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AWS Security Hub launches Extended plan for pay-as-you-go partner solutions

Today, we’re announcing the general availability of AWS Security Hub Extended, a new plan that extends unified security operations across your enterprise through a single-vendor experience. This plan helps address the complexity of managing multiple vendor relationships and lengthy procurement cycles by bringing together the best of AWS detection services and curated partner security solutions.

The Security Hub Extended plan delivers three critical advantages. First, it helps streamline procurement by consolidating solution usage into one bill—thereby reducing procurement complexity while preserving direct access to each provider’s domain expertise. AWS Enterprise Support Customers also benefit from unified Level 1 support from AWS. Second, it enables you to establish more comprehensive protection by bringing together the best of AWS detection services with curated partner solutions across endpoint, identity, email, network, data, browser, cloud, AI, and security operations. Third, it helps enhance operational efficiency by streamlining security findings in a standard format, providing centralized visibility across your security environment while reducing the burden of manual integration work.

You can access and review partner solutions across security categories through the Security Hub console, selecting only the solutions you need with flexible pay-as-you-go or flat-rate pricing—no upfront investments or long-term commitments required. With AWS as the seller of record, the Extended plan may be eligible for AWS Private Pricing opportunities. This gives you the flexibility to add or remove security categories as your business needs evolve, while enabling you to streamline vendor contract negotiations and consolidate billing. For a list of AWS commercial Regions where Security Hub is available, see the AWS Region table. For more information about pricing, visit the AWS Security Hub pricing page. To get started, visit the AWS Security Hub console or product page.

 

​Today, we’re announcing the general availability of AWS Security Hub Extended, a new plan that extends unified security operations across your enterprise through a single-vendor experience. This plan helps address the complexity of managing multiple vendor relationships and lengthy procurement cycles by bringing together the best of AWS detection services and curated partner security solutions. The Security Hub Extended plan delivers three critical advantages. First, it helps streamline procurement by consolidating solution usage into one bill—thereby reducing procurement complexity while preserving direct access to each provider’s domain expertise. AWS Enterprise Support Customers also benefit from unified Level 1 support from AWS. Second, it enables you to establish more comprehensive protection by bringing together the best of AWS detection services with curated partner solutions across endpoint, identity, email, network, data, browser, cloud, AI, and security operations. Third, it helps enhance operational efficiency by streamlining security findings in a standard format, providing centralized visibility across your security environment while reducing the burden of manual integration work. You can access and review partner solutions across security categories through the Security Hub console, selecting only the solutions you need with flexible pay-as-you-go or flat-rate pricing—no upfront investments or long-term commitments required. With AWS as the seller of record, the Extended plan may be eligible for AWS Private Pricing opportunities. This gives you the flexibility to add or remove security categories as your business needs evolve, while enabling you to streamline vendor contract negotiations and consolidate billing. For a list of AWS commercial Regions where Security Hub is available, see the AWS Region table. For more information about pricing, visit the AWS Security Hub pricing page. To get started, visit the AWS Security Hub console or product page.  

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DTECH 2026: Cómo Microsoft y nuestros socios aceleran la innovación en IA para las empresas

DTECH 2026: Cómo Microsoft y nuestros socios aceleran la innovación en IA para las empresas

Turbinas eólicas sobre colinas onduladas al amanecer, generando energía renovable sobre un paisaje boscoso.

Por: Bilal Khursheed, líder mundial en energía y servicios públicos, industria de energía y recursos, Microsoft.

DTECH 2026 reunió a la industria energética en un momento en que las prioridades del sector convergen de manera rápida. A lo largo de las sesiones y conversaciones en la sala, un mensaje era constante: la red se ha comenzado a convertir en un sistema en tiempo real en cada capa, y el modelo operativo debe evolucionar para mantenerse al ritmo.

Este año, Microsoft tuvo un enfoque claro en DTECH 2026: ayudar a las empresas eléctricas a pasar de pilotos a producción a través de unificar datos de TI y OT, para aplicar IA donde mejore de forma medible la fiabilidad, la asequibilidad y la productividad, y lo haga con la seguridad y gobernanza necesarias para infraestructuras críticas.

Las sesiones dirigidas por Microsoft exploraron la posibilidad de ir más allá de la experimentación para centrarse en cómo las empresas eléctricas convierten datos unificados y la IA en resultados operativos y repetibles. Las conclusiones de DTECH este año apuntan al próximo capítulo de la modernización de la red, uno definido por la ejecución a gran escala, no por pilotos.

Exploren las posibilidades de la transformación de la IA con Microsoft

Lo que reforzaron los líderes de las compañías eléctricas: Mantenerse al día con el cambio

Los líderes de las compañías eléctricas señalaron de manera constante la creciente velocidad del cambio en toda la red. La planificación y las operaciones se impulsan para responder más rápido a medida que el crecimiento de la carga se vuelve mayor, más concentrado y más volátil. La electrificación remodela los perfiles de demanda máxima, mientras que los programas de capital están bajo presión para ofrecer un valor medible antes, incluso cuando los plazos siguen comprimiéndose.

A nivel de distribución, la complejidad operativa está en aumento. Los recursos energéticos distribuidos, los vehículos eléctricos, la demanda flexible y los nuevos programas de mercado convierten los sistemas de distribución en entornos con un alto dinamismo que exigen mejor visibilidad, orquestación y ciberseguridad. Las compañías eléctricas gestionan flujos de energía bidireccionales, la evolución de los esquemas de protección y la realidad de que los activos pequeños y distribuidos pueden tener impactos desproporcionados a nivel de sistema, lo que eleva el listón de visibilidad, orquestación y ciberseguridad.

Como resultado, la resiliencia ya no es episódica; es un requisito operativo diario. Los datos fragmentados y la coordinación manual aun limitan la conciencia situacional y la lenta respuesta durante eventos importantes.

Los líderes del sector fueron realistas respecto a estas limitaciones. Los plazos de entrega de equipos, la disponibilidad de la plantilla y los requisitos regulatorios hacen que las mejoras de fiabilidad a corto plazo a menudo provienen de mejorar la planificación y operación de los activos y sistemas existentes. Como resultado, el progreso se mide cada vez más por la eficacia con la que se traduce la información de valor en decisiones operativas, respaldadas por plataformas seguras y escalables.

Datos de confianza como base para la IA en operaciones

Las empresas eléctricas generan grandes cantidades de datos a través de activos, interrupciones, telemetría, imágenes, sistemas de gestión de trabajo y plataformas de clientes. En muchas organizaciones, estos datos permanecen distribuidos entre sistemas con definiciones inconsistentes, latencias variables y una gobernanza desigual.

Estas condiciones ralentizan el análisis, crean visiones contradictorias sobre el rendimiento y limitan la capacidad de pasar de la visión a la acción. Sin una base de datos coherente y de confianza, las iniciativas de IA tienen dificultades para escalar más allá de casos de uso aislados.

Microsoft se centra en ayudar a las empresas eléctricas a establecer bases de datos gobernadas que apoyen la analítica y la IA en planificación, operaciones, trabajo de campo y compromiso con el cliente. Al permitir la escalabilidad entre casos de uso—en lugar de construir pipelines puntuales—las empresas de servicios públicos pueden alinearse en torno a definiciones compartidas, aplicar controles de seguridad consistentes y colaborar sin esfuerzo duplicado.

Esto importa porque los casos de uso de mayor valor son, de manera inherente, multidominio. El rendimiento ante interrupciones, la planificación de capacidad y la preparación para grandes eventos dependen de datos que abarcan sistemas y organizaciones. Una base de datos unificada permite a la IA apoyar estas decisiones con claridad, trazabilidad y relevancia operativa.

Desde soluciones de IA compartimentadas hasta operaciones agentes

Otro tema destacado en DTECH 2026 fue el creciente interés por flujos de trabajo habilitados por agentes. Las empresas eléctricas miran más allá de las herramientas de IA independientes hacia sistemas que puedan soportar flujos de trabajo en varios pasos en planificación, operaciones y ejecución en campo, para mantener al mismo tiempo la supervisión adecuada por parte de expertos en la materia en toda la plantilla.

El enfoque está en los resultados prácticos. La identificación temprana del riesgo, caminos más claros desde la señal hasta la acción y una coordinación más fuerte entre equipos generan interés en estos enfoques, ya que las compañías eléctricas buscan avanzar más rápido.

La supervisión humana todavía es fundamental. Los operadores e ingenieros esperan sistemas de IA que presenten opciones, expliquen su justificación y consulten datos fiables, a través de operar dentro de límites de gobernanza definidos de manera clara. En entornos regulados y críticos para la seguridad, este modelo “humano en el ciclo” debe alinearse con el acceso basado en roles, las restricciones operativas y las salvaguardas establecidas.

Innovación en socios al hacer que la modernización sea desplegable

La modernización de la red depende de una sólida colaboración entre ecosistemas. Ninguna entidad por sí sola puede entregarla. Lo que importa es la interoperabilidad: cómo las soluciones trabajan juntas en planificación, operaciones, restauración de interrupciones, productividad en el campo y respuesta a grandes eventos.

Ese enfoque quedó claro en los anuncios de Microsoft y nuestros socios en DTECH 2026:

  • Dragos—Microsoft y Dragos anunciaron una colaboración ampliada centrada en ayudar a las organizaciones a modernizar y proteger sus operaciones ciberfísicas. Al combinar las capacidades de inteligencia de amenazas y detección OT de Dragos con las plataformas de nube, IA y seguridad de Microsoft, las compañías eléctricas pueden fortalecer la seguridad, fiabilidad y resiliencia de los sistemas críticos que alimentan a empresas y comunidades. 
  • GE Vernova sobre Azure—GridOS Data Fabric y DDLR están ahora en Microsoft Azure, para combinar la experiencia operativa de GE Vernova con la nube, IA y analítica de Microsoft.
  • Hitachi—El Ellipse EAM de Hitachi Energy se combina con Microsoft Dynamics 365, Microsoft Fabric, Copilot y Microsoft Foundry para crear una solución unificada que gestiona datos, análisis y operaciones empresariales, apoya las operaciones de activos y proporciona visibilidad del equipo en toda la red para servicios más fiables, operaciones más seguras y menos reparaciones de emergencia.
  • Itron—El nuevo Conector del Sistema Operativo Inteligente de Entorno (IEOS, por sus siglas en inglés) de Itron para Microsoft 365 Copilot utiliza datos fiables del borde de la red para redefinir la inteligencia del borde de la red al aplicar IA a gran escala para optimizar operaciones, mejorar la visión predictiva y enriquecer la experiencia del cliente.
  • Schneider Electric—Las capacidades de IA, nube y datos de Microsoft están integradas en la Plataforma One Digital Grid, lo que permite que las operaciones pasen de la predicción a la ejecución en cuestión de minutos.

Estos desarrollos reflejan un progreso continuo hacia arquitecturas de referencia y patrones reutilizables que reducen la integración personalizada y favorecen una adopción más amplia en entornos de servicios públicos.

Descubran cómo los agentes de IA transforman el crecimiento de la red, la respuesta a tormentas y la fuerza laboral de las compañías eléctricas

La seguridad y la resiliencia integradas en la modernización

La seguridad es todavía una consideración central a medida que los entornos de TI y OT convergen y la conectividad en el extremo aumenta. Los líderes de la empresa subrayaron la importancia de enfoques que funcionen entre arquitecturas híbridas y reflejen las realidades operativas.

La identidad, la gestión de accesos, la monitorización y la gobernanza deben aplicarse de manera coherente en sistemas en la nube, en la periferia y en las instalaciones. La resiliencia mejora cuando los operadores tienen visibilidad oportuna, vías de decisión claras y una automatización que apoya prácticas operativas establecidas.

¿Qué viene a continuación?

DTECH 2026 destacó una dirección clara para la modernización de la red; las compañías eléctricas dan prioridad a:

  • Bases de datos de confianza que abarcan TI y OT.
  • IA y capacidades habilitadas por agentes integradas en los flujos de trabajo operativos.
  • Arquitecturas seguras diseñadas para apoyar la fiabilidad, la gobernanza y la resiliencia.

Microsoft continuará la colaboración con las compañías eléctricas y socios industriales para avanzar en estas prioridades y apoyar las operaciones de la red que puedan adaptarse a la creciente complejidad, al tiempo que ofrecen resultados fiables para clientes y comunidades.

Conviertan la visión en acción

Descubran soluciones con Copilot en Energía y Recursos

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Amazon Cognito enhances client secret management with secret rotation and custom secrets

Amazon Cognito enhances client secret lifecycle management for app clients of Cognito user pools by adding client secret rotation and support for custom client secrets. Cognito helps you implement secure sign-in and access control for users, AI agents, and microservices in minutes, and a Cognito app client is a configuration that interacts with one mobile or web application that authenticates with Cognito. Previously, Cognito automatically generated all app client secrets. With this launch, in addition to the automatically generated secrets, you have the option to bring your own custom client secrets for new or existing app clients. Additionally, you can now rotate client secrets on-demand and maintain up to two active client secrets per app client.

The new client secret lifecycle management capabilities address needs for organizations with periodic credential rotation requirements, companies improving security posture, and enterprises migrating from other authentication systems to Cognito. Maintaining two active secrets per app client allows gradual transition to the new secret without application downtime.

Client secret rotation and custom client secrets are available in all AWS Regions where Amazon Cognito user pools are available. To learn more, see the Amazon Cognito Developer Guide. You can get started using the new capabilities through the AWS Management Console, AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), or AWS CloudFormation.

 

​Amazon Cognito enhances client secret lifecycle management for app clients of Cognito user pools by adding client secret rotation and support for custom client secrets. Cognito helps you implement secure sign-in and access control for users, AI agents, and microservices in minutes, and a Cognito app client is a configuration that interacts with one mobile or web application that authenticates with Cognito. Previously, Cognito automatically generated all app client secrets. With this launch, in addition to the automatically generated secrets, you have the option to bring your own custom client secrets for new or existing app clients. Additionally, you can now rotate client secrets on-demand and maintain up to two active client secrets per app client.
The new client secret lifecycle management capabilities address needs for organizations with periodic credential rotation requirements, companies improving security posture, and enterprises migrating from other authentication systems to Cognito. Maintaining two active secrets per app client allows gradual transition to the new secret without application downtime.
Client secret rotation and custom client secrets are available in all AWS Regions where Amazon Cognito user pools are available. To learn more, see the Amazon Cognito Developer Guide. You can get started using the new capabilities through the AWS Management Console, AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), or AWS CloudFormation.  

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AWS Lambda Durable Execution SDK for Java now available in Developer Preview

Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-assisted workflows, and human-in-the-loop approvals using Lambda durable functions, without implementing custom progress tracking or integrating external orchestration services.

Lambda durable functions extend Lambda’s event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The new Durable Execution SDK for Java provides an idiomatic experience for building with durable functions and is compatible with Java 17+. This preview includes steps for progress tracking, waits for efficient suspension, and durable futures for callback-based workflows.

To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for Java on GitHub. To learn more about Lambda durable functions, visit the product page.

On-demand functions are not billed for duration while paused. For pricing details, see AWS Lambda Pricing. For information about AWS Regions where Lambda durable functions are available, see the AWS Regional Services List.

 

​Today, AWS announces the developer preview of the AWS Lambda Durable Execution SDK for Java. With this SDK, developers can build resilient multi-step applications like order processing pipelines, AI-assisted workflows, and human-in-the-loop approvals using Lambda durable functions, without implementing custom progress tracking or integrating external orchestration services.
Lambda durable functions extend Lambda’s event-driven programming model with operations that checkpoint progress automatically and pause execution for up to a year when waiting on external events. The new Durable Execution SDK for Java provides an idiomatic experience for building with durable functions and is compatible with Java 17+. This preview includes steps for progress tracking, waits for efficient suspension, and durable futures for callback-based workflows.
To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for Java on GitHub. To learn more about Lambda durable functions, visit the product page.
On-demand functions are not billed for duration while paused. For pricing details, see AWS Lambda Pricing. For information about AWS Regions where Lambda durable functions are available, see the AWS Regional Services List.  

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José Luis Barceló, de ILUNION, atribuye a su equipo jurídico —y a Copilot 365— una “profunda transformación”

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​The post José Luis Barceló, de ILUNION, atribuye a su equipo jurídico —y a Copilot 365— una “profunda transformación” appeared first on Source LATAM.  

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Aurora DSQL launches new support for Tortoise, Flyway, and Prisma

Today we are announcing the release of Aurora DSQL integrations for popular ORM and database migration tools: an adapter for Tortoise (Python ORM), a dialect for Flyway (schema management tool), and CLI tools for Prisma (Node.js ORM). These integrations help developers use their preferred frameworks with Aurora DSQL while automatically handling IAM authentication and Aurora DSQL-specific compatibility requirements.

The Aurora DSQL Adapter for Tortoise enables Python developers to build applications using Tortoise without writing custom authentication code. The adapter supports both asyncpg and psycopg drivers, integrates with the Aurora DSQL Connector for Python for automatic IAM token generation, and includes compatibility patches for rich migrations. The Flyway dialect adapts Flyway for Aurora DSQL’s distributed architecture by automatically handling Aurora DSQL-specific behaviors such as IAM-based authentication. The Prisma CLI tools help Node.js developers validate their Prisma schemas for Aurora DSQL compatibility and generate Aurora DSQL-compatible migrations, streamlining the path from development to production.

To get started, visit the GitHub repositories for Tortoise ORM, Flyway, and Prisma. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.

 

​Today we are announcing the release of Aurora DSQL integrations for popular ORM and database migration tools: an adapter for Tortoise (Python ORM), a dialect for Flyway (schema management tool), and CLI tools for Prisma (Node.js ORM). These integrations help developers use their preferred frameworks with Aurora DSQL while automatically handling IAM authentication and Aurora DSQL-specific compatibility requirements. The Aurora DSQL Adapter for Tortoise enables Python developers to build applications using Tortoise without writing custom authentication code. The adapter supports both asyncpg and psycopg drivers, integrates with the Aurora DSQL Connector for Python for automatic IAM token generation, and includes compatibility patches for rich migrations. The Flyway dialect adapts Flyway for Aurora DSQL’s distributed architecture by automatically handling Aurora DSQL-specific behaviors such as IAM-based authentication. The Prisma CLI tools help Node.js developers validate their Prisma schemas for Aurora DSQL compatibility and generate Aurora DSQL-compatible migrations, streamlining the path from development to production. To get started, visit the GitHub repositories for Tortoise ORM, Flyway, and Prisma. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.  

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Aurora DSQL launches new integrations for Visual Studio Code SQLTools and DBeaver

Today we are announcing the release of the Aurora DSQL Driver for SQLTools and the Aurora DSQL Plugin for DBeaver Community Edition. These integrations allow customers to leverage popular database tools to run queries against Aurora DSQL clusters, explore database schemas, and manage their data. Both integrations simplify database connectivity by automatically handling IAM authentication and transparently managing access tokens, eliminating the need to write token generation code or manually supply IAM tokens.

The SQLTools driver integrates Aurora DSQL with Visual Studio Code and is also available on Open VSX Registry for use with VS Code-compatible editors such as Cursor and Kiro. The DBeaver plugin is built on top of the Aurora DSQL Connector for JDBC. Both integrations eliminate security risks associated with traditional user-generated passwords by using AWS IAM credentials for secure, password-free authentication.

To get started, visit the Aurora DSQL documentation page for VSCode and DBeaver. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.

 

​Today we are announcing the release of the Aurora DSQL Driver for SQLTools and the Aurora DSQL Plugin for DBeaver Community Edition. These integrations allow customers to leverage popular database tools to run queries against Aurora DSQL clusters, explore database schemas, and manage their data. Both integrations simplify database connectivity by automatically handling IAM authentication and transparently managing access tokens, eliminating the need to write token generation code or manually supply IAM tokens. The SQLTools driver integrates Aurora DSQL with Visual Studio Code and is also available on Open VSX Registry for use with VS Code-compatible editors such as Cursor and Kiro. The DBeaver plugin is built on top of the Aurora DSQL Connector for JDBC. Both integrations eliminate security risks associated with traditional user-generated passwords by using AWS IAM credentials for secure, password-free authentication. To get started, visit the Aurora DSQL documentation page for VSCode and DBeaver. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.  

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Amazon EC2 M8i and M8i-flex instances are now available in Africa (Cape Town) region

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Africa (Cape Town) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances.

M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.

To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.

 

​Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Africa (Cape Town) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances. M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.  

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Amazon EC2 R8a instances now available in the Europe (Ireland) region

Starting today, Amazon EC2 R8a instances are now available in Europe (Ireland) region. These instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances.

R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications.

Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances.

To get started, sign in to the AWS Management Console. For more information about the new instances, visit the Amazon EC2 R8a instance page.

 

​Starting today, Amazon EC2 R8a instances are now available in Europe (Ireland) region. These instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances. R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the Amazon EC2 R8a instance page.  

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Amazon Location Service introduces LLM Context as a Kiro power and Claude Code plugin to improve AI performance

Today, Amazon Location launched curated AI Agent context as a Kiro power, Claude Code plugin, and agent skill in the open Agent Skills format, usable by any compatible agent. Developers can use this context with generative AI tools such as Kiro, Claude Code, and Cursor to improve code accuracy, accelerate feature implementation, and reduce iteration time when adding Amazon Location-enabled capabilities to their applications. Amazon Location Service is a mapping service that offers geospatial data and location functionality such as maps, places search and geocoding, route planning, device tracking, and geofencing.

Once loaded by AI development tools, the curated Amazon Location context accelerates development of common location-based solutions such as address entry forms for delivery applications, map display, nearest-store lookup, and route visualization. The context includes pre-validated implementation patterns and step-by-step instructions for these use cases, allowing developers to focus on application-specific logic rather than API integration details.

Amazon Location Service is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Malaysia), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America (São Paulo), and AWS GovCloud (US-West).

To get started, download and install the context to your agent of choice from the amazon-location-agent-context repository on GitHub, or learn more about using AI and LLMs to accelerate development with Amazon Location Service.

 

​Today, Amazon Location launched curated AI Agent context as a Kiro power, Claude Code plugin, and agent skill in the open Agent Skills format, usable by any compatible agent. Developers can use this context with generative AI tools such as Kiro, Claude Code, and Cursor to improve code accuracy, accelerate feature implementation, and reduce iteration time when adding Amazon Location-enabled capabilities to their applications. Amazon Location Service is a mapping service that offers geospatial data and location functionality such as maps, places search and geocoding, route planning, device tracking, and geofencing.
Once loaded by AI development tools, the curated Amazon Location context accelerates development of common location-based solutions such as address entry forms for delivery applications, map display, nearest-store lookup, and route visualization. The context includes pre-validated implementation patterns and step-by-step instructions for these use cases, allowing developers to focus on application-specific logic rather than API integration details.
Amazon Location Service is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Malaysia), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America (São Paulo), and AWS GovCloud (US-West).
To get started, download and install the context to your agent of choice from the amazon-location-agent-context repository on GitHub, or learn more about using AI and LLMs to accelerate development with Amazon Location Service.