Amazon Inspector scanning for Lambda functions and Elastic Container Registry (ECR) images now supports Java Gradle inventory and vulnerability scanning. This release also adds coverage for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl. This update enhances Amazon Inspector’s ability to detect vulnerabilities and misconfigurations across a broader range of applications and environments. Amazon Inspector is an automated vulnerability management service that continually scans AWS workloads for software vulnerabilities and unintended network exposure, helping organizations improve their security posture and meet compliance requirements.
The new Java Gradle support allows Inspector to scan Java dependencies based on gradle.lockfile content, providing comprehensive vulnerability assessments for Java applications. When you use Inspector to scan Lambda functions and ECR images, you will now see findings for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl installations. These enhancements enable more accurate detection of vulnerabilities in packages installed outside of package managers, improving overall security coverage for AWS customers using these technologies.
To learn more about Amazon Inspector and how it can help secure your AWS workloads, visit the Amazon Inspector page. For a full list of Amazon Inspector supported operating systems and programming languages, see the user guide. You can start using these new features today in all AWS Regions where Amazon Inspector is available.
Amazon Inspector scanning for Lambda functions and Elastic Container Registry (ECR) images now supports Java Gradle inventory and vulnerability scanning. This release also adds coverage for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl. This update enhances Amazon Inspector’s ability to detect vulnerabilities and misconfigurations across a broader range of applications and environments. Amazon Inspector is an automated vulnerability management service that continually scans AWS workloads for software vulnerabilities and unintended network exposure, helping organizations improve their security posture and meet compliance requirements. The new Java Gradle support allows Inspector to scan Java dependencies based on gradle.lockfile content, providing comprehensive vulnerability assessments for Java applications. When you use Inspector to scan Lambda functions and ECR images, you will now see findings for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl installations. These enhancements enable more accurate detection of vulnerabilities in packages installed outside of package managers, improving overall security coverage for AWS customers using these technologies. To learn more about Amazon Inspector and how it can help secure your AWS workloads, visit the Amazon Inspector page. For a full list of Amazon Inspector supported operating systems and programming languages, see the user guide. You can start using these new features today in all AWS Regions where Amazon Inspector is available.
Amazon Connect now offers customers the ability to view status of agent screen recordings in near real time in CloudWatch using Amazon EventBridge. With screen recording, supervisors can identify areas for agent coaching (e.g., non-compliance with business processes) by not only listening to customer calls or reviewing chat transcripts, but also watching agents’ actions while handling a contact (i.e., a voice call, chat and task). Using Amazon EventBridge, customers can see status of each agent screen recording including success/failure, failure codes with description, installed client version, agent web browser version, agent operating system, screen recording start and end times from CloudWatch.
Customers can start using Amazon Connect screen recording status tracking by subscribing to Screen Recording Status Changed event type in Amazon EventBridge event bus.
Screen recording status tracking is available in all the AWS Regions where Amazon Connect is already available. To learn more about screen recording, please visit the documentation and webpage. For information about screen recording pricing, visit the Amazon Connect pricing page.
Amazon Connect now offers customers the ability to view status of agent screen recordings in near real time in CloudWatch using Amazon EventBridge. With screen recording, supervisors can identify areas for agent coaching (e.g., non-compliance with business processes) by not only listening to customer calls or reviewing chat transcripts, but also watching agents’ actions while handling a contact (i.e., a voice call, chat and task). Using Amazon EventBridge, customers can see status of each agent screen recording including success/failure, failure codes with description, installed client version, agent web browser version, agent operating system, screen recording start and end times from CloudWatch. Customers can start using Amazon Connect screen recording status tracking by subscribing to Screen Recording Status Changed event type in Amazon EventBridge event bus. Screen recording status tracking is available in all the AWS Regions where Amazon Connect is already available. To learn more about screen recording, please visit the documentation and webpage. For information about screen recording pricing, visit the Amazon Connect pricing page.
Microsoft impulsa el comercio minorista con capacidades de IA agéntica que impulsan la automatización inteligente para cada función comercial
Diseñada para toda la cadena de valor minorista, la IA agénticade Microsoft optimiza flujos de trabajo críticos para acelerar decisiones y resultados al aumentar la experiencia humana en toda la empresa
REDMOND, Washington — Microsoft Corp. anunció el pasado jueves 8 de enero, soluciones de IA agéntica diseñadas para llevar la automatización inteligente a todas las áreas del negocio minorista. Estas nuevas capacidades ayudan a los minoristas a moverse más rápido, atender a los compradores con mayor relevancia y operar con resiliencia y eficiencia, para brindar una base moderna que permita el crecimiento en un mercado de una alta competitividad.
En comercialización, marketing, operaciones de tienda y cumplimiento, estas soluciones aportan una capa conectada de inteligencia que transforma flujos de trabajo fragmentados en ejecuciones coordinadas. Al dotar a los equipos de herramientas contextuales capaces de anticipar y actuar, Microsoft acelera el avance de la industria hacia un sistema operativo unificado y basado en la inteligencia, diseñado para el ritmo del comercio minorista moderno.
«Los minoristas que prosperen serán aquellos que unan su negocio con inteligencia que alcance todos los rincones de la cadena de valor», dijo Kathleen Mitford, vicepresidenta corporativa de industria global en Microsoft. «Con la IA agéntica de Microsoft, los minoristas pueden automatizar lo que les ralentiza y amplificar lo que les diferencia, lo que permite tomar decisiones más rápidas y fortalecer las relaciones con los clientes, mientras construyen operaciones preparadas para lo que venga.»
Convertir la inspiración en acción con el comercio agéntico
La IA ha comenzado a cambiar de manera significativa la manera en que los consumidores compran regalos. Adobe ha revelado que el tráfico de comercio electrónico impulsado por IA para la temporada navideña de 2025 ha aumentado un 693% en comparación con 2024. Este aumento ilustra la importancia de conectar un compromiso auténtico con la marca con la compra sin fricciones, lo que ayuda a los minoristas a captar valor en el momento exacto de la intención.
Copilot Checkout permitirá a los comerciantes contactar con los compradores a medida que completan las compras descubiertas directo en Copilot, sin ser redirigidos a sitios externos. Copilot Checkout convierte las conversaciones en conversiones — al instante. Sin redireccionamiento, sin fricciones, y los comerciantes se mantienen como los comerciantes registrados. Copilot Checkout ya está disponible en EE. UU. en Copilot.com. Socios de confianza que permiten esta experiencia incluyen PayPal, Shopify y Stripe. Los compradores podrán comprar en marcas minoristas líderes como Urban Outfitters, Anthropologie y Ashley Furniture, y descubrir artículos únicos y hechos a mano de vendedores de Etsy, con muchos más uniéndose pronto.
«En Etsy, nuestro trabajo es facilitar que la gente descubra las cosas especiales que crean nuestros vendedores. Al llevar el inventario único de Etsy a Copilot Checkout, estamos reuniéndonos con los compradores en el momento en que la intención se convierte en acción», dijo Rafe Colburn, director de producto y tecnología de Etsy. «Con una sola integración, abrimos la puerta para que nuestros vendedores aparezcan en nuevas superficies sin trabajo extra. Es una forma sencilla de conectar su creatividad con compradores de alta intención — y de mantener el comercio humano a medida que las compras evolucionan.»
Los comerciantes de Shopify se inscribirán de manera automática en Copilot Checkout tras una ventana de exclusión. «Copilot Checkout puede mover a un cliente de la intención a la transacción en segundos, todo sin salir de la conversación. Es la caja del comerciante impulsada por Shopify, que encaja a la perfección en la experiencia del cliente», dijo Mani Fazeli, vicepresidente de producto en Shopify. «Este es el poder moderno de las Tiendas Agénticas: personalización y relevancia, confianza y precisión, rapidez y conveniencia.»
Los comerciantes que quieran incorporarse a través de PayPal o Stripe pueden aplicar aquí.
Impulsar la fidelidad y las conversiones a través de agentes de compras inteligentes
Microsoft presentó dos soluciones que dan vida al comercio agéntico en las experiencias digitales que poseen los minoristas: Brand Agents, ahora disponible para comerciantes en la plataforma Shopify, y la plantilla personalizada de agente de compras en Copilot Studio. Ambos permiten experiencias de compra personalizadas y conversacionales, lo que ayuda a los minoristas a guiar a los clientes, aumentar la interacción y generar conversiones.
Brand Agents es una solución llave en mano para que las marcas aporten su voz auténtica a cada interacción digital en su sitio web. Entrenado con el catálogo de productos de una marca, responde a preguntas detalladas sobre productos, involucra a los compradores en conversaciones naturales y alineadas con la marca, y está listo para que los clientes de Shopify los desplieguen con una configuración mínima.
La plantilla personalizada de agente de compras ofrece un marco personalizable por completo para los minoristas que desean personalizar las experiencias de manera más profunda. Además de la búsqueda de productos en tiempo real y con conciencia del contexto y recomendaciones para experiencias web, móviles y en tienda, incluye capacidades avanzadas como la creación de conjuntos y más, lo que da a los minoristas flexibilidad para crear viajes de compra únicos y atractivos.
«La plantilla personalizada de agente de compras de Microsoft nos ofrece una base flexible para explorar la orientación impulsada por IA de una manera que se adapte a nuestras marcas, mejore la experiencia del cliente y ayude a que los clientes se inspiren», dijo Jenny Jidborn, responsable de TI en Kappahl Group. «Apoya nuestra ambición de mejorar la conversión y, al mismo tiempo, reducir los rendimientos mediante un mejor soporte a la toma de decisiones a nivel de producto — lo que ayuda, en última instancia, a los clientes a sentirse más seguros y satisfechos con sus elecciones.»
Facilitar un descubrimiento y recomendaciones más inteligentes mediante el enriquecimiento del catálogo
Microsoft también lanzó en vista previa pública la plantilla de agente de enriquecimiento de catálogo en Copilot Studio, un asistente inteligente que extrae atributos de productos de imágenes, las enriquece con información social y automatiza tareas de catálogo como la incorporación de productos, categorización y resolución de errores. Al servir como base para el comercio por agentes y como una nueva palanca para los comerciantes, esta plantilla personalizable transforma los datos de productos en datos enriquecidos y estructurados que impulsan el descubrimiento, las recomendaciones y experiencias de compra hiperpersonalizadas a través de los canales.
«Con la plantilla de agente de enriquecimiento de catálogo de Microsoft como columna vertebral de nuestras experiencias de compra personalizadas, podemos convertir los detalles de los productos en información de valor significativa que ayuda a los compradores a descubrir estilos en tiempo real, recibir recomendaciones personalizadas y explorar looks completos», dijo David Torrecilla, responsable de innovación en Guess. «Es un paso poderoso en nuestro compromiso de ofrecer un servicio tan dinámico como nuestra marca.»
Empoderar a los empleados de tienda y optimizar las operaciones para un servicio más rápido y mejores experiencias para el cliente
Los minoristas aun lidian con una alta rotación y una escasez de personal cualificado en primera línea. Muchos empleados carecen de acceso a herramientas digitales que les ayuden a atender a los clientes de forma más eficaz y eficiente. La nueva solución de IA agéntica de Microsoft está diseñada para cambiar eso, al impulsar a los empleados con asistencia intuitiva y bajo demanda.
La plantilla de agente de operaciones de tienda en Copilot Studio, ahora en vista previa pública, permite a los líderes y asociados de la tienda una interfaz en lenguaje natural para respuestas rápidas sobre disponibilidad de inventario y políticas de tienda, mientras orquestan de forma autónoma los flujos de trabajo, señalan excepciones y recomiendan las siguientes mejores acciones. Al analizar señales internas como las tendencias de ventas y el tráfico de personas junto con factores externos como el tiempo, eventos locales y festivos, ofrece recomendaciones contextuales sobre personal, KPIs y prioridades operativas. El agente inteligente ayuda a los líderes a tomar decisiones más inteligentes y rápidas.
«Con la plantilla de agente de operaciones de tienda, avanzamos en nuestra estrategia de IA al permitir que los equipos actúen sobre información de valor en tiempo real de la tienda», dijo John Khoury, CTO de grupo en Strandbags. «La flexibilidad para adaptar al agente a nuestras necesidades específicas garantiza que nuestros equipos puedan centrarse en ofrecer un servicio excepcional mientras nos mantenemos a la vanguardia en un mundo minorista en rápida evolución.»
Las nuevas soluciones de IA agéntica de Microsoft marcan un punto de inflexión en la era de la IA agéntica para los minoristas, proporcionándoles las herramientas para anticipar cambios, operar de manera más eficiente y ofrecer experiencias que reflejen en verdad los valores de su marca. Los agentes inteligentes ayudan a automatizar flujos de trabajo críticos del comercio minorista, desde la gestión de inventario y la incorporación de productos hasta la información de comercialización en tiempo real, lo que libera a los equipos para centrarse en la estrategia y la innovación mientras impulsan resultados empresariales medibles. Al combinar una integración empresarial profunda con innovación responsable, Microsoft ayuda a los minoristas a construir negocios más sólidos y relaciones duraderas con los clientes para el futuro.
Empiecen a explorar soluciones para agentes minoristas en Microsoft Marketplace y aprendan más sobre Microsoft for Retail aquí. Para experimentar estas soluciones en acción, visiten a Microsoft y a sus clientes y socios en el NRF 2026 en el stand #4503.
Microsoft (Nasdaq «MSFT» @microsoft) crea plataformas y herramientas impulsadas por IA para ofrecer soluciones innovadoras que respondan a las necesidades cambiantes de nuestros clientes. La empresa tecnológica está comprometida a hacer que la IA esté disponible de forma amplia y responsable, con la misión de empoderar a cada persona y organización del planeta para lograr más.
Nota para los editores: Para más información, noticias y perspectivas de Microsoft, por favor visite Microsoft Source LATAM en https://news.microsoft.com/source/latam/. Los enlaces web, números de teléfono y títulos eran correctos en el momento de la publicación, pero pueden haber cambiado. Para asistencia adicional, periodistas y analistas pueden contactar con el Equipo de Respuesta Rápida de Microsoft u otros contactos apropiados listados en https://news.microsoft.com/microsoft-public-relations-contacts.
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Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (New Zealand) region. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications.
With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, Apache Iceberg in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs.
Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (New Zealand) region. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, Apache Iceberg in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.
Amazon Lightsail now offers two larger database bundles with up to 8 vCPUs, 32GB memory, and 960GB SSD storage. The new database bundles are available in both standard and high-availability plans. You can create MySQL and PostgreSQL databases using the new Lightsail managed database bundles.
The new larger database bundles enable you to scale your database workloads and run more data-intensive applications in Lightsail. These higher-performance database bundles are ideal for production workloads that require increased storage capacity and processing power to handle growing datasets and concurrent connections. Using these new bundles, you can run e-commerce platforms, content management systems, business intelligence applications, SaaS products, and more.
Amazon Lightsail now offers two larger database bundles with up to 8 vCPUs, 32GB memory, and 960GB SSD storage. The new database bundles are available in both standard and high-availability plans. You can create MySQL and PostgreSQL databases using the new Lightsail managed database bundles. The new larger database bundles enable you to scale your database workloads and run more data-intensive applications in Lightsail. These higher-performance database bundles are ideal for production workloads that require increased storage capacity and processing power to handle growing datasets and concurrent connections. Using these new bundles, you can run e-commerce platforms, content management systems, business intelligence applications, SaaS products, and more. These new bundles are now available in all AWS Regions where Amazon Lightsail is available. For more information on pricing, or to get started with your free trial, click here.
Amazon EMR Serverless now supports job run-level cost allocation that provides better visibility into charges for individual job runs by allowing you to configure granular billing attribution at the individual job run level. You can get granular cost visibility by filtering and tracking costs in AWS Cost Explorer and Cost and Usage Reports by specific job run IDs and cost allocation tags associated with job runs.
Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Previously, you could assign cost allocation tags to EMR Serverless applications, with cost attribution limited to the application level. With job run-level cost allocation, now you can assign cost allocation tags to each job run, enabling fine-grained billing attribution at the individual job run level. Cost allocation tags at the job run level also allow you to track costs by domains within a single application. For example, a single application could support jobs for finance and marketing domains, allowing you to track costs separately for each domain. Tracking costs for individual job runs makes it easier to conduct benchmarks that assess the costs of each job run as well as focus cost optimization efforts more precisely, allowing deeper insights into resource utilization and spending patterns across different jobs and domains.
This feature is available in all AWS Regions where Amazon EMR Serverless is available including AWS GovCloud (US) and China regions. To learn more, see Enabling Job Level Cost Allocation in the Amazon EMR Serverless User Guide
Amazon EMR Serverless now supports job run-level cost allocation that provides better visibility into charges for individual job runs by allowing you to configure granular billing attribution at the individual job run level. You can get granular cost visibility by filtering and tracking costs in AWS Cost Explorer and Cost and Usage Reports by specific job run IDs and cost allocation tags associated with job runs. Amazon EMR Serverless is a deployment option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Previously, you could assign cost allocation tags to EMR Serverless applications, with cost attribution limited to the application level. With job run-level cost allocation, now you can assign cost allocation tags to each job run, enabling fine-grained billing attribution at the individual job run level. Cost allocation tags at the job run level also allow you to track costs by domains within a single application. For example, a single application could support jobs for finance and marketing domains, allowing you to track costs separately for each domain. Tracking costs for individual job runs makes it easier to conduct benchmarks that assess the costs of each job run as well as focus cost optimization efforts more precisely, allowing deeper insights into resource utilization and spending patterns across different jobs and domains. This feature is available in all AWS Regions where Amazon EMR Serverless is available including AWS GovCloud (US) and China regions. To learn more, see Enabling Job Level Cost Allocation in the Amazon EMR Serverless User Guide
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports setting up cross-region read replicas in 16 additional AWS Regions. Cross-region read replicas enable customers to provide a replica database for read-only applications closer to users in a different region, and scale out read-only workloads. Since a read replica can be «promoted» to a standalone production database, cross-region read replicas can also be used for disaster recovery in case of regional failures. Customers can setup up to fifteen read replicas in the same or different region as the primary database instance.
This launch adds support for cross-region read replicas in RDS for SQL Server in the following AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), Middle East (Bahrain), and Middle East (UAE). To get started, visit the Amazon RDS SQL Server User Guide.
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports setting up cross-region read replicas in 16 additional AWS Regions. Cross-region read replicas enable customers to provide a replica database for read-only applications closer to users in a different region, and scale out read-only workloads. Since a read replica can be «promoted» to a standalone production database, cross-region read replicas can also be used for disaster recovery in case of regional failures. Customers can setup up to fifteen read replicas in the same or different region as the primary database instance. This launch adds support for cross-region read replicas in RDS for SQL Server in the following AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), Middle East (Bahrain), and Middle East (UAE). To get started, visit the Amazon RDS SQL Server User Guide.
Amazon Quick is expanding its third-party integrations by adding AI agents and growing its built-in actions library. Quick is Amazon’s new AI-powered workspace and agentic teammate that helps organizations get answers from their business data and move quickly from insights to action. As organizations navigate newly adopted AI agents and work with existing enterprise tools for CRM, support, collaboration, and more, users face fragmented experiences. Users are forced to switch between different interfaces, repeat context, and manually stitch together outputs. Quick enables users to work with third-party agents and enterprise tools from a single interface, eliminating the wasted time and cognitive load of constantly switching between applications.
With Quick, business users can now invoke specialized agents from Box, Canva, and PagerDuty to accomplish chat and automation tasks. For example, you can pull incident insights from PagerDuty, generate a presentation in Canva, and query documents stored in Box – all directly from Quick. Additionally, Quick has expanded its built-in actions to include integrations with GitHub, Notion, Canva, Box, Linear, Hugging Face, Monday.com, HubSpot, Intercom, and more. This enables Quick users to accomplish tasks like creating GitHub issues, summarizing meeting notes in Notion, managing their CRM, and more. Beyond our new built-in integrations, customers can continue to leverage custom Model Context Protocol (MCP) and OpenAPI connectors to connect Quick to thousands of additional applications.
Amazon Quick is expanding its third-party integrations by adding AI agents and growing its built-in actions library. Quick is Amazon’s new AI-powered workspace and agentic teammate that helps organizations get answers from their business data and move quickly from insights to action. As organizations navigate newly adopted AI agents and work with existing enterprise tools for CRM, support, collaboration, and more, users face fragmented experiences. Users are forced to switch between different interfaces, repeat context, and manually stitch together outputs. Quick enables users to work with third-party agents and enterprise tools from a single interface, eliminating the wasted time and cognitive load of constantly switching between applications. With Quick, business users can now invoke specialized agents from Box, Canva, and PagerDuty to accomplish chat and automation tasks. For example, you can pull incident insights from PagerDuty, generate a presentation in Canva, and query documents stored in Box – all directly from Quick. Additionally, Quick has expanded its built-in actions to include integrations with GitHub, Notion, Canva, Box, Linear, Hugging Face, Monday.com, HubSpot, Intercom, and more. This enables Quick users to accomplish tasks like creating GitHub issues, summarizing meeting notes in Notion, managing their CRM, and more. Beyond our new built-in integrations, customers can continue to leverage custom Model Context Protocol (MCP) and OpenAPI connectors to connect Quick to thousands of additional applications. These features are now available in all AWS Regions where Amazon Quick is available. To learn more, visit the Amazon Quick Supported Integrations Guide and Integration Specific Guide.
AWS Lambda now supports creating serverless applications using .NET 10. Developers can use .NET 10 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available.
.NET 10 is the latest long-term support release of .NET and is expected to be supported for security and bug fixes until November 2028. This release provides Lambda developers with access to the latest .NET features, including file-based apps. It also includes support for Lambda Managed Instances, enabling you to run Lambda functions on Amazon EC2 instances while maintaining serverless operational simplicity, providing cost efficiency and specialized compute options. Powertools for AWS Lambda (.NET), a developer toolkit to implement serverless best practices and increase developer velocity, also supports .NET 10. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in .NET 10.
The .NET 10 runtime is available in all Regions, including the AWS GovCloud (US) Regions and China Regions.
For more information, including guidance on upgrading existing Lambda functions, see our blog post. For more information about AWS Lambda, visit our product page.
AWS Lambda now supports creating serverless applications using .NET 10. Developers can use .NET 10 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. .NET 10 is the latest long-term support release of .NET and is expected to be supported for security and bug fixes until November 2028. This release provides Lambda developers with access to the latest .NET features, including file-based apps. It also includes support for Lambda Managed Instances, enabling you to run Lambda functions on Amazon EC2 instances while maintaining serverless operational simplicity, providing cost efficiency and specialized compute options. Powertools for AWS Lambda (.NET), a developer toolkit to implement serverless best practices and increase developer velocity, also supports .NET 10. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in .NET 10. The .NET 10 runtime is available in all Regions, including the AWS GovCloud (US) Regions and China Regions. For more information, including guidance on upgrading existing Lambda functions, see our blog post. For more information about AWS Lambda, visit our product page.
Amazon MQ now supports the ability for RabbitMQ brokers to perform authentication (determining who can log in) using X.509 client certificates with mutual TLS (mTLS). The RabbitMQ auth_mechanism_ssl plugin can be configured on brokers running RabbitMQ version 4.2 and above on Amazon MQ by making changes to the associated configuration file.
To start using certificate based authentication on Amazon MQ, simply select RabbitMQ 4.2 when creating a new broker using the M7g instance type through the AWS Management console, AWS CLI, or AWS SDKs, and then edit the associated configuration file with the required values. To learn more about the plugin, see the Amazon MQ release notes and the Amazon MQ developer guide. This plugin is available in all regions where Amazon MQ RabbitMQ 4 instances are available today.
Amazon MQ now supports the ability for RabbitMQ brokers to perform authentication (determining who can log in) using X.509 client certificates with mutual TLS (mTLS). The RabbitMQ auth_mechanism_ssl plugin can be configured on brokers running RabbitMQ version 4.2 and above on Amazon MQ by making changes to the associated configuration file. To start using certificate based authentication on Amazon MQ, simply select RabbitMQ 4.2 when creating a new broker using the M7g instance type through the AWS Management console, AWS CLI, or AWS SDKs, and then edit the associated configuration file with the required values. To learn more about the plugin, see the Amazon MQ release notes and the Amazon MQ developer guide. This plugin is available in all regions where Amazon MQ RabbitMQ 4 instances are available today.
