir que los profesionales médicos se centren más en la atención al paciente. Con más de 200 millones de interacciones con pacientes hasta la fecha, Kry se ha convertido en el mayor proveedor de atención médica digital de Europa, con una alta calificación de satisfacción del paciente de 4,8 sobre 5,0.

Al asociarse con Azure OpenAI Service, Kry aprovecha la IA generativa para revolucionar el acceso de los pacientes a la atención médica. El resultado ha reducido las cargas administrativas de los médicos, optimizado los recursos sanitarios y mejorado la calidad general de la atención al paciente. Al analizar los datos de los pacientes y permitirles elegir el tipo de atención médica que necesitan (como una videoconsulta, consejos de autocuidado, fisioterapia y otros servicios), Kry guía de manera eficiente a los pacientes entre la atención primaria, urgente y secundaria para emparejarlos con los proveedores médicos más adecuados. Cabe destacar que el 60% de los pacientes de Kry son mujeres. Con Kry, se benefician de mejores servicios de salud femenina y de contenidos médicos de calidad.

La asociación entre Kry y Azure OpenAI Service resuelve las ineficiencias en la prestación de atención médica y cambia el futuro de la atención médica para mejor. A medida que la tecnología avanza y la IA continúa su evolución, el compromiso de Kry de aprovechar las soluciones de vanguardia ayudará a garantizar una experiencia de atención médica más accesible, sostenible y eficiente tanto para los pacientes como para los profesionales de la salud.

Diseño y administración de aplicaciones y agentes de IA con Azure AI Foundry

Ontada desbloqueó 150 millones de documentos médicos no estructurados con Azure OpenAI Service

Los sistemas sanitarios de todo el mundo se enfrentan a un reto acuciante relacionado con los datos: cómo desbloquear el contenido de volúmenes de datos sanitarios no estructurados e inaccesibles, como notas clínicas, informes de laboratorio, imágenes médicas y datos operativos. Con el conocimiento de que cada punto de datos puede marcar una diferencia que cambie la vida de los pacientes con cáncer, Ontada, una empresa de McKesson dedicada a los datos y la evidencia oncológica, necesitó analizar 150 millones de documentos oncológicos no estructurados para generar información clave para los pacientes con cáncer. Cuando se realiza de manera manual, este proceso requiere mucho tiempo, es prohibitivo y propenso a errores.

Ontada eligió Azure AI Document Intelligence y Azure OpenAI Service para implementar modelos de lenguaje que se dirigen a casi 100 elementos de datos oncológicos críticos en 39 tipos de cáncer. El resultado aumentó de manera significativa su capacidad para extraer con rapidez datos importantes y detalles clínicos. También desarrollaron una novedosa solución de plataforma de datos llamada ON. Genuity que combina datos estructurados y no estructurados para proporcionar una visión completa de la información del paciente, para mejorar el desarrollo de fármacos y la adopción de tratamientos. Usan Azure Databricks para que su canalización de datos procese ambos tipos de datos, así como Azure AI Document Intelligence para extraer texto de archivos PDF y otros documentos. La plataforma puede aprovisionar y analizar datos en menos de 45 minutos. Como resultado, pudieron procesar 150 millones de documentos en tres semanas y redujeron el tiempo de procesamiento en un 75%. Por medio de la IA de Microsoft Azure, Ontada ya ha acelerado el desarrollo de sus productos de ciencias de la vida, lo que ha acelerado el tiempo de comercialización de meses a solo una semana.

Extracción de datos sencilla y segura con Azure AI Document Intelligence

Shriners Children’s implementa soluciones más eficientes y seguras

La información utilizada por los profesionales de la salud para diagnosticar y tratar a los pacientes a menudo se almacena en sistemas obsoletos que pueden no ser muy seguros o fáciles de operar. Pero para que los médicos traten a los pacientes con prontitud, necesitan soluciones eficientes que minimicen los errores. Antes, Shriners Children’s tenía que confiar en su equipo de análisis para proporcionar información a partir de las notas clínicas y el historial de los pacientes, que a menudo estaban desactualizados o incluso escritos a mano, lo que dificultaba su uso. Este proceso consumía mucho tiempo, era ineficiente y propenso a errores.

Para solucionar este proceso, Shriners Children’s implementó una plataforma de IA que utiliza Azure OpenAI Service y Azure AI Search para alojar y organizar de forma segura los datos de los pacientes. Ahora, los médicos pueden navegar de forma fácil y segura por los datos de los pacientes en una sola ubicación. La solución, llamada ShrinersGPT, aprovecha Azure OpenAI Service además de Azure Blob Storage, Azure AI Search y Azure Monitor Log Analytics, para crear una experiencia fluida y fácil de usar para que los médicos accedan a la información del paciente.

Esta solución es más eficiente y segura; los médicos ahora pueden encontrar con rapidez los síntomas y las afecciones de los pacientes sin depender del equipo de análisis, y los datos se almacenan de forma más segura y solo el personal autorizado puede acceder a ellos. Quizás lo más importante es que la atención al paciente mejora a través de un mejor acceso a los datos, lo que ayuda a crear planes de tratamiento bien informados.

Ofrezcan respuestas relevantes con Azure AI Search

Además, Shriners Children’s ahora está configurado para escalar con facilidad, ya que buscan incorporar la plataforma de análisis de datos Microsoft Fabric dentro de su solución ShrinersGPT. Microsoft Fabric cuenta con un conjunto completo de experiencias de análisis diseñadas para funcionar juntas sin problemas para obtener mejores perspectivas de datos, de modo que los médicos e investigadores de Shriners puedan adaptar la información según sea necesario. También buscan expandirse a otras clínicas de atención médica en su ecosistema y planean mejorar el chatbot para responder a una variedad más amplia de preguntas de salud.

Desde la mejora de la atención al paciente y la simplificación de las tareas administrativas hasta la aceleración de la investigación médica y la mejora de la precisión del diagnóstico, Azure AI ayuda a impulsar la innovación y la eficiencia en la atención sanitaria, lo que crea mejores resultados tanto para los pacientes como para los cuidadores.

Nuestro compromiso con la IA confiable

Las organizaciones de todos los sectores aprovechan las capacidades de Azure AI y Microsoft 365 Copilot para impulsar el crecimiento, aumentar la productividad y crear experiencias de valor agregado.

Nos comprometemos a ayudar a las organizaciones a usar y crear una IA que sea confiable, es decir, que sea segura, privada y segura. Aportamos las mejores prácticas y aprendizajes de décadas de investigación y creación de productos de IA a escala para proporcionar compromisos y capacidades líderes en la industria que abarcan nuestros tres pilares de seguridad, privacidad y protección. Una IA confiable solo es posible cuando se combinan nuestros compromisos, como nuestra Iniciativa de Futuro Seguro y nuestros principios de IA Responsable, con las capacidades de nuestros productos para desbloquear la transformación de la IA con confianza.

Más información sobre Azure OpenAI Service

Introducción a Azure AI

The post Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry appeared first on Source LATAM.

 

​The post Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry appeared first on Source LATAM.  

Publicado el — Deja un comentario

Amazon EC2 Flex larger instance sizes are now available in AWS Asia Pacific (Seoul) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances.

To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.
 

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances. To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.    

Publicado el — Deja un comentario

Amazon WorkSpaces is now available in AWS Europe (Paris) Region

Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI).

Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs.

To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.

 

​Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI). Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs. To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.  

Publicado el — Deja un comentario

Amazon SageMaker adds support for three new data sources

Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases.

With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities.

Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table.

To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.

 

​Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases. With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities. Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table. To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.