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Amazon ECS Managed Instances now integrates with Amazon EC2 Capacity Reservations

Amazon Elastic Container Service (Amazon ECS) Managed Instances now integrates with Amazon EC2 Capacity Reservations, enabling you to leverage your reserved capacity for predictable workload availability, while ECS handles all infrastructure management. This integration helps you balance reliable capacity scaling with cost efficiency, helping achieve high availability for mission‑critical workloads.

Amazon ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements, and continuously optimize task placement to reduce infrastructure costs. With today’s launch, you can configure your ECS Managed Instances capacity providers to use capacity reservations by setting the capacityOptionType parameter to reserved, in addition to the existing spot and on-demand options. You can also specify reservation preferences to optimize cost and availability: use reservations-only to launch EC2 instances exclusively in reserved capacity for maximum predictability, reservations-first to prefer reservations while maintaining flexibility to fall back to on-demand capacity when needed, or reservations-excluded to prevent your capacity provider from using reservations altogether.

To get started, you can use the AWS Management Console, AWS CLI, AWS CloudFormation, or AWS SDKs to configure your ECS Managed Instances capacity provider by choosing capacityOptionType=reserved and providing a capacity reservation group and reservation strategy. This feature is now available in all AWS Regions. For more details, refer to the documentation.

 

​Amazon Elastic Container Service (Amazon ECS) Managed Instances now integrates with Amazon EC2 Capacity Reservations, enabling you to leverage your reserved capacity for predictable workload availability, while ECS handles all infrastructure management. This integration helps you balance reliable capacity scaling with cost efficiency, helping achieve high availability for mission‑critical workloads. Amazon ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements, and continuously optimize task placement to reduce infrastructure costs. With today’s launch, you can configure your ECS Managed Instances capacity providers to use capacity reservations by setting the capacityOptionType parameter to reserved, in addition to the existing spot and on-demand options. You can also specify reservation preferences to optimize cost and availability: use reservations-only to launch EC2 instances exclusively in reserved capacity for maximum predictability, reservations-first to prefer reservations while maintaining flexibility to fall back to on-demand capacity when needed, or reservations-excluded to prevent your capacity provider from using reservations altogether. To get started, you can use the AWS Management Console, AWS CLI, AWS CloudFormation, or AWS SDKs to configure your ECS Managed Instances capacity provider by choosing capacityOptionType=reserved and providing a capacity reservation group and reservation strategy. This feature is now available in all AWS Regions. For more details, refer to the documentation.  

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AWS Marketplace now supports multiple purchases of SaaS and Professional Services products

AWS Marketplace now supports Concurrent Agreements for SaaS and Professional Services products, enabling buyers to make multiple purchases for the same product within a single AWS account. Previously, buyers could only maintain one active agreement per product per AWS account, requiring sellers to use workarounds to support expansion deals. Concurrent Agreements removes this constraint, allowing different business units to procure independently with their own negotiated terms and pricing.

Both buyers and sellers benefit from the flexibility Concurrent Agreements provides. Buyers can accept multiple offers for the same product without disrupting existing agreements, supporting multi-team procurement within centralized AWS accounts, mid-term expansions, and repeat purchases. Sellers can close multi-business unit deals that couldn’t happen before, transact expansions immediately instead of waiting for renewal cycles, and eliminate the operational overhead of managing workarounds. 

Concurrent Agreements is enabled by default for all Professional Services listings starting today, with no seller action required. For SaaS listings, sellers must update their AWS Marketplace integration to handle multiple active subscriptions, including updating subscription notifications to use EventBridge and updating entitlement and metering APIs. Starting June 1, 2026, support for Concurrent Agreements will be required for new SaaS products. Sellers who have completed the integration work can opt in to enable Concurrent Agreements for their SaaS products now. 

This capability is available in all AWS Regions where AWS Marketplace is supported. Concurrent Agreements purchasing is available on SaaS products where sellers have completed the integration, and is enabled by default for all Professional Services listings. To learn more about enabling Concurrent Agreements as a seller of SaaS products, review the Concurrent Agreements integration lab.

 

​AWS Marketplace now supports Concurrent Agreements for SaaS and Professional Services products, enabling buyers to make multiple purchases for the same product within a single AWS account. Previously, buyers could only maintain one active agreement per product per AWS account, requiring sellers to use workarounds to support expansion deals. Concurrent Agreements removes this constraint, allowing different business units to procure independently with their own negotiated terms and pricing.
Both buyers and sellers benefit from the flexibility Concurrent Agreements provides. Buyers can accept multiple offers for the same product without disrupting existing agreements, supporting multi-team procurement within centralized AWS accounts, mid-term expansions, and repeat purchases. Sellers can close multi-business unit deals that couldn’t happen before, transact expansions immediately instead of waiting for renewal cycles, and eliminate the operational overhead of managing workarounds. 
Concurrent Agreements is enabled by default for all Professional Services listings starting today, with no seller action required. For SaaS listings, sellers must update their AWS Marketplace integration to handle multiple active subscriptions, including updating subscription notifications to use EventBridge and updating entitlement and metering APIs. Starting June 1, 2026, support for Concurrent Agreements will be required for new SaaS products. Sellers who have completed the integration work can opt in to enable Concurrent Agreements for their SaaS products now. 
This capability is available in all AWS Regions where AWS Marketplace is supported. Concurrent Agreements purchasing is available on SaaS products where sellers have completed the integration, and is enabled by default for all Professional Services listings. To learn more about enabling Concurrent Agreements as a seller of SaaS products, review the Concurrent Agreements integration lab.  

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Amazon CloudWatch now provides lock contention diagnostics for Amazon RDS for PostgreSQL

Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights.

With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process.

You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon RDS for PostgreSQL clusters using the RDS console, AWS APIs, or the AWS SDK. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis.

CloudWatch Database Insights is available in all public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.

 

​Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights. With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon RDS for PostgreSQL clusters using the RDS console, AWS APIs, or the AWS SDK. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. CloudWatch Database Insights is available in all public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.  

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Introducing Amazon EC2 I8g.metal-48xl instances

AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g.metal-48xl instances. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads.

Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional and real-time databases, including MySQL, PostgreSQL, and NoSQL solutions like ClickHouse, Apache Druid, and MongoDB. They’re also optimized for real-time analytics platforms such as Apache Spark. I8g instances are available in 11 different sizes with up to 48xlarge (including 2 metal sizes), 1,536 GiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.

 

​AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g.metal-48xl instances. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional and real-time databases, including MySQL, PostgreSQL, and NoSQL solutions like ClickHouse, Apache Druid, and MongoDB. They’re also optimized for real-time analytics platforms such as Apache Spark. I8g instances are available in 11 different sizes with up to 48xlarge (including 2 metal sizes), 1,536 GiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.  

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Amazon EC2 M8i and M8i-flex instances are available in additional regions

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in US West (N. California), Europe (Paris), Asia Pacific (Hyderabad), and South America (Sao Paulo) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i 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 US West (N. California), Europe (Paris), Asia Pacific (Hyderabad), and South America (Sao Paulo) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i 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 Connect now supports dynamic dialing mode switching for outbound campaigns

Today, AWS announces the general availability of dynamic dialing mode switching for Amazon Connect Outbound Campaigns, which allows contact center administrators to change between preview and non-preview dialing modes during active campaign execution. Previously, campaigns were locked into their initial dialing mode once started, requiring administrators to stop and restart campaigns to adjust strategies. This launch solves the problem of inflexible dialing strategies that couldn’t adapt to real-time business needs and agent availability changes.

Dynamic dialing mode switching enables contact centers to optimize agent productivity and campaign efficiency in real-time without campaign interruptions. For example, you can automatically switch from progressive dialing to preview mode when handling high-priority contacts that require additional context, then revert back when traffic returns to normal patterns. This flexibility is particularly valuable for campaigns with varying contact priorities or fluctuating agent availability throughout the day.

Dynamic dialing mode switching is available at no additional cost in all AWS Regions where Amazon Connect Outbound Campaigns is supported: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town).

To learn more, see the Amazon Connect Administrator Guide or visit the Amazon Connect website

 

​Today, AWS announces the general availability of dynamic dialing mode switching for Amazon Connect Outbound Campaigns, which allows contact center administrators to change between preview and non-preview dialing modes during active campaign execution. Previously, campaigns were locked into their initial dialing mode once started, requiring administrators to stop and restart campaigns to adjust strategies. This launch solves the problem of inflexible dialing strategies that couldn’t adapt to real-time business needs and agent availability changes.
Dynamic dialing mode switching enables contact centers to optimize agent productivity and campaign efficiency in real-time without campaign interruptions. For example, you can automatically switch from progressive dialing to preview mode when handling high-priority contacts that require additional context, then revert back when traffic returns to normal patterns. This flexibility is particularly valuable for campaigns with varying contact priorities or fluctuating agent availability throughout the day.
Dynamic dialing mode switching is available at no additional cost in all AWS Regions where Amazon Connect Outbound Campaigns is supported: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town).
To learn more, see the Amazon Connect Administrator Guide or visit the Amazon Connect website.   

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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.