AWS Transfer Family introduces a Terraform module for deploying managed file transfer (MFT) server endpoints backed by Amazon S3. This enables you to leverage Infrastructure as Code (IaC) to automate and streamline centralized provisioning of MFT servers and users at scale.

AWS Transfer Family provides fully-managed file transfers over SFTP, AS2, FTPS, FTP, and web browser-based interfaces directly into and out of AWS storage services. Using the Terraform module, you can programmatically provision your Transfer Family server endpoints, associated dependencies and customizations in a single deployment. This eliminates time-consuming manual configurations and ensures you maintain consistent, secure implementations that can rapidly scale across departments. The new module provides end-to-end examples to create an SFTP endpoint, integrate with AWS CloudWatch for logging and monitoring, manage user identities for endpoint access, and configure IAM roles for access to S3 buckets where files are stored.

Customers can get started by downloading the Terraform module source code on GitHub. To learn more about Transfer Family, visit the product page and user-guide. To see all the regions where Transfer Family is available, visit the AWS Region table.
 

​AWS Transfer Family introduces a Terraform module for deploying managed file transfer (MFT) server endpoints backed by Amazon S3. This enables you to leverage Infrastructure as Code (IaC) to automate and streamline centralized provisioning of MFT servers and users at scale. AWS Transfer Family provides fully-managed file transfers over SFTP, AS2, FTPS, FTP, and web browser-based interfaces directly into and out of AWS storage services. Using the Terraform module, you can programmatically provision your Transfer Family server endpoints, associated dependencies and customizations in a single deployment. This eliminates time-consuming manual configurations and ensures you maintain consistent, secure implementations that can rapidly scale across departments. The new module provides end-to-end examples to create an SFTP endpoint, integrate with AWS CloudWatch for logging and monitoring, manage user identities for endpoint access, and configure IAM roles for access to S3 buckets where files are stored. Customers can get started by downloading the Terraform module source code on GitHub. To learn more about Transfer Family, visit the product page and user-guide. To see all the regions where Transfer Family is available, visit the AWS Region table.    

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in Europe (London) and Asia Pacific (Hyderabad, Osaka) Regions.

R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud.

To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in Europe (London) and Asia Pacific (Hyderabad, Osaka) Regions. R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud. To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.  

• Categoría: Noticias de Microsoft

abril 22, 2025

6 maneras de crear experiencias memorables del Día de la Tierra para los estudiantes

Por: equipo de Microsoft Educación.

Con la celebración del Día de la Tierra el 22 de abril de 2025, muchas aulas de todo el mundo destacarán la sostenibilidad, la conciencia ambiental y la importancia de cuidar nuestro planeta. Cada año, el Día de la Tierra es una oportunidad para involucrar a los estudiantes en discusiones significativas y actividades prácticas que inspiran la acción en el mundo real. Incorporen actividades interactivas del Día de la Tierra de Microsoft Education en sus planes de clase para ayudar a despertar la curiosidad, la creatividad y el compromiso con la protección de nuestro planeta.

Desde desafíos de codificación hasta experiencias educativas inmersivas de Minecraft, hay muchas maneras de dar vida a los temas del Día de la Tierra mientras se ayuda a los estudiantes a desarrollar habilidades esenciales. Descubran seis recursos listos para el aula que los ayudarán a celebrar el Día de la Tierra 2025 y tener un impacto duradero en sus estudiantes.

1. Sumérjanse en los datos para proteger la Tierra con Data Explorers

Data Explorers es un mundo educativo de Minecraft lleno de acción  que tiene como objetivo desarrollar habilidades de ciencia de datos y sostenibilidad, creado por ReWrite Edu en colaboración con NetApp y World’s Largest Lesson. Este juego de estilo «elige tu próximo camino» lleva a los estudiantes a través de cinco ecosistemas diferentes en busca de científicos que los ayuden a usar los datos para resolver problemas ambientales específicos. En el camino, los estudiantes pueden perfeccionar sus habilidades de recopilación y análisis de datos, así como ver cómo los científicos aplican los datos a problemas del mundo real.

De un vistazo:

• Diseñado para estudiantes de 11 a 14 años
• Centrado en las habilidades de recopilación y análisis de datos
• Incluye una guía para educadores para una fácil implementación

Descubran Data Explorers

2. Participen en aventuras animales con Planet Earth III Worlds

Esta hermosa colección de lecciones es la tercera entrega de la serie de mundos de Minecraft Education y BBC Earth, inspirada en la innovadora serie de la Unidad de Historia Natural de BBC Studios. Los estudiantes se adentrarán en los maravillosos reinos del mundo natural para experimentar las luchas y los triunfos de la supervivencia mientras juegan como una serie de criaturas increíbles, como el gran tiburón blanco, el lobo ártico, el buey almizclero y más. Explorarán la forma en que las vidas de estos animales se entrelazan al jugar como depredador y presa, padre e hijo, amigo y aliado, y descubrirán el precario equilibrio de la supervivencia.

De un vistazo:

• Diseñado para estudiantes de 8 a 13 años
• Exploren los desafíos y las victorias de la supervivencia
• Experimenten hermosas imágenes inspiradas en la Unidad de Historia Natural de BBC Studios

Exploren los mundos de Planet Earth III

3. Creen juegos de temática ecológica con MakeCode Arcade

Microsoft MakeCode es una plataforma gratuita en línea para aprender a programar donde los estudiantes pueden crear juegos, codificar dispositivos y modificar Minecraft. Apoyen las habilidades de programación de sus estudiantes con MakeCode Arcade para crear y modificar con rapidez juegos de arcade retro con bloques y JavaScript en el editor de MakeCode.

Este Día de la Tierra, echen un vistazo a estas experiencias ecológicas de MakeCode Arcade:

• Save the Forest – Involucren a los estudiantes en un desafío de codificación interactivo en el que ayuden a controlar los incendios forestales. Por medio de codificación basada en bloques, los estudiantes programan un avión cisterna y configuran la tecnología para apoyar a un equipo de tierra que trabaja para proteger el bosque.
• Happy Flower – Enseñen a los estudiantes sobre la relación entre las flores y los polinizadores a través de codificar una flor digital que envía a las abejas de regreso a la colmena. Esta actividad introduce conceptos básicos de programación al tiempo que refuerza las conexiones científicas clave.
• Shark Splash: lleven a los estudiantes a una aventura submarina en la que codifican a un tiburón que navega por las profundidades del mar en busca de comida. Este mapa de habilidades combina el diseño de juegos y la informática con la ecología marina.

Empiecen a codificar con MakeCode Arcade

4. Fomenten un futuro sostenible con FarmBeats para estudiantes

Empoderen a los estudiantes para explorar cómo la tecnología puede impulsar la sostenibilidad con FarmBeats for Students. Este programa práctico lleva la agricultura de precisión a las aulas, al involucrar a los alumnos en aplicaciones del mundo real de sensores digitales, análisis de datos e IA. A través de actividades interactivas, los estudiantes recopilan y analizan datos ambientales, crean modelos de aprendizaje automático y descubren cómo la IA puede ayudar a optimizar las prácticas agrícolas, para apoyar un futuro en el que podamos alimentar a una población en crecimiento mientras preservamos los recursos de nuestro planeta.

De un vistazo:

• Combinen un asequible kit de hardware basado en micro:bit con un plan de estudios gratuito y seleccionado
• Presenten actividades interactivas que involucran a los estudiantes en aplicaciones del mundo real de la IA
• Se centra en la sostenibilidad en la agricultura y la gestión ambiental

Introducción a FarmBeats para estudiantes

5. Mejoren las habilidades de alfabetización con las tareas de lectura del Día de la Tierra

Utilicen el Progreso de la Lectura (Reading Progress) para combinar a la perfección los temas del Día de la Tierra en sus lecciones de lectura mientras apoyan el crecimiento de la alfabetización de cada estudiante. Con la generación de pasajes impulsada por IA, pueden crear pasajes de lectura personalizados sobre temas ambientales con solo unos pocos clics. Tan solo elijan el tema, el nivel de edad, la duración y el idioma, y ajusten la complejidad según sea necesario para satisfacer a sus estudiantes donde están y profundizar su compromiso con el Día de la Tierra.

También pueden utilizar preguntas de comprensión generadas por IA basadas en el pasaje. Especifiquen cuántas preguntas desean, revisen las preguntas antes de asignarlas y adáptenlas con facilidad para que se ajusten a los objetivos de aprendizaje de sus estudiantes.

De un vistazo:

• Generen de manera rápida pasajes de lectura con temática del Día de la Tierra con la generación de pasajes impulsada por IA
• Personalicen los pasajes de lectura en función de los patrones fonéticos o las palabras que los estudiantes encuentran desafiantes
• Utilicen preguntas de comprensión generadas por IA para comprobar la comprensión

Más información sobre Reading Progress

6. Diseñen, actualicen y personalicen los planes de lecciones del Día de la Tierra

Den rienda suelta a su creatividad y ahorren tiempo con Microsoft 365 Copilot Chat. Ya sea que busquen planear una lección del Día de la Tierra, generar contenido atractivo o crear imágenes para dar vida a su enseñanza, Copilot Chat puede ayudarlos, de forma gratuita.

Prueben Copilot Chat hoy mismo

¿Necesitan ideas frescas de actividades o materiales de clase listos para usar? ¡Pregunten a Copilot Chat! Prueben estos prompts para mejorar sus lecciones del Día de la Tierra:

• Elabora un plan de lección detallado sobre prácticas agrícolas sostenibles para [nivel de grado]. La lección debe resaltar conceptos como la rotación de cultivos, la agricultura orgánica, la conservación del suelo y la gestión del agua, con ejemplos del mundo real y explicaciones amigables para los estudiantes.
• Genera una lista de preguntas de discusión abiertas que inviten a la reflexión para una lección del Día de la Tierra [nivel de grado].  Asegúrate de que las preguntas fomenten el pensamiento crítico, la responsabilidad personal y las diversas perspectivas. Deben diseñarse para iniciar conversaciones significativas sobre [tema] y conectar el pensamiento de los estudiantes con su papel en la protección del planeta.
• Haz una lista de una variedad de actividades ecológicas atractivas y prácticas para que una clase de [nivel de grado] haga para el Día de la Tierra. Incluye opciones de interior y exterior con una breve descripción, los materiales necesarios, el tiempo estimado y cómo se conecta con [un tema específico como la conciencia ambiental, la sostenibilidad o la acción climática].

Exploren el módulo de aprendizaje Copilot Chat en Microsoft Learn para descubrir formas prácticas de usarlo en su flujo de trabajo diario.

Iniciar el módulo de aprendizaje

Celebren el Día de la Tierra 2025 al dar vida a la sostenibilidad en su aula. Estos recursos listos para usar están diseñados para ayudarlos a involucrar a los estudiantes y generar conversaciones significativas sobre el futuro de nuestro planeta. Empoderen a sus estudiantes para que tomen medidas para un futuro más verde, una lección atractiva e interactiva a la vez.

Etiquetas:

• Educación
• Tecnología

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Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in the AWS GovCloud (US-West), Canada (Central), and Europe (London) Regions.

These Graviton3-based instances with DDR5 memory are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud.

To learn more, see Amazon C7gd Instances. To get started, see the AWS Management Console.
 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in the AWS GovCloud (US-West), Canada (Central), and Europe (London) Regions. These Graviton3-based instances with DDR5 memory are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud. To learn more, see Amazon C7gd Instances. To get started, see the AWS Management Console.    

Amazon Relational Database Service (RDS) Proxy is now available in the Asia Pacific (Malaysia), Asia Pacific (Thailand), and Mexico (Central) Regions. RDS Proxy is a fully managed and a highly available database proxy for RDS and Amazon Aurora databases. RDS Proxy helps improve application scalability, resiliency, and security.

Many applications, including those built on modern architectures capable of horizontal scaling based on ebb and flow of active users, can open a large number of database connections or open and close connections frequently. This can stress the database’s memory and compute, leading to slower performance and limited application scalability. Amazon RDS Proxy sits between your application and database to pool and share established database connections, improving database efficiency and application scalability. In case of a failure, Amazon RDS Proxy automatically connects to a standby database instance within a region. With Amazon RDS Proxy, database credentials and access can be managed through AWS Secrets Manager and AWS Identity and Access Management (IAM), eliminating the need to embed database credentials in application code.

For information on supported database engine versions and regional availability of RDS Proxy, refer to the RDS Proxy RDS and Aurora documentation.

​Amazon Relational Database Service (RDS) Proxy is now available in the Asia Pacific (Malaysia), Asia Pacific (Thailand), and Mexico (Central) Regions. RDS Proxy is a fully managed and a highly available database proxy for RDS and Amazon Aurora databases. RDS Proxy helps improve application scalability, resiliency, and security. Many applications, including those built on modern architectures capable of horizontal scaling based on ebb and flow of active users, can open a large number of database connections or open and close connections frequently. This can stress the database’s memory and compute, leading to slower performance and limited application scalability. Amazon RDS Proxy sits between your application and database to pool and share established database connections, improving database efficiency and application scalability. In case of a failure, Amazon RDS Proxy automatically connects to a standby database instance within a region. With Amazon RDS Proxy, database credentials and access can be managed through AWS Secrets Manager and AWS Identity and Access Management (IAM), eliminating the need to embed database credentials in application code. For information on supported database engine versions and regional availability of RDS Proxy, refer to the RDS Proxy RDS and Aurora documentation.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6id instances are available in Europe (Paris) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage.

C6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics.

These instances are generally available today in the US West (Oregon), US East (Ohio, N. Virginia), Canada (Central), Canada West (Calgary), AWS GovCloud (US-West), Mexico (Central), South America (Sao Paulo), Asia Pacific (Thailand, Seoul, Malaysia, Tokyo, Singapore, Sydney), Europe (Paris, Ireland, Frankfurt, London), Israel (Tel Aviv) Regions.

Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To learn more, visit our product page for Amazon C6id instances. To get started, visit AWS Command Line Interface (CLI), and AWS SDKs.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6id instances are available in Europe (Paris) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. C6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics. These instances are generally available today in the US West (Oregon), US East (Ohio, N. Virginia), Canada (Central), Canada West (Calgary), AWS GovCloud (US-West), Mexico (Central), South America (Sao Paulo), Asia Pacific (Thailand, Seoul, Malaysia, Tokyo, Singapore, Sydney), Europe (Paris, Ireland, Frankfurt, London), Israel (Tel Aviv) Regions. Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To learn more, visit our product page for Amazon C6id instances. To get started, visit AWS Command Line Interface (CLI), and AWS SDKs.  

AWS announces the general availability of 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. 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 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.

All of these instances are available in the following AWS Regions: US East (Ohio, N. Virginia), and US West (Oregon).

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.
 

​AWS announces the general availability of 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. 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 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. All of these instances are available in the following AWS Regions: US East (Ohio, N. Virginia), and US West (Oregon). 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 Kinesis Data Streams now offers significantly higher default shard limits for data streams in Provisioned capacity mode, increasing from 500 to 20,000 shards per AWS account in the US East (N. Virginia), US West (Oregon), and Europe (Ireland) regions. You can also see an account’s utilization of the shards limit in any region via the AWS Service Quotas console, so you can grow streaming workloads easily and quickly to bring real-time insights to more use cases.

Amazon Kinesis Data Streams is a serverless data streaming service that allows customers to build de-coupled applications that publish and consume real-time data streams at any scale. A data stream is composed of shards, and each shard provides 1 MB/sec ingress and 2 MB/sec egress throughput capacity. You can easily change a stream’s throughput capacity by specifying its number of shards via the console, an API call, or the CLI. With the increased limits, customers using Provisioned mode can now process up to 10 GB/sec of ingress and 20 GB/sec of egress per account by default, and they can always request further increases to this limit.

The default shard limits have also been increased from 200 to 1,000 shards or 6,000 shards per account for all other regions. You can view the new defaults for all regions and request further increases via the Service Quotas console. For more information about how shard limits affect your data streams, see the Quotas and Limits documentation.

​Amazon Kinesis Data Streams now offers significantly higher default shard limits for data streams in Provisioned capacity mode, increasing from 500 to 20,000 shards per AWS account in the US East (N. Virginia), US West (Oregon), and Europe (Ireland) regions. You can also see an account’s utilization of the shards limit in any region via the AWS Service Quotas console, so you can grow streaming workloads easily and quickly to bring real-time insights to more use cases. Amazon Kinesis Data Streams is a serverless data streaming service that allows customers to build de-coupled applications that publish and consume real-time data streams at any scale. A data stream is composed of shards, and each shard provides 1 MB/sec ingress and 2 MB/sec egress throughput capacity. You can easily change a stream’s throughput capacity by specifying its number of shards via the console, an API call, or the CLI. With the increased limits, customers using Provisioned mode can now process up to 10 GB/sec of ingress and 20 GB/sec of egress per account by default, and they can always request further increases to this limit. The default shard limits have also been increased from 200 to 1,000 shards or 6,000 shards per account for all other regions. You can view the new defaults for all regions and request further increases via the Service Quotas console. For more information about how shard limits affect your data streams, see the Quotas and Limits documentation.  

Amazon SQS now supports Internet Protocol version 6 (IPv6) for API requests enabling you to communicate with Amazon SQS using Internet Protocol Version 6 (IPv6), Internet Protocol Version 4 (IPv4), or dual stack clients using public endpoints.

Amazon SQS is a fully managed message queuing service that enables decoupling and scaling of distributed systems, microservices, and serverless applications. The addition of IPv6 support provides customers with a vastly expanded address space, eliminating concerns about address exhaustion and simplifying network architecture for IPv6-native applications. With simultaneous support for both IPv4 and IPv6 clients on SQS public endpoints, customers can gradually transition from IPv4 to IPv6-based systems and applications without needing to switch all systems at once. This enhancement is particularly valuable for modern cloud-native applications and organizations transitioning to IPv6 as part of their modernization efforts.

To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. This feature is now available in all AWS commercial Regions, including AWS China Regions, and can be used at no additional cost.

See here for a full listing of our Regions. To learn more about Amazon SQS, please refer to our Developer Guide.
 

​Amazon SQS now supports Internet Protocol version 6 (IPv6) for API requests enabling you to communicate with Amazon SQS using Internet Protocol Version 6 (IPv6), Internet Protocol Version 4 (IPv4), or dual stack clients using public endpoints. Amazon SQS is a fully managed message queuing service that enables decoupling and scaling of distributed systems, microservices, and serverless applications. The addition of IPv6 support provides customers with a vastly expanded address space, eliminating concerns about address exhaustion and simplifying network architecture for IPv6-native applications. With simultaneous support for both IPv4 and IPv6 clients on SQS public endpoints, customers can gradually transition from IPv4 to IPv6-based systems and applications without needing to switch all systems at once. This enhancement is particularly valuable for modern cloud-native applications and organizations transitioning to IPv6 as part of their modernization efforts. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. This feature is now available in all AWS commercial Regions, including AWS China Regions, and can be used at no additional cost. See here for a full listing of our Regions. To learn more about Amazon SQS, please refer to our Developer Guide.    

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.9, which allows users to retain tiered data when disabling Tiered Storage at the topic level. Consumer applications can continue to read historical data from the remote log start offset (Rx) while maintaining continuous log offsets across both local and remote storage.
Along with this feature, Apache Kafka version 3.9 includes various bug fixes and improvements. For more details, please refer to the Apache Kafka release notes for version 3.9.

Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easier for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is compatible with Apache Kafka, which enables you to quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you can spend more time innovating on streaming applications and less time managing Apache Kafka clusters. To learn how to get started, see the Amazon MSK Developer Guide.

Support for Apache Kafka version 3.9 is available in all AWS regions where Amazon MSK is available.

​Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.9, which allows users to retain tiered data when disabling Tiered Storage at the topic level. Consumer applications can continue to read historical data from the remote log start offset (Rx) while maintaining continuous log offsets across both local and remote storage. Along with this feature, Apache Kafka version 3.9 includes various bug fixes and improvements. For more details, please refer to the Apache Kafka release notes for version 3.9. Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easier for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is compatible with Apache Kafka, which enables you to quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you can spend more time innovating on streaming applications and less time managing Apache Kafka clusters. To learn how to get started, see the Amazon MSK Developer Guide. Support for Apache Kafka version 3.9 is available in all AWS regions where Amazon MSK is available.