Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand).
Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
To learn more and get started, see SageMaker AI documentation and pricing page.
AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage.
With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time.
AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage. With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time. To view your carbon footprint data, navigate to your carbon emissions data through the AWS Billing and Cost Management console. For more information about CCFT visit the CCFT capabilities and features page, review the CCFT user guides, and learn more by visiting the CCFT webpage.
Starting today, Amazon EC2 M8i instances are now available in Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), and Canada (Central) Regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i instances, with even higher gains for specific workloads. The M8i instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i instances.
M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.
Starting today, Amazon EC2 M8i instances are now available in Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), and Canada (Central) Regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i instances, with even higher gains for specific workloads. The M8i instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i instances. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i instance page or visit the AWS News blog.
AWS Artifact now enables direct access to previous versions of AWS compliance reports, eliminating the need to contact AWS Support or account representatives. This self-service capability helps customers efficiently manage their compliance documentation requirements, particularly during audits and vendor assessments that require historical compliance evidence.
To access previous report versions, you need the «artifact:ListReportVersions» IAM permission, which is included in the AWS managed policy «AWSArtifactReportsReadOnlyAccess». If you’re unable to view previous versions of reports in the AWS Artifact console, please contact your AWS account administrator to request this permission.
Once authorized, you can access previous versions of compliance reports (such as SOC, ISO, and C5) directly through the AWS Artifact console. Simply navigate to the reports page and select any report to view its available versions. The availability of previous report versions varies by compliance program, with some reports offering versions from multiple prior years while others may have more limited historical coverage.
This feature is now generally available in US East (N. Virginia) and AWS GovCloud (US-West) Regions.
To learn more about accessing previous versions of compliance reports, visit the AWS Artifact documentation. For general information about AWS Artifact, see the AWS Artifact product page.
AWS Artifact now enables direct access to previous versions of AWS compliance reports, eliminating the need to contact AWS Support or account representatives. This self-service capability helps customers efficiently manage their compliance documentation requirements, particularly during audits and vendor assessments that require historical compliance evidence. To access previous report versions, you need the «artifact:ListReportVersions» IAM permission, which is included in the AWS managed policy «AWSArtifactReportsReadOnlyAccess». If you’re unable to view previous versions of reports in the AWS Artifact console, please contact your AWS account administrator to request this permission. Once authorized, you can access previous versions of compliance reports (such as SOC, ISO, and C5) directly through the AWS Artifact console. Simply navigate to the reports page and select any report to view its available versions. The availability of previous report versions varies by compliance program, with some reports offering versions from multiple prior years while others may have more limited historical coverage. This feature is now generally available in US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more about accessing previous versions of compliance reports, visit the AWS Artifact documentation. For general information about AWS Artifact, see the AWS Artifact product page.
We are announcing memory for chat agents in Amazon Quick Suite – a feature that allows users to get personalized responses based on their previous conversations. With this feature, Quick Suite remembers the preferences users specify in chat and generate responses that are tailored to them. Users can also view their inferred preferences and remove any memory they don’t want Quick chat agents to use.
Previously, chat users needed to repeat their preferences around response format, acronyms, dashboards, and integrations in every conversation. They also had to clarify ambiguous topics and entities in chat, increasing the tedious back and forth needed to get accurate and insightful responses. Memory addresses this pain point by remembering facts and details about users in a way that ensures responses provided to users continuously learn and improve. Users also control what Quick Suite remembers about them – all the memories are viewable and removable by users, and users have the choice to start chat in Private Mode in which conversations are not used to infer memories.
Memory in Quick Suite chat agents is available in US East (N. Virginia) and US West (Oregon). To learn more, visit the Amazon Quick Suite User Guide.
We are announcing memory for chat agents in Amazon Quick Suite – a feature that allows users to get personalized responses based on their previous conversations. With this feature, Quick Suite remembers the preferences users specify in chat and generate responses that are tailored to them. Users can also view their inferred preferences and remove any memory they don’t want Quick chat agents to use. Previously, chat users needed to repeat their preferences around response format, acronyms, dashboards, and integrations in every conversation. They also had to clarify ambiguous topics and entities in chat, increasing the tedious back and forth needed to get accurate and insightful responses. Memory addresses this pain point by remembering facts and details about users in a way that ensures responses provided to users continuously learn and improve. Users also control what Quick Suite remembers about them – all the memories are viewable and removable by users, and users have the choice to start chat in Private Mode in which conversations are not used to infer memories. Memory in Quick Suite chat agents is available in US East (N. Virginia) and US West (Oregon). To learn more, visit the Amazon Quick Suite User Guide.
Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances.
M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They 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.
Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances. M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They 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. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i-flex instance page or visit the AWS News blog.
Starting today, you can enable Amazon CloudWatch metrics for Route 53 to monitor the performance and health of Route 53 Resolver endpoints and any target name servers associated with your outbound Resolver endpoints.
Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). The new metrics can be enabled on CloudWatch for each of your Resolver endpoints allowing you to assess the response latency of DNS queries received by the Resolver endpoints, the number of query responses that resulted in SERVFAIL, NXDOMAIN, REFUSED, or FORMERR statuses. You can also view the availability of target name servers associated with outbound Resolver endpoints, by viewing the response latency of the target server, and the number of queries that resulted in a timeout. The new metrics make it easy for you to quickly evaluate the health of your Route 53 Resolver endpoints and the associated target name servers.
Starting today, you can enable Amazon CloudWatch metrics for Route 53 to monitor the performance and health of Route 53 Resolver endpoints and any target name servers associated with your outbound Resolver endpoints. Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). The new metrics can be enabled on CloudWatch for each of your Resolver endpoints allowing you to assess the response latency of DNS queries received by the Resolver endpoints, the number of query responses that resulted in SERVFAIL, NXDOMAIN, REFUSED, or FORMERR statuses. You can also view the availability of target name servers associated with outbound Resolver endpoints, by viewing the response latency of the target server, and the number of queries that resulted in a timeout. The new metrics make it easy for you to quickly evaluate the health of your Route 53 Resolver endpoints and the associated target name servers. To learn more about the metrics, read the documentation or visit the Route 53 VPC Resolver page. Standard CloudWatch and Resolver endpoint charges are applied for using the Route 53 Resolver endpoint detailed metrics. For more information, see Amazon CloudWatch pricing and Resolver endpoint pricing.
AWS Clean Rooms now publishes events to Amazon EventBridge for new member invitations and table readiness, delivering real-time insights and increasing transparency to collaboration members. Invited members to a collaboration now receive an EventBridge notification when invited to a Clean Rooms collaboration, making it easier for members to review new invitations and join collaborations. Collaboration members are also notified when AWS Entity Resolution resources are associated to a collaboration, such as ID mapping tables and ID namespaces, enabling you to automatically start analysis that uses related records across collaborators’ datasets. For example, when a publisher invites an advertiser to a collaboration, the publisher can automatically run their media planning analyses as soon as the advertiser has created their ID mapping table in the collaboration, reducing time-to-action from hours to minutes and increasing transparency between collaboration members.
With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. 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 or AWS Entity Resolution.
AWS Clean Rooms now publishes events to Amazon EventBridge for new member invitations and table readiness, delivering real-time insights and increasing transparency to collaboration members. Invited members to a collaboration now receive an EventBridge notification when invited to a Clean Rooms collaboration, making it easier for members to review new invitations and join collaborations. Collaboration members are also notified when AWS Entity Resolution resources are associated to a collaboration, such as ID mapping tables and ID namespaces, enabling you to automatically start analysis that uses related records across collaborators’ datasets. For example, when a publisher invites an advertiser to a collaboration, the publisher can automatically run their media planning analyses as soon as the advertiser has created their ID mapping table in the collaboration, reducing time-to-action from hours to minutes and increasing transparency between collaboration members. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. 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 or AWS Entity Resolution.
2025 – Un año en resumen – Accesibilidad de Windows
Por: Akheel Firoz – jefe de producto.
En el Día Internacional de las Personas con Discapacidad, reflexionamos sobre cómo evolucionan nuestros productos basándonos en los comentarios y las ideas de la comunidad de la discapacidad y queremos destacar algunos de los avances del último año.
Nada sobre nosotros, sin nosotros
El equipo de Accesibilidad de Windows sigue el principio rector de la comunidad de discapacidad: «nada sobre nosotros sin nosotros.» En el espíritu de poner a las personas en el centro del proceso de diseño guiadas por Microsoft Inclusive Design, trabajar y obtener conocimientos de nuestros consejos asesores para las comunidades ciegas, con movilidad y con discapacidad auditiva es fundamental para crear características significativas y efectivas que empoderen a cada usuario.
Fluid Dictation en Windows permite dictar con facilidad
Fluid Dictation, una función diseñada para hacer que la redacción de texto basada en voz sea fluida e intuitiva para todos, corrige de manera inteligente la gramática, la puntuación y la ortografía en tiempo real mientras hablan. Esto significa que sus palabras habladas se transforman al instante en texto pulido y preciso, lo que reduce la necesidad de correcciones manuales tediosas o comandos de voz complejos.
Además, Fluid Dictation puede aprovechar su vocabulario personalizado definido dentro de Voice Access, para que los términos y nombres especializados se reconozcan de manera correcta. Impulsada por IA en el dispositivo en PCs Copilot+ sin necesidad de conectarse a internet, esta capacidad puede aprovecharse tanto en aplicaciones de primera mano como en aplicaciones de terceros en Windows, ya sea que redacten correos electrónicos, tomen notas o colaboren en sus aplicaciones favoritas.
Con Fluid Dictation, queremos que se centren en sus ideas, y no en la mecánica de la introducción de texto, lo que minimiza errores y simplifica las correcciones al escribir con su voz. Para probarlo, activen Fluid Dictation (Dictado Fluido) en el menú de opciones de gestión de la configuración de Acceso a Voz e interactúen con cualquier superficie de edición de texto que prefieran. Aquí tienen una guía para ayudarles a empezar. Esta función también está disponible para Windows Insiders para la escritura por voz. Solo pulsen Windows + H y comiencen a utilizarlo.
Acceso por voz: Comprender mejor a todos
La entrada de voz es un espectro; la forma de comunicación de todos con la voz no es igual. Evolucionamos la manera en que Voice Access (Acceso por voz) los entiende para que su experiencia sea fluida.
Tiempo de espera antes de actuar: Cada uno habla a su propio ritmo y, con el ajuste de tiempo de espera antes de actuar, la gente puede configurar un retraso antes de ejecutar una orden. Esto proporciona mayor flexibilidad para personas con patrones de habla variados, lo que permite un reconocimiento más preciso tanto si hablan despacio como con rapidez. Para configurarlo, naveguen a la configuración de Acceso por voz > Tiempo de espera antes de actuar y elijan la opción que mejor se adapte a sus preferencias.
Diccionario de palabras personalizado: Hemos introducido la posibilidad de añadir sus propias palabras al diccionario en Voice Access. Añadir sus propias palabras, incluidas las difíciles de pronunciar, al diccionario de Voice Access ayudará a mejorar la precisión del dictado. Aumenta la probabilidad de reconocer estas palabras con mayor precisión. La función estará disponible en todos los idiomas de Acceso de Voz soportados en la actualidad. Añadan de manera manual una palabra en cualquier parte de su flujo de trabajo por medio del comando «Añadir al vocabulario» o directo desde la configuración de Acceso a Voz > Añadir al vocabulario.
Comandos flexibles y naturales: Hemos lanzado una ejecución de comandos más flexible y natural en Voice Access en PCs Copilot+. Voice Access ahora entiende múltiples variantes de un comando existente. Pueden decir:
«¿Puedes abrir la aplicación Edge?»
«Cambiar a Microsoft Edge»
«Por favor, abre el navegador Edge»
Y el Acceso por Voz reconocerá su intención y ejecutará la orden en consecuencia.
Mejora en el reconocimiento de patrones de voz: El acceso por voz ahora ofrece un reconocimiento mejorado de los patrones de habla, en especial los asociados con el Parkinson, lo que reduce errores y facilita el dictado y la navegación.
Soporte en chino y japonés: El acceso por voz ahora admite chino y japonés, para ampliar la accesibilidad para más usuarios. Ahora pueden navegar, dictar e interactuar con Windows por medio de comandos de voz en chino y japonés.
Voces más naturales y expresivas para el Narrador y la Lupa
Narrator (Narrador) y Magnifier (Lupa), en colaboración con Azure AI, ahora ofrecen la opción de usar voces humanas de última generación y encantadoras. Estas opciones de voz están diseñadas para sonar más humanas y así reducir la carga cognitiva al imitar las sutilezas de la conversación humana mediante pausas naturales, énfasis y tono emocional.
Para probar estas voces naturales, naveguen a las opciones de voz en la configuración de Narrador o Lupa, seleccionen la opción de voz HD, descarguen el modelo de voz y estarán listos para una lectura de pantalla más atractiva y una experiencia de lectura en voz alta.
Creación eficiente de documentos con Narrator y Word
Nos entusiasma compartir que crear y leer documentos en Microsoft Word ahora es más fluido e intuitivo para quienes usan Narrator (Narrador). Las actualizaciones recientes abordan sus valiosos comentarios y mejoran la experiencia general desde la redacción y revisión del texto hasta la navegación por listas, tablas y comentarios para que se mantengan centrados en su trabajo sin interrupciones.
Ahora les resultará más fácil leer y escribir con confianza. Narrador ofrece anuncios más naturales y simplificados al leer datos tabulares, notas al pie y cambios de formato. Interactuar con los comentarios ahora es más fácil y requiere menos pulsaciones de teclas. Pueden leer con eficiencia el texto de los comentarios y su contenido asociado sin perder su lugar en el documento.
La prueba también se ha vuelto más fluida. La retroalimentación ortográfica y gramatical se anuncia ahora de manera más clara y concisa, con ajustes automáticos de la velocidad de voz y atajos de teclado mejorados que hacen que corregir errores sea más rápido y menos disruptivo.
Por último, hemos mejorado de manera significativa la usabilidad de Copilot con Narrator, lo que asegura una experiencia más accesible al trabajar junto a la IA.
Foco en los fundamentos, impulsados por sus comentarios
Garantizar la consistencia y fiabilidad entre las tecnologías de asistencia en Windows es la base de nuestras experiencias. Damos prioridad a abordar cuestiones críticas y funcionales que se comparten a través de sus comentarios y nuestras colaboraciones con nuestros consejos asesores. A través de estos esfuerzos, nos aseguramos de que puedan seguir centrados en lo que es importante para ustedes, sin distracciones.
En Narrador, sus comentarios ha ayudado a dar forma a mejoras como:
Cortina de pantalla: Al activarse, la pantalla se oscurece por completo para mejorar la privacidad y el enfoque, lo que asegura que solo el usuario escuche lo que aparece en pantalla a través del Narrador. Pulsen Mayúsculas + Ctrl + C cuando el Narrador está en marcha para activar la Cortina de Pantalla.
Descripciones de imágenes más completas: En PCs Copilot+, Narrador utiliza la IA para ofrecer descripciones detalladas y detalladas de imágenes, gráficos y diagramas. Pulsen la tecla Narrador + Ctrl + D para obtener una descripción contextual de la imagen, para detallar personas, objetos, colores, texto y números de la imagen.
Resumen del discurso y transcripción en directo: ¿Necesitan guardar, compartir o revisar lo que dijo el narrador al final? Pueden pulsar la tecla Narrador + Alt + X para abrir Speech Recap y ver las últimas 500 cadenas habladas. Si son formadores en Tecnología de Asistencia (AT, por sus siglas en inglés), profesores de estudiantes con discapacidad visual (TSVI, por sus siglas en inglés) que apoya a los estudiantes en clase o para profesionales con discapacidad auditiva que quieren usar Narrador, pueden acceder con rapidez al contenido hablado, seguir la transcripción en tiempo real y copiar lo que el Narrador dijo al último, todo con simples atajos de teclado.
Únanse a nosotros en este recorrido
Gracias a todos nuestros clientes de Windows por probar estas nuevas funciones, ofrecer sus comentarios y ayudarnos a crear mejores experiencias para todos, en especial para quienes prueban nuestras versiones de Windows Insider para dar su opinión antes en el proceso de lanzamiento. La coherencia y fiabilidad entre las tecnologías de asistencia en Windows es la base de la experiencia. Seguiremos con la priorización de las cuestiones críticas y funcionales que se compartan a través de sus comentarios y nuestras colaboraciones con nuestros consejos asesores.
Aún queda mucho por venir, así que únanse a nosotros en este recorrido mientras prueban Windows 11 y comparten sus valiosos comentarios. Solo tienen que pulsar la tecla del logo de Windows + F para abrir el centro de Feedback y compartir lo que les gusta, no les gusta o tan solo desearían que el producto pudiera hacer.
Si son clientes con discapacidad y necesitan asistencia técnica con Windows u otro producto de Microsoft, por favor contacten con el Disability Answer Desk por teléfono, chat o Lengua de Signos Americana (por videoteléfono).
Resumen del año
Tecnología de Asistencia
Descripción
Enlaces
Acceso por voz y escritura por voz
Dictado impulsado por IA que limpia su voz en automático en Acceso de Voz y Escritura por Voz, comandos conversacionales que «tan solo funcionan», vocabulario personalizado, sincronización de comandos ajustable, control de palabrotas y soporte ampliado para chino y japonés.
Consigan descripciones de imágenes más completas, lecturas de palabras más fluidas, herramientas de privacidad como Screen Curtain, Speech Recap para una revisión rápida, y un nuevo visor Braille y voces HD que suenan naturales, expresivas y fáciles de seguir.
Starting today, customers can use Amazon Managed Service for Apache Flink in Asia Pacific (Auckland) Region to build real-time stream processing applications.
Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Managed Service for Apache Flink reduces the complexity of building and managing Apache Flink applications and integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon OpenSearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors.
You can learn more about Amazon Managed Service for Apache Flink here. For Amazon Managed Service for Apache Flink region availability, refer to the AWS Region Table.
Starting today, customers can use Amazon Managed Service for Apache Flink in Asia Pacific (Auckland) Region to build real-time stream processing applications. Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Managed Service for Apache Flink reduces the complexity of building and managing Apache Flink applications and integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon OpenSearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors. You can learn more about Amazon Managed Service for Apache Flink here. For Amazon Managed Service for Apache Flink region availability, refer to the AWS Region Table.
