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AWS Directory Service launches Hybrid Edition for Managed Microsoft AD

Starting today, AWS Directory Service for Microsoft Active Directory customers can extend their existing Active Directory domain into AWS with the new Hybrid Edition for AWS Managed Microsoft AD. This new capability provides customers with a managed service for their AD infrastructure extended in AWS, enabling a unified Active Directory deployment between on-premises, AWS Cloud and multi-cloud environments.

Hybrid Edition automatically handles replication and maintenance between your AD environments and AWS. This provides you a simpler way to migrate AD-dependent workloads to the cloud while maintaining your existing AD data. The service preserves all your existing access controls and group policies without requiring permission reconfiguration.

With this new capability, you can easily integrate with AWS services including  Amazon EC2Amazon FSx for Windows File Server and Amazon Relational Database Service (RDS) across multiple AWS accounts. The managed approach significantly reduces operational overhead and allows your team to focus on business priorities while AWS handles the AD infrastructure maintenance. You can also securely share administrator credentials for Hybrid Edition using AWS Secrets Manager, ensuring no human visible credentials.

For information on regional availability of the AWS Directory Service Hybrid Edition for AWS Managed Microsoft AD, please refer to the AWS Directory Service documentation, which will be updated with the latest availability information.

To learn more about how Hybrid Edition can benefit your organization, review Extend your Active Directory domain to AWS with AWS Managed Microsoft AD (Hybrid Edition) blog post or the AWS Directory Service documentation. You can start using Hybrid Edition for AWS Managed Microsoft AD in the AWS Management Console, through the AWS CLI, or via AWS SDKs.

 

​Starting today, AWS Directory Service for Microsoft Active Directory customers can extend their existing Active Directory domain into AWS with the new Hybrid Edition for AWS Managed Microsoft AD. This new capability provides customers with a managed service for their AD infrastructure extended in AWS, enabling a unified Active Directory deployment between on-premises, AWS Cloud and multi-cloud environments.
Hybrid Edition automatically handles replication and maintenance between your AD environments and AWS. This provides you a simpler way to migrate AD-dependent workloads to the cloud while maintaining your existing AD data. The service preserves all your existing access controls and group policies without requiring permission reconfiguration.
With this new capability, you can easily integrate with AWS services including  Amazon EC2,  Amazon FSx for Windows File Server and Amazon Relational Database Service (RDS) across multiple AWS accounts. The managed approach significantly reduces operational overhead and allows your team to focus on business priorities while AWS handles the AD infrastructure maintenance. You can also securely share administrator credentials for Hybrid Edition using AWS Secrets Manager, ensuring no human visible credentials.
For information on regional availability of the AWS Directory Service Hybrid Edition for AWS Managed Microsoft AD, please refer to the AWS Directory Service documentation, which will be updated with the latest availability information.
To learn more about how Hybrid Edition can benefit your organization, review Extend your Active Directory domain to AWS with AWS Managed Microsoft AD (Hybrid Edition) blog post or the AWS Directory Service documentation. You can start using Hybrid Edition for AWS Managed Microsoft AD in the AWS Management Console, through the AWS CLI, or via AWS SDKs.  

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Amazon CloudWatch launches natural language query generation for OpenSearch PPL and SQL

Amazon CloudWatch launches natural language query generation powered by generative AI for OpenSearch PPL and SQL query languages in CloudWatch Logs Insights, accelerating logs analysis.

CloudWatch Logs Insights enables you to interactively search and analyze your logs with Logs Insights query language, OpenSearch Service Piped Processing Language (PPL), and OpenSearch Service Structured Query Language (SQL).

Customers using OpenSearch PPL and OpenSearch SQL can now use plain English to quickly generate queries in the context of their logs without needing extensive knowledge of the query language, reducing time to gather insights. For example, you can ask in plain English “Give me the number of errors and exceptions per hour” or “What are the top 100 source IP addresses by bytes transferred” and the queries will be automatically generated in OpenSearch PPL or SQL, depending on the language selected.

The query generator is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm). To learn more, view documentation.

 

​Amazon CloudWatch launches natural language query generation powered by generative AI for OpenSearch PPL and SQL query languages in CloudWatch Logs Insights, accelerating logs analysis. CloudWatch Logs Insights enables you to interactively search and analyze your logs with Logs Insights query language, OpenSearch Service Piped Processing Language (PPL), and OpenSearch Service Structured Query Language (SQL). Customers using OpenSearch PPL and OpenSearch SQL can now use plain English to quickly generate queries in the context of their logs without needing extensive knowledge of the query language, reducing time to gather insights. For example, you can ask in plain English “Give me the number of errors and exceptions per hour” or “What are the top 100 source IP addresses by bytes transferred” and the queries will be automatically generated in OpenSearch PPL or SQL, depending on the language selected. The query generator is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm). To learn more, view documentation.  

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Amazon SES introduces tenant isolation with automated reputation policies

Today, Amazon Simple Email Service (SES) announces the ability to provision isolated tenants within a single SES account and apply automated reputation policies to manage email sending. With this enhancement, customers can create multiple tenants in their SES account, each with dedicated configuration sets, identities, and templates. This new feature helps customers detect and isolate deliverability issues within isolated email streams, preserving sender reputation and helping improve inbox placement with mailbox providers.

When customers specify a tenant while sending an email, SES now provides tenant-level metrics including messages sent, bounce rates, and complaint rates in real-time. If reputation issues are detected, SES can automatically pause the affected tenant to protect other email streams. Customers can control this automation with three reputation policy options: Standard (recommended) which pauses sending for high-impact findings, Strict which pauses for any reputation finding, or None for manual monitoring. SES publishes notifications to Amazon EventBridge when tenant status changes occur or new reputation findings are detected, enabling integration with existing monitoring workflows.

These new capabilities are now available in all AWS Regions where Amazon SES is offered.

To learn more about working with tenants in Amazon SES, visit the Amazon SES console or refer to the documentation for detailed instructions on creating tenants, configuring reputation policies, and monitoring tenant-level metrics.

 

​Today, Amazon Simple Email Service (SES) announces the ability to provision isolated tenants within a single SES account and apply automated reputation policies to manage email sending. With this enhancement, customers can create multiple tenants in their SES account, each with dedicated configuration sets, identities, and templates. This new feature helps customers detect and isolate deliverability issues within isolated email streams, preserving sender reputation and helping improve inbox placement with mailbox providers. When customers specify a tenant while sending an email, SES now provides tenant-level metrics including messages sent, bounce rates, and complaint rates in real-time. If reputation issues are detected, SES can automatically pause the affected tenant to protect other email streams. Customers can control this automation with three reputation policy options: Standard (recommended) which pauses sending for high-impact findings, Strict which pauses for any reputation finding, or None for manual monitoring. SES publishes notifications to Amazon EventBridge when tenant status changes occur or new reputation findings are detected, enabling integration with existing monitoring workflows. These new capabilities are now available in all AWS Regions where Amazon SES is offered. To learn more about working with tenants in Amazon SES, visit the Amazon SES console or refer to the documentation for detailed instructions on creating tenants, configuring reputation policies, and monitoring tenant-level metrics.  

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Amazon RDS for MySQL now supports new minor versions 8.0.43 and 8.4.6

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.43 and 8.4.6, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.43 and 8.4.6 in the Amazon RDS user guide.

You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide.

Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.

 

​Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.43 and 8.4.6, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.43 and 8.4.6 in the Amazon RDS user guide. You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.  

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Amazon S3 Access Points now support tags for Attribute-Based Access Control

Amazon S3 Access Points now support tags for Attribute-Based Access Control (ABAC). S3 Access Points simplify managing data access to your shared datasets in S3 general purpose and directory buckets. With ABAC support, you can add tags to your access points and extend your tag-based permissions to new and existing users, roles, and access points. This helps eliminate frequent AWS Identity and Access Management (IAM), S3 bucket, or access point policy updates, simplifying how you scale access governance on your shared datasets.

To get started with tagging your S3 Access Points, use the AWS Management Console, S3 REST API, AWS CLI, or the AWS SDK. ABAC support for S3 Access Points is available in all AWS Regions at no additional cost. To learn more about using tags for access points, visit the S3 User Guide.

 

​Amazon S3 Access Points now support tags for Attribute-Based Access Control (ABAC). S3 Access Points simplify managing data access to your shared datasets in S3 general purpose and directory buckets. With ABAC support, you can add tags to your access points and extend your tag-based permissions to new and existing users, roles, and access points. This helps eliminate frequent AWS Identity and Access Management (IAM), S3 bucket, or access point policy updates, simplifying how you scale access governance on your shared datasets. To get started with tagging your S3 Access Points, use the AWS Management Console, S3 REST API, AWS CLI, or the AWS SDK. ABAC support for S3 Access Points is available in all AWS Regions at no additional cost. To learn more about using tags for access points, visit the S3 User Guide.  

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Amazon Kinesis Video Streams expands coverage to three new AWS Regions

Amazon Kinesis Video Streams (Amazon KVS) is now available in Europe (Spain), Asia Pacific (Malaysia), Middle East (Bahrain) regions. Amazon KVS is a fully managed AWS service that enables you to securely stream, process, and store video and time-encoded data from connected devices. With the region expansion update, organizations operating in these regions can benefit from faster response times, stronger data residency controls, and reduced data transfer expenses.

Amazon KVS automatically provisions and elastically scales the infrastructure needed to ingest streaming video from millions of devices. Using Amazon KVS, you can store, encrypt, and index video data and access their data streams through easy-to-use APIs. Amazon KVS also enables you to quickly build applications for live and on-demand viewing, and take advantage of computer vision and video analytics through integration with other AWS services, including Amazon Rekognition Video and Amazon SageMaker. Moreover, Amazon KVS WebRTC offers fully-managed capabilities to support interactive and real-time peer-to-peer media streaming between web browsers, mobile applications, and connected devices.

To learn more, please visit the Amazon Kinesis Video Streams product page and the AWS Region services list for complete regional availability information. 

 

​Amazon Kinesis Video Streams (Amazon KVS) is now available in Europe (Spain), Asia Pacific (Malaysia), Middle East (Bahrain) regions. Amazon KVS is a fully managed AWS service that enables you to securely stream, process, and store video and time-encoded data from connected devices. With the region expansion update, organizations operating in these regions can benefit from faster response times, stronger data residency controls, and reduced data transfer expenses. Amazon KVS automatically provisions and elastically scales the infrastructure needed to ingest streaming video from millions of devices. Using Amazon KVS, you can store, encrypt, and index video data and access their data streams through easy-to-use APIs. Amazon KVS also enables you to quickly build applications for live and on-demand viewing, and take advantage of computer vision and video analytics through integration with other AWS services, including Amazon Rekognition Video and Amazon SageMaker. Moreover, Amazon KVS WebRTC offers fully-managed capabilities to support interactive and real-time peer-to-peer media streaming between web browsers, mobile applications, and connected devices. To learn more, please visit the Amazon Kinesis Video Streams product page and the AWS Region services list for complete regional availability information.   

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IA en el trabajo: busquen empleados que sobresalgan en estas habilidades básicas

agosto 1, 2025

IA en el trabajo: busquen empleados que sobresalgan en estas habilidades básicas

Las carreras preparadas para el futuro ya no se basan en lo que las personas saben, sino en cómo aprenden a pensar, aprender y adaptarse.

Diagrama de Venn con las habilidades clave: pensar, aprender, adaptarse

Por Jared Spataro, CMO de IA en el trabajo de Microsoft.

Mi equipo se asoció de manera reciente con NYU Stern en un proyecto que desafió a los estudiantes de MBA a diseñar Empresas Frontera, con IA en su núcleo operativo. Al ver las presentaciones finales, me impresionó lo bien que los estudiantes usaron la IA para ayudar a escribir código, elaborar estrategias de marketing y modelar escenarios financieros, incluso cuando carecían de experiencia profunda o antecedentes formales en esas áreas. 

Entonces la idea me llegó: veía el trabajo de los «Empleados Frontera», el nuevo y necesario talento para la era de la IA, cuyos roles no se definen por lo que ya saben, sino por su capacidad para crecer y poner en práctica nuevas habilidades. Les dimos acceso a las últimas capacidades de IA y agentes con Copilot, lo que les permitió realizar un trabajo que antes habría requerido décadas de experiencia y conocimientos. Pero las herramientas por sí solas no explican su éxito. Para aprovechar la IA para lograr lo que antes era imposible, demostraron tres habilidades clave: aprendieron a pensar, aprendieron a aprender y aprendieron a adaptarse.

Creo que estas serán las habilidades definitorias del Empleado Frontera, y animo a mis propios cuatro hijos, que van desde los años universitarios hasta los primeros años de su carrera, a que también las desarrollen.

Aprendan a pensar

Existe la idea errónea de que el pensamiento humano se devaluará en el futuro impulsado por la IA. De hecho, cuando la IA es abundante y las empresas pueden acceder a la inteligencia disponible, el pensamiento humano se vuelve más esencial, no menos.  

En la era de la IA, los humanos deberán demostrar fuertes habilidades de pensamiento crítico de dos maneras distintas e igual de importantes. Primero, se convierten en los estrategas de la IA: los Empleados Frontera seleccionan, critican y refinan los resultados de la IA para garantizar la precisión y la alineación con los objetivos comerciales. Si bien pueden delegar el trabajo de bajo impacto y bajo riesgo a la IA, para proyectos más significativos, deben tratar a la IA como un socio de pensamiento en lugar de un dispensador de pensamiento.

En segundo lugar, se convierten en maestros de la IA. Su pensamiento ayuda a mejorar la IA, porque las entradas inteligentes de las personas producen datos ricos que impulsan el crecimiento y la eficacia de la tecnología. Sin esta aportación humana continua, la IA corre el riesgo de estancarse o incluso de declinar.

En Stern, los estudiantes concibieron Empresas Frontera en campos que van desde la investigación biomédica hasta la gestión de proyectos fintech. Al final, todos los estudiantes habían desarrollado un hábito poderoso: antes de aceptar una respuesta generada por IA, preguntaron: «¿Qué podría faltar o estar mal en esta respuesta?» antes de seguir adelante. Esa pausa, ese momento de escepticismo, es donde vive el pensamiento crítico.

Aprendan a aprender

En un mundo donde la IA está en constante evolución y cambio de roles laborales, la capacidad de un Empleado Frontera para adquirir de manera continua nuevas habilidades, es más importante que dominar una sola herramienta o técnica. Tomar cursos por sí solos no los llevará allí. Se trata de cultivar una mentalidad de curiosidad, experimentación y resiliencia, y luego traducir esa mentalidad en rendimiento. Los líderes y empleados exitosos seguirán el ritmo de la evolución de la IA y comprenderán cuándo desaprender o dejar de lado el conocimiento obsoleto. 

La mayoría de los estudiantes de MBA no comenzaron el proyecto como expertos en IA. Pero aumentaron sus habilidades de manera rápida. En solo unas pocas semanas, construían conjuntos completos de agentes: compañeros de equipo digitales que podían realizar estudios de mercado, analizar finanzas o incluso simular conversaciones con ejecutivos de alto nivel para probar decisiones de presión.

En un caso, un estudiante sin experiencia en marketing se convirtió en el CMO de su startup. Trabajó con Copilot para crear un plan de marketing de extremo a extremo, completo con mensajes, diseño web y una paleta de marcas, lo que mostró cómo la IA puede democratizar la experiencia. «Desaprender» la idea de que su educación o antecedentes los limitan, definen o califican de manera única para un puesto presenta un desafío existencial para muchos. Pero aquellos que lo adopten descubrirán oportunidades profesionales casi ilimitadas.

Aprendan a adaptarse

He pasado la mayor parte de mi carrera en trabajar en el software de productividad de Microsoft, y solíamos lanzar una nueva versión cada pocos años. Ahora, lanzamos nuevas capacidades de IA cada pocas semanas. Pero no es solo el ritmo del cambio lo que se está acelera. Por su propia naturaleza, la IA está en continua evolución, y para los Empleados Frontera eso significa operar en un entorno que requiere una adaptación continua.

A medida que los estudiantes de Stern imaginaban nuevas empresas desde cero, los instamos a romper con los flujos de trabajo familiares e imaginar patrones de colaboración nuevos. A nivel histórico, todo el trabajo se realizaba solo o con otros humanos. En las Empresas Frontera, trabajas con agentes y los administras. Esa es una adaptación radical que planteó grandes preguntas: ¿Qué tareas aún requieren juicio humano? ¿Dónde pueden los agentes tomar la iniciativa? Y en un equipo de humanos y agentes, ¿cómo evoluciona la toma de decisiones?

Los estudiantes ingresaron al programa de MBA hace un año, cuando la idea de una Empresa Frontera apenas había despegado. Para cuando dieron sus presentaciones finales, esa idea había cobrado un impulso real y transformaba con rapidez la forma en que las nuevas empresas toman forma. Al diseñar Empresas Frontera desde cero, con la IA como punto de partida fundamental para reimaginar los negocios, estos estudiantes tuvieron que dejar de lado las suposiciones con las que llegaron y adaptarse a las nuevas realidades en tiempo real.

Su éxito nos muestra algo importante sobre el futuro del trabajo: las personas que prosperan tendrán sólidas habilidades de pensamiento como base, la capacidad de seguir con el aprendizaje y la apertura para ajustar el rumbo, de manera constante. Estas son habilidades muy humanas que siempre han importado, y siempre lo harán.

Para obtener más información sobre la IA y el futuro del trabajo, suscríbanse a este boletín.

The post IA en el trabajo: busquen empleados que sobresalgan en estas habilidades básicas appeared first on Source LATAM.

 

​The post IA en el trabajo: busquen empleados que sobresalgan en estas habilidades básicas appeared first on Source LATAM.  

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Amazon EC2 now supports force terminate for EC2 instances

Starting today, Amazon EC2 customers can now force terminate instances that are stuck in the shutting-down state. EC2 Instances can get stuck in the shutting down state because of rare issues caused by frozen operating system or underlying hardware problems. When customers use force terminate, the instance will first attempt a graceful shutdown process. If unsuccessful within the timeout period, the instance proceeds with a forced shutdown. A forced shutdown may not flush the file system caches and metadata or run shutdown scripts before instance termination. Force terminate allows customers to recover resources associated with stuck instances such as vCPU Quotas or Elastic IP addresses without waiting for AWS intervention, providing greater flexibility in managing EC2 instances.

 

​Starting today, Amazon EC2 customers can now force terminate instances that are stuck in the shutting-down state. EC2 Instances can get stuck in the shutting down state because of rare issues caused by frozen operating system or underlying hardware problems. When customers use force terminate, the instance will first attempt a graceful shutdown process. If unsuccessful within the timeout period, the instance proceeds with a forced shutdown. A forced shutdown may not flush the file system caches and metadata or run shutdown scripts before instance termination. Force terminate allows customers to recover resources associated with stuck instances such as vCPU Quotas or Elastic IP addresses without waiting for AWS intervention, providing greater flexibility in managing EC2 instances.  

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Amazon SNS standard topics now support Amazon SQS fair queues

Amazon Simple Notification Service (Amazon SNS) now supports message group IDs in standard topics, enabling fair queue functionality for all subscribed Amazon SQS standard queues. This feature allows you to mitigate noisy neighbor impact in all multi-tenant standard queues subscribed to a SNS standard topic by ensuring that high-volume or slow-processing messages from one tenant don’t delay messages from other tenants.

When you include a message group ID in messages sent to your Amazon SNS standard topic, the topic automatically forwards these IDs to all subscribed Amazon SQS standard queues, activating fair queue behavior across those queues. This capability is particularly valuable for SaaS applications that use Amazon SNS to distribute messages to multiple processing queues, event-driven architectures serving multiple customers, and microservices that need to maintain quality of service across different request types.

This feature is now available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about using message group IDs with Amazon SNS, see the Amazon SNS Developer Guide. For more information about Amazon SQS fair queues, read our blog post.

 

​Amazon Simple Notification Service (Amazon SNS) now supports message group IDs in standard topics, enabling fair queue functionality for all subscribed Amazon SQS standard queues. This feature allows you to mitigate noisy neighbor impact in all multi-tenant standard queues subscribed to a SNS standard topic by ensuring that high-volume or slow-processing messages from one tenant don’t delay messages from other tenants. When you include a message group ID in messages sent to your Amazon SNS standard topic, the topic automatically forwards these IDs to all subscribed Amazon SQS standard queues, activating fair queue behavior across those queues. This capability is particularly valuable for SaaS applications that use Amazon SNS to distribute messages to multiple processing queues, event-driven architectures serving multiple customers, and microservices that need to maintain quality of service across different request types. This feature is now available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about using message group IDs with Amazon SNS, see the Amazon SNS Developer Guide. For more information about Amazon SQS fair queues, read our blog post.  

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Amazon Q Developer expands multi-language support

Today, Amazon Q Developer announced expanded multi-language support in AWS Management Console, AWS Console Mobile application and Q Developer in Microsoft Teams and Slack chat applications. Among the many supported languages are French, German, Italian, Japanese, Korean, Mandarin, Spanish, and Portuguese.

To get started, simply start a conversation with Q Developer using your preferred language. Q Developer will automatically detect the language and provide answers in the appropriate language, enabling global teams to learn, monitor, operate, and troubleshoot AWS resources faster and in a more accessible way.

This update is available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer.

 

​Today, Amazon Q Developer announced expanded multi-language support in AWS Management Console, AWS Console Mobile application and Q Developer in Microsoft Teams and Slack chat applications. Among the many supported languages are French, German, Italian, Japanese, Korean, Mandarin, Spanish, and Portuguese. To get started, simply start a conversation with Q Developer using your preferred language. Q Developer will automatically detect the language and provide answers in the appropriate language, enabling global teams to learn, monitor, operate, and troubleshoot AWS resources faster and in a more accessible way. This update is available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer.