Building on the Hooks Invocation Summary launched in September 2025, AWS CloudFormation Hooks now supports granular invocation details. Hook authors can supplement their Hook evaluation responses with detailed findings, finding severity, and remediation advice. The Hooks console now displays these details at the individual control level within each invocation, enabling developers to quickly identify and resolve specific Hook failures.
Customers can easily drill down from the invocation summary to see exactly which controls passed, failed, or were skipped, along with specific remediation guidance for each failure. This granular visibility eliminates guesswork when debugging Hook failures, allowing teams to pinpoint the exact control that blocked a deployment and understand how to fix it. The detailed findings accelerate troubleshooting and streamline compliance reporting by providing actionable insights at the individual control level.
The Hooks invocation summary page is available in all commercial and GovCloud (US) regions. To learn more, visit the AWS CloudFormation Hooks View Invocations documentation.
Building on the Hooks Invocation Summary launched in September 2025, AWS CloudFormation Hooks now supports granular invocation details. Hook authors can supplement their Hook evaluation responses with detailed findings, finding severity, and remediation advice. The Hooks console now displays these details at the individual control level within each invocation, enabling developers to quickly identify and resolve specific Hook failures. Customers can easily drill down from the invocation summary to see exactly which controls passed, failed, or were skipped, along with specific remediation guidance for each failure. This granular visibility eliminates guesswork when debugging Hook failures, allowing teams to pinpoint the exact control that blocked a deployment and understand how to fix it. The detailed findings accelerate troubleshooting and streamline compliance reporting by providing actionable insights at the individual control level. The Hooks invocation summary page is available in all commercial and GovCloud (US) regions. To learn more, visit the AWS CloudFormation Hooks View Invocations documentation.
Amazon Connect now provides metrics that measure completion of agent performance evaluations, improving manager productivity and evaluation consistency. Businesses can monitor if the required number of evaluations for their agents have been completed, ensuring compliance with internal policies (e.g., complete 5 evaluations per agent per month), regulatory requirements, and labor union agreements. Additionally, businesses can analyze evaluation scoring patterns across different managers, to identify opportunities to improve evaluation consistency and accuracy. These insights are available in real-time through analytics dashboards in the Connect UI, and APIs.
This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
Amazon Connect now provides metrics that measure completion of agent performance evaluations, improving manager productivity and evaluation consistency. Businesses can monitor if the required number of evaluations for their agents have been completed, ensuring compliance with internal policies (e.g., complete 5 evaluations per agent per month), regulatory requirements, and labor union agreements. Additionally, businesses can analyze evaluation scoring patterns across different managers, to identify opportunities to improve evaluation consistency and accuracy. These insights are available in real-time through analytics dashboards in the Connect UI, and APIs. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.
La adopción de Microsoft 365 Copilot incorporará 1800 agentes de IA en los próximos meses para transformar integralmente sus procesos, desde atención al cliente a la planificación de demanda y supply chain entre otros. Se propone así acelerar su crecimiento hacia 100 tiendas en 2030.
Al adoptar IA la compañía cambia la forma en que piensa, trabaja y sirve, para mejorar la vida de sus colaboradores, clientes y comunidades, en la búsqueda por crear experiencias memorables que trascienden el producto y avanzar en su propósito de alegrar corazones.
Lima, Perú — María Almenara, reconocida cadena de pastelerías fundada en 2015 que comenzó como un emprendimiento familiar en Lima; hoy cuenta con más de 500 empleados, 30 locales y una planta de producción, proyectando alcanzar 100 tiendas para 2030 con innovación como motor de expansión.
Sus fundadores, María Almenara y Carlos Armando de la Flor, sumaron trayectorias y carreras diferentes para una nueva receta: una cadena de pastelerías basada en datos y en una cultura que impulsa el crecimiento, escala con propósito y se diferencia por su capacidad de combinar lo artesanal con lo digital, manteniendo siempre el foco en la experiencia del cliente y el desarrollo del talento humano.
Hoy adoptan Microsoft 365 Copilot como herramienta oficial de inteligencia artificial, reforzando su compromiso con la eficiencia, la seguridad y la competitividad. En un contexto donde la IA redefine la forma de trabajar, María Almenara se posiciona como una Frontier Company: organizaciones que combinan el juicio humano con agentes inteligentes para escalar más rápido, innovar y crear valor sostenible.
“La inteligencia artificial está acelerando la competitividad en toda la región. Las empresas Frontier, como María Almenara, son ejemplo de cómo la innovación responsable puede impulsar eficiencia y crecimiento. Para Microsoft, es un orgullo acompañar a una compañía peruana que lidera esta transformación y demuestra que la IA es clave para el futuro del talento y la productividad”, afirmó Mario Rodriguez Rossi, Country Manager de Microsoft Perú.
“Nuestra cultura de innovación es el motor de todo. Creemos que la tecnología debe eliminar las barreras que frenan el crecimiento humano. Queremos que cada colaborador se enfoque en lo que mejor sabe hacer, mientras la IA se ocupa de la complejidad operativa. Así construimos un negocio basado en datos que nos permite crecer y desarrollar talento”, señaló Carlos Armando de la Flor, CEO de María Almenara
La adopción de Copilot permitirá a María Almenara desplegar, 1800 agentes inteligentes en los próximos meses en áreas clave como atención al cliente, planificación de demanda, supply chain y gestión humana con el objetivo de optimizar procesos operativos, anticipar necesidades del consumidor, reducir mermas, mejorar la eficiencia en la toma de decisiones y liberar el potencial de sus colaboradores para que se enfoquen en tareas de mayor valor, creatividad y servicio, consolidando a la compañía como referente en innovación en el sector gastronómico.
Acerca de Microsoft
Microsoft (Nasdaq «MSFT» @microsoft) crea plataformas y herramientas impulsadas por la IA para ofrecer soluciones innovadoras que satisfagan las necesidades cambiantes de nuestros clientes. La empresa de tecnología está comprometida con hacer que la IA esté ampliamente disponible, de manera responsable, con la misión de empoderar a cada persona y a cada organización en el planeta para lograr más.
The post María Almenara: la cadena de pastelería que se consolida como empresa Frontier combinando inteligencia artificial, propósito y talento humano appeared first on Source LATAM.
Ciudad de México, 13 de noviembre de 2025 — Microsoft presentó los hallazgos del estudio “Ciberseguridad 2025: Desafíos y estrategias en la era de la IA para grandes empresas en México”, realizado por Edelman. El estudio revela que un 65% de las empresas mexicanas perciben amenazas de ciberseguridad como un reto tangible y actual. Este dato pone de manifiesto la creciente preocupación ante los riesgos asociados a la digitalización y la sofisticación de los ataques que enfrentan las organizaciones. Sin embargo; sólo el 56% señala un involucramiento de la alta dirección en materia de ciberseguridad. Este dato evidencia la necesidad de un mayor patrocinio y compromiso ejecutivo, dado que el riesgo cibernético impacta directamente en la continuidad y reputación del negocio.
El involucramiento activo de la alta dirección es fundamental, ya que cualquier brecha o incidente en este ámbito puede repercutir directamente en la continuidad operativa y la reputación del negocio. Por ello, establecer políticas y acciones sólidas de protección digital no solo responde a un entorno de amenazas complejas, sino que también representa un factor clave para la resiliencia y el éxito empresarial.
En consecuencia, mientras las empresas buscan reforzar su resiliencia ante un entorno cada vez más desafiante, la adopción de tecnologías avanzadas se vuelve indispensable. Casi la mitad de las compañías (47%) reporta una alta a moderada dependencia de la inteligencia artificial para hacer frente o prevenir estas amenazas, donde esta se posiciona como un recurso fundamental en la estrategia de defensa, permitiendo anticipar riesgos y responder de forma más eficiente a incidentes de seguridad.
Por otro lado, las prioridades de inversión para fortalecer la protección digital destacan la seguridad en la nube, el impulso de soluciones basadas en IAy el desarrollo de capacidades de inteligencia y monitoreo avanzadas, con el objetivo de incrementar la capacidad de prevención, detección y respuesta ante amenazas emergentes.
Preparación y madurez en ciberseguridad empresarial
El nivel de preparación de las empresas mexicanas frente a los desafíos de ciberseguridad revela importantes áreas de avance y puntos de mejora. Según los especialistas de TI, solo el 38% considera que su organización está altamente preparada para hacer frente a las amenazas digitales. Adicionalmente, un 43% se percibe moderadamente preparado, lo que muestra que existe una proporción significativa de empresas que aún deben fortalecer sus capacidades para alcanzar un estado óptimo en la gestión de riesgos.
En cuanto a los ámbitos específicos de preparación, las compañías se consideran mejor posicionadas en áreas como la privacidad de datos y la gestión de identidad digital. No obstante, persisten rezagos en el desarrollo de políticas de uso de IA y en la capacitación de sus equipos, lo que representa desafíos relevantes ante la evolución del panorama de amenazas.
La implementación de estrategias formales de ciberseguridad está presente en el 67% de las empresas, evidenciando un esfuerzo por institucionalizar la protección digital. Además, el 92% de los especialistas afirma que dichas estrategias están integradas a la estrategia general de negocio, lo que refleja una alineación creciente entre la gestión de la ciberseguridad y los objetivos corporativos.
En el contexto de las grandes empresas mexicanas, el panorama de amenazas vinculadas a la IA continúa evolucionando y adquiriendo mayor complejidad. Entre los principales riesgos identificados destacan el malware y ransomware, así como las campañas de phishing, que se mantienen como amenazas predominantes asociadas al uso de IA. A estos desafíos se suma un crecimiento relevante en los riesgos derivados del uso no autorizado de herramientas de IA generativa, señalado por el 20% de las empresas, y de los deepfakes, que ya preocupan al 18% de las organizaciones. Estos datos ponen de manifiesto que las amenazas actuales resultan cada vez más complejas y difíciles de identificar mediante mecanismos tradicionales.
A pesar de este entorno desafiante, el 60% de los especialistas anticipa que la inteligencia artificial tendrá un alto impacto en las prácticas de ciberseguridad de las empresas durante los próximos 2 a 3 años. Esta percepción confirma el papel estratégico que asume la IA en la protección digital, tanto para identificar como para mitigar riesgos emergentes.
IA y agentes: del riesgo al refuerzo de la defensa
Actualmente, los agentes de inteligencia artificial, con capacidad para automatizar tareas, orquestar flujos y actuar bajo salvaguardas, desempeñan un papel fundamental en la reducción de los tiempos de investigación, la priorización de alertas, la contención de incidentes y la aplicación consistente de políticas de identidad y datos. La combinación de modelos de IA con telemetría a gran escala y controles de Zero Trust permite a las organizaciones robustecer su posición frente a amenazas cada vez más sofisticadas, como el malware polimórfico, el phishing dirigido, el abuso de herramientas generativas y los deepfakes.
“La IA no solo aumenta la velocidad y el alcance de las defensas: a través de agentes especializados, ayuda a cerrar brechas de talento, estandarizar procesos y elevar la resiliencia del negocio. El desafío ya no es ‘si’ invertir en seguridad, sino ‘cómo’ escalarla con IA y con gobernanza responsable en cada capa de la organización.” — Marcelo Felman, Director de Ciberseguridad para Microsoft Latinoamérica.
En Microsoft, reconocemos el entorno actual como una oportunidad clave para reafirmar nuestro firme compromiso con la seguridad. Para nuestra empresa, la seguridad ocupa el lugar más alto en nuestra lista de prioridades, guiando cada una de nuestras acciones y decisiones estratégicas. Bajo este enfoque, hemos desarrollado iniciativas específicas como la Secure Future Initiative. Esta iniciativa tiene el propósito de fortalecer la resiliencia de las organizaciones, fomentando tanto la preparación como la cultura de seguridad, así como la adopción de mejores prácticas para garantizar la protección efectiva de datos y operaciones críticas.
Este estudio confirma que la ciberseguridad es una prioridad creciente ante un panorama de riesgos más complejo, y que las soluciones impulsadas por IA y los agentes están acelerando la detección, la respuesta y la resiliencia operativa en las organizaciones del país.
Recomendaciones de ciberseguridad en la era de la IA:
Hacer de la Seguridad una Prioridad, gestionando el riesgo desde el nivel directivo.
Refuerza tu Higiene Digital: prioriza la protección de identidades, asegura el perímetro de tu empresa y monitorea continuamente los activos en la nube.
Fortalecer la Resiliencia digital: identifica tus vulnerabilidades, planifica con anticipación y capacítate para responder y recuperarte rápidamente ante cualquier brecha.
Invertir en las Personas, no solo en las herramientas.
Prepararse para el Futuro. Anticipar cambios, entender que no sabemos lo que no sabemos, y siempre intercambiar inteligencia de amenazas.
Hacer que la decisión más fácil, sea la correcta. En lugar de bloquear y prohibir, fomentar el uso seguro.
Para consultar el estudio completo, da clic en este enlace.
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Acerca de Microsoft
Microsoft (Nasdaq «MSFT» @microsoft) crea plataformas y herramientas impulsadas por la IA para ofrecer soluciones innovadoras que satisfagan las necesidades cambiantes de nuestros clientes. La empresa de tecnología está comprometida con hacer que la IA esté ampliamente disponible, de manera responsable, con la misión de empoderar a cada persona y a cada organización en el planeta para lograr más.
The post La IA y los agentes inteligentes marcan un punto de inflexión en la ciberseguridad de las grandes empresas en México appeared first on Source LATAM.
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.7, 16.11, 15.15, 14.20, and 13.23. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community.
This release includes the new pgcollection extension for RDS PostgreSQL versions 15.15 and above (16.11 and 17.7). This extension enhances database performance by providing an efficient way to store and manage key-value pairs within PostgreSQL functions. Collections maintain the order of entries and can store various types of PostgreSQL data, making them useful for applications that need fast, in-memory data processing. The release also includes updates to extensions, with pg_tle upgraded to version 1.5.2 and H3_PG upgraded to version 4.2.3.
You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green deployments in the Amazon RDS User Guide .
Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.7, 16.11, 15.15, 14.20, and 13.23. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release includes the new pgcollection extension for RDS PostgreSQL versions 15.15 and above (16.11 and 17.7). This extension enhances database performance by providing an efficient way to store and manage key-value pairs within PostgreSQL functions. Collections maintain the order of entries and can store various types of PostgreSQL data, making them useful for applications that need fast, in-memory data processing. The release also includes updates to extensions, with pg_tle upgraded to version 1.5.2 and H3_PG upgraded to version 4.2.3. You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green deployments in the Amazon RDS User Guide . Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.
Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6f instances powered by NVIDIA L4 GPUs are now available in Europe (Spain) and Asia Pacific (Seoul) regions. G6f instances can be used for a wide range of graphics workloads. G6f instances offer GPU partitions as small as one-eighth of a GPU with 3 GB of GPU memory giving customers the flexibility to right size their instances and drive significant cost savings compared to EC2 G6 instances with a single GPU.
Customers can use G6f instances to provision remote workstations for Media & Entertainment, Computer-Aided Engineering, for ML research, and for spatial visualization. G6f instances are available in 5 instance sizes with half, quarter, and one-eighth of a GPU per instance size, paired with third generation AMD EPYC processors offering up to 12 GB of GPU memory and 16 vCPUs.
Amazon EC2 G6f instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Stockholm, Frankfurt, London and Spain), Asia Pacific (Mumbai, Tokyo, Seoul and Sydney), Canada (Central), and South America (Sao Paulo) regions. Customers can purchase G6f instances as On-Demand Instances, Spot Instances, or as a part of Savings Plans.
Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6f instances powered by NVIDIA L4 GPUs are now available in Europe (Spain) and Asia Pacific (Seoul) regions. G6f instances can be used for a wide range of graphics workloads. G6f instances offer GPU partitions as small as one-eighth of a GPU with 3 GB of GPU memory giving customers the flexibility to right size their instances and drive significant cost savings compared to EC2 G6 instances with a single GPU. Customers can use G6f instances to provision remote workstations for Media & Entertainment, Computer-Aided Engineering, for ML research, and for spatial visualization. G6f instances are available in 5 instance sizes with half, quarter, and one-eighth of a GPU per instance size, paired with third generation AMD EPYC processors offering up to 12 GB of GPU memory and 16 vCPUs. Amazon EC2 G6f instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Stockholm, Frankfurt, London and Spain), Asia Pacific (Mumbai, Tokyo, Seoul and Sydney), Canada (Central), and South America (Sao Paulo) regions. Customers can purchase G6f instances as On-Demand Instances, Spot Instances, or as a part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs, and launch G6f instances with NVIDIA GRID driver 18.4 or later. To learn more, visit the G6 instance page.
Amazon ECS Service Connect now supports seamless communication between services residing in different AWS accounts through integration with AWS Resource Access Manager (AWS RAM). This enhancement simplifies resource sharing, reduces duplication, and promotes consistent service-to-service communication across environments for organizations with multi-account architectures.
Amazon ECS Service Connect leverages AWS Cloud Map namespaces for storing information about ECS services and tasks. To enable seamless cross-account communication between Amazon ECS Service Connect services, you can now share the underlying AWS Cloud Map namespaces using AWS RAM with individual AWS accounts, specific Organizational Units (OUs), or your entire AWS Organization. To get started, create a resource share in AWS RAM, add the namespaces you want to share, and specify the principals (accounts, OUs, or the organization) that should have access. This enables platform engineers to use the same namespace to register Amazon ECS Service Connect services residing in multiple AWS accounts, simplifying service discovery and connectivity. Application developers can then build services that rely on a consistent, shared registry without worrying about availability or synchronization across accounts. Cross-account connectivity support improves operational efficiency and makes it easier to scale Amazon ECS workloads as your organization grows by reducing duplication and streamlining access to common services.
This feature is available with both Fargate and EC2 launch modes in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions via the AWS Management Console, API, SDK, CLI, and CloudFormation. To learn more, please refer to the Amazon ECS Service Connect documentation.
Amazon ECS Service Connect now supports seamless communication between services residing in different AWS accounts through integration with AWS Resource Access Manager (AWS RAM). This enhancement simplifies resource sharing, reduces duplication, and promotes consistent service-to-service communication across environments for organizations with multi-account architectures. Amazon ECS Service Connect leverages AWS Cloud Map namespaces for storing information about ECS services and tasks. To enable seamless cross-account communication between Amazon ECS Service Connect services, you can now share the underlying AWS Cloud Map namespaces using AWS RAM with individual AWS accounts, specific Organizational Units (OUs), or your entire AWS Organization. To get started, create a resource share in AWS RAM, add the namespaces you want to share, and specify the principals (accounts, OUs, or the organization) that should have access. This enables platform engineers to use the same namespace to register Amazon ECS Service Connect services residing in multiple AWS accounts, simplifying service discovery and connectivity. Application developers can then build services that rely on a consistent, shared registry without worrying about availability or synchronization across accounts. Cross-account connectivity support improves operational efficiency and makes it easier to scale Amazon ECS workloads as your organization grows by reducing duplication and streamlining access to common services. This feature is available with both Fargate and EC2 launch modes in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions via the AWS Management Console, API, SDK, CLI, and CloudFormation. To learn more, please refer to the Amazon ECS Service Connect documentation.
Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the Europe (Stockholm) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.
U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.
Starting today, Amazon EC2 High Memory U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in the Europe (Stockholm) region. U7i-12tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-12tb instances offer 12TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.
Amazon EventBridge now supports Amazon SQS fair queues as targets, enabling you to build more responsive event-driven applications. You can now leverage SQSs improved message distribution across consumer groups and mitigate the noisy neighbor impact in multi-tenant messaging systems. This enhancement allows EventBridge to send events directly to SQS fair queues. With fair queues, multiple consumers can process messages from the same tenant at the same time, while keeping message processing times consistent across all tenants.
The Amazon EventBridge event bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. SQS fair queues automatically distribute messages fairly across consumer groups, preventing any single group from monopolizing queue resources. When combined with EventBridge’s event routing capabilities, this creates powerful patterns for building scalable, multi-tenant applications where different teams or services need equitable access to event streams.
To route events to an SQS fair queue, you can select the fair queue as a target when creating or updating EventBridge rules through the AWS Management Console, AWS CLI, or AWS SDKs. Be sure to include a MessageGroupID parameter, which can be specified with either a static value or JSON path expression.
Support for Fair Queue and FIFO targets is available in all AWS commercial and AWS GovCloud (US) Regions. For more information about EventBridge target support, see our documentation. For more information about SQS Fair Queues, see the SQS documentation.
Amazon EventBridge now supports Amazon SQS fair queues as targets, enabling you to build more responsive event-driven applications. You can now leverage SQSs improved message distribution across consumer groups and mitigate the noisy neighbor impact in multi-tenant messaging systems. This enhancement allows EventBridge to send events directly to SQS fair queues. With fair queues, multiple consumers can process messages from the same tenant at the same time, while keeping message processing times consistent across all tenants. The Amazon EventBridge event bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. SQS fair queues automatically distribute messages fairly across consumer groups, preventing any single group from monopolizing queue resources. When combined with EventBridge’s event routing capabilities, this creates powerful patterns for building scalable, multi-tenant applications where different teams or services need equitable access to event streams. To route events to an SQS fair queue, you can select the fair queue as a target when creating or updating EventBridge rules through the AWS Management Console, AWS CLI, or AWS SDKs. Be sure to include a MessageGroupID parameter, which can be specified with either a static value or JSON path expression. Support for Fair Queue and FIFO targets is available in all AWS commercial and AWS GovCloud (US) Regions. For more information about EventBridge target support, see our documentation. For more information about SQS Fair Queues, see the SQS documentation.
AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Asia Pacific (Seoul) and South America (Sao Paulo) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. 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, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB 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).
AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Asia Pacific (Seoul) and South America (Sao Paulo) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. 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, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB 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 Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.
