Amazon Elastic Container Service (Amazon ECS) now provides real-time service deployment observability in the Amazon ECS Console for native Linear, Canary, and Blue/Green deployment strategies. With this launch, deployment monitoring and troubleshooting come together in one place in the console, so you can track deployment progress, monitor health, and diagnose failures without switching between tools.
Real-time service deployment observability includes a live deployment timeline that narrates each service deployment as it happens, showing every deployment phase, service events, and task launch and termination progress, always reflecting the current state. As a deployment moves forward, you can follow the traffic shift distribution across your source and target revisions and see the current lifecycle stage at a glance, whether it is scaling up green tasks, waiting on a lifecycle hook, or sitting through bake time. Deployment health signals that you would otherwise gather from separate tools now sit alongside the timeline: circuit breaker status with live task failure and threshold tracking, deployment alarm state, container and load-balancer health checks, and lifecycle hook status. When something goes wrong, failed tasks surface right in the timeline with diagnostic context and deep links to services such as AWS CloudTrail, so you can pinpoint the root cause and act on it quickly.
These capabilities are available at no additional charge in all AWS commercial Regions, and AWS GovCloud (US) Regions for all Amazon ECS services using the Amazon ECS native Linear, Canary, and Blue/Green deployment types. To get started, navigate to any Amazon ECS service in the Amazon ECS Console and select the Deployments tab.
Amazon Elastic Container Service (Amazon ECS) now provides real-time service deployment observability in the Amazon ECS Console for native Linear, Canary, and Blue/Green deployment strategies. With this launch, deployment monitoring and troubleshooting come together in one place in the console, so you can track deployment progress, monitor health, and diagnose failures without switching between tools.
Real-time service deployment observability includes a live deployment timeline that narrates each service deployment as it happens, showing every deployment phase, service events, and task launch and termination progress, always reflecting the current state. As a deployment moves forward, you can follow the traffic shift distribution across your source and target revisions and see the current lifecycle stage at a glance, whether it is scaling up green tasks, waiting on a lifecycle hook, or sitting through bake time. Deployment health signals that you would otherwise gather from separate tools now sit alongside the timeline: circuit breaker status with live task failure and threshold tracking, deployment alarm state, container and load-balancer health checks, and lifecycle hook status. When something goes wrong, failed tasks surface right in the timeline with diagnostic context and deep links to services such as AWS CloudTrail, so you can pinpoint the root cause and act on it quickly.
These capabilities are available at no additional charge in all AWS commercial Regions, and AWS GovCloud (US) Regions for all Amazon ECS services using the Amazon ECS native Linear, Canary, and Blue/Green deployment types. To get started, navigate to any Amazon ECS service in the Amazon ECS Console and select the Deployments tab.
The Amazon Elastic VMware Service (EVS) service is now in scope for FedRAMP Class C (formerly Moderate baseline) in all United States Regions.
The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon EVS lets you run the latest VMware Cloud Foundation (VCF) software directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances. You can set up a complete VCF environment in just a few hours, enabling rapid workload migration to AWS to help you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center.
The Amazon Elastic VMware Service (EVS) service is now in scope for FedRAMP Class C (formerly Moderate baseline) in all United States Regions.
The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon EVS lets you run the latest VMware Cloud Foundation (VCF) software directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances. You can set up a complete VCF environment in just a few hours, enabling rapid workload migration to AWS to help you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center.
To learn more, visit the FedRAMP AWS services in scope page. To learn more about Amazon EVS, visit the product detail page and user guide.
Por: Juan Lavista Ferres, científico de datos en jefe, Microsoft.
Hoy hemos publicado nuestro más reciente Informe Global de Difusión de IA (Global AI Diffusion Report). La adopción global de IA siguió en aumento en el segundo trimestre de 2026. En junio, el uso de IA representaba el 18,8% de la población en edad laboral mundial, un aumento de alrededor de un 1% respecto al primer trimestre de este año. El crecimiento fue generalizado: casi todas las economías vieron un aumento en su uso.
Cabe destacar que los Emiratos Árabes Unidos (73,3%) y Singapur (64,3%) se mantienen en el liderato la clasificación. Corea del Sur volvió a experimentar el mayor cambio absoluto, con un aumento de 3,5 puntos porcentuales. Arabia Saudita subió cinco puestos, del 30º al 25º, el mayor aumento en el ranking. Japón registró el mayor cambio relativo, con un crecimiento de 2,2 puntos porcentuales, o alrededor de un 10% respecto a su uso en el primer trimestre, que fue del 22,5%. A nivel mundial, el trimestre trajo una ampliación continua de la brecha de IA entre el Norte y el Sur Global, con un uso ahora del 28,8% en el Norte y del 16,2% en el Sur.
Para seguir todas estas tendencias, seguimos con la medición de la adopción de la IA como la proporción de personas en todo el mundo de entre 15 y 64 años que han utilizado un producto de IA generativa durante el periodo informado. Esta medida se deriva de datos agregados y anonimizados de telemetría de Microsoft y se ajusta para reflejar diferencias en cuota de mercado de sistemas operativos y dispositivos, penetración de internet y población. Más detalles sobre la metodología están disponibles en nuestro documento técnico de adopción de IA.
Ninguna métrica es perfecta, y esta no es una excepción. A través del Microsoft AI Economy Institute, seguimos con el perfeccionamiento de cómo medimos la adopción de la IA a nivel global, incluido cómo varía la adopción entre países en formas en que avanza mejor en prioridades como el descubrimiento científico y el aumento de productividad. Para este informe, confiamos en la medida más sólida a nivel nacional disponible hoy en día. En el último año, ha habido un aumento significativo de nuevas herramientas y modelos de IA. Para nuestro próximo informe, ampliaremos nuestra medición para incluir el uso de estas nuevas herramientas y esperamos que esta actualización aumente la cuota de usuarios de IA en casi todas las economías, con aumentos mayores proyectados en China.
Además de nuestra comparación de la adopción de la IA entre el Norte Global y el Sur Global, también encontramos diferencias importantes en cómo se utiliza la IA. A través de la utilización de los conocimientos de uso de Microsoft Copilot para consumidores, examinamos estas diferencias. La diferencia más notable es una mayor cuota de uso de educación y aprendizaje en el Sur Global.
Este informe también incluye una discusión sustantiva sobre modelos de IA de peso abierto. El uso de modelos de IA de peso abierto es cada vez más visible gracias al uso de la IA por interfaces de programación de aplicaciones (API, por sus siglas en inglés), donde los modelos abiertos han capturado una cuota creciente del volumen de tokens. Este cambio podría beneficiar en especial al Sur Global, al reducir los costes de acceso y permitir la adaptación a los idiomas y necesidades locales, aunque persisten barreras como infraestructuras, conectividad y habilidades.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the South America (São Paulo) region. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances.
X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.
To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the South America (São Paulo) region. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances.
X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.
To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.
AWS Continuum for penetration testing is a frontier agent that proactively secures applications throughout the development lifecycle by offering on-demand, customized penetration testing with real exploitability testing. Developers and security teams can now test login credentials and receive suggested domains before a penetration test runs. This makes it easier to configure an accurate network scope from the start, reducing misconfiguration and wasted test cycles.
Previously, identifying all the URLs your application reaches required manual effort, and authentication failures were only discovered after a full test cycle completed, costing time and resources. With this launch, when you add login credentials during test configuration, AWS Continuum authenticates into your application exactly as a real user would, capturing every accessible domain reached during login and surfacing them as in-scope URL suggestions. You can review accessible domains, validate credentials, and confirm the agent covers the right endpoints, all before the real test begins. Accessible domains are returned regardless of whether the credential test succeeds, fails, or times out. You can learn more about this feature in our updated documentaiton.
This capability is available in all regions where AWS Continuum for penetration testing is available and is detailed on the AWS Continuum product page.
AWS Continuum for penetration testing is a frontier agent that proactively secures applications throughout the development lifecycle by offering on-demand, customized penetration testing with real exploitability testing. Developers and security teams can now test login credentials and receive suggested domains before a penetration test runs. This makes it easier to configure an accurate network scope from the start, reducing misconfiguration and wasted test cycles.
Previously, identifying all the URLs your application reaches required manual effort, and authentication failures were only discovered after a full test cycle completed, costing time and resources. With this launch, when you add login credentials during test configuration, AWS Continuum authenticates into your application exactly as a real user would, capturing every accessible domain reached during login and surfacing them as in-scope URL suggestions. You can review accessible domains, validate credentials, and confirm the agent covers the right endpoints, all before the real test begins. Accessible domains are returned regardless of whether the credential test succeeds, fails, or times out. You can learn more about this feature in our updated documentaiton.
This capability is available in all regions where AWS Continuum for penetration testing is available and is detailed on the AWS Continuum product page.
The next generation of AWS Resilience Hub is a central location in the AWS that helps platform engineering and site reliability teams assess and strengthen the resilience of their workloads running on AWS. It provides automated dependency discovery, generative AI-powered failure mode analysis, modular resilience policies, resilience testing, and organization-wide resilience posture reporting. Today, AWS Resilience Hub adds three new capabilities: EKS labels support for service input sources, dependency insights, and resilience policy sharing through AWS Organizations.
EKS labels support for service input sources. Resilience Hub now supports EKS labels within a namespace as a service input source, allowing customers to use their existing Kubernetes labeling conventions to scope exactly which resources Resilience Hub discovers and uses during failure mode analysis. This ensures assessments stay aligned with how teams organize their EKS workloads.
Dependency insights. Customers who enable dependency discovery can now generate dependency insights, a new generative AI-powered capability that analyzes discovered application dependencies and highlights meaningful patterns. Dependency insights surfaces new dependencies, identifies cross-Region dependencies, and flags unusual usage patterns. This helps teams accelerate dependency analysis and identify potential new risks.
Resilience policy sharing through AWS Organizations. Resilience Hub now supports sharing resilience policies through AWS Organizations, enabling central teams to build and manage policies that can be applied across multiple accounts. This provides organization-wide observability into which services are using each policy, making it easier to monitor adoption and ensure consistent resilience posture across the organization.
The next generation of AWS Resilience Hub is a central location in the AWS that helps platform engineering and site reliability teams assess and strengthen the resilience of their workloads running on AWS. It provides automated dependency discovery, generative AI-powered failure mode analysis, modular resilience policies, resilience testing, and organization-wide resilience posture reporting. Today, AWS Resilience Hub adds three new capabilities: EKS labels support for service input sources, dependency insights, and resilience policy sharing through AWS Organizations.
EKS labels support for service input sources. Resilience Hub now supports EKS labels within a namespace as a service input source, allowing customers to use their existing Kubernetes labeling conventions to scope exactly which resources Resilience Hub discovers and uses during failure mode analysis. This ensures assessments stay aligned with how teams organize their EKS workloads.
Dependency insights. Customers who enable dependency discovery can now generate dependency insights, a new generative AI-powered capability that analyzes discovered application dependencies and highlights meaningful patterns. Dependency insights surfaces new dependencies, identifies cross-Region dependencies, and flags unusual usage patterns. This helps teams accelerate dependency analysis and identify potential new risks.
Resilience policy sharing through AWS Organizations. Resilience Hub now supports sharing resilience policies through AWS Organizations, enabling central teams to build and manage policies that can be applied across multiple accounts. This provides organization-wide observability into which services are using each policy, making it easier to monitor adoption and ensure consistent resilience posture across the organization.
To get started, visit the AWS console. To learn more, see the product page or visit the documentation.
Amazon Elastic Container Service Express Mode now supports specifying ARM64 as the CPU architecture for your service, making it easy to deploy ARM-based container images on AWS Graviton-powered compute and benefit from up to 40% better price-performance compared to x86-based instances.
Amazon ECS Express Mode makes it easy to rapidly launch containerized applications, including web applications and APIs, by orchestrating and managing the cloud architecture for your application. You provide your container image, and ECS Express Mode handles the rest, configuring networking, load balancing, auto scaling, and deployments, and providing your application with an auto-generated URL. With ARM64 architecture support, you can choose the compute architecture that fits your workload, whether you’re optimizing for cost with Graviton, matching your existing fleet, or deploying images built natively for ARM.
You can configure the CPU architecture for new and existing Amazon ECS Express Mode services using the AWS Management Console, AWS CLI, AWS SDKs, and infrastructure as code (IaC) tools. This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more, see the ECS Express Mode documentation.
Amazon Elastic Container Service Express Mode now supports specifying ARM64 as the CPU architecture for your service, making it easy to deploy ARM-based container images on AWS Graviton-powered compute and benefit from up to 40% better price-performance compared to x86-based instances.
Amazon ECS Express Mode makes it easy to rapidly launch containerized applications, including web applications and APIs, by orchestrating and managing the cloud architecture for your application. You provide your container image, and ECS Express Mode handles the rest, configuring networking, load balancing, auto scaling, and deployments, and providing your application with an auto-generated URL. With ARM64 architecture support, you can choose the compute architecture that fits your workload, whether you’re optimizing for cost with Graviton, matching your existing fleet, or deploying images built natively for ARM.
You can configure the CPU architecture for new and existing Amazon ECS Express Mode services using the AWS Management Console, AWS CLI, AWS SDKs, and infrastructure as code (IaC) tools. This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more, see the ECS Express Mode documentation.
Amazon Bedrock continues to expand its open weight model portfolio with the same security and governance that customers rely on. Today, Kimi K3 from Moonshot AI is generally available on Amazon Bedrock, giving you a powerful new option for coding and knowledge work.
According to Moonshot AI, Kimi K3 is its most capable model and the first open model to reach 2.8 trillion parameters. It combines native vision capabilities with a 1-million-token context window, making it well suited to long-running coding sessions across large repositories, multi-document analysis including scanned pages and screenshots, and extended agent workflows. Moonshot AI reports an approximate 2.5x improvement in scaling efficiency over Kimi K2. On Amazon Bedrock, Kimi K3 runs within the same security boundary as proprietary models, and the same controls for access, encryption, and auditing across your model portfolio. Kimi K3 is the first open weight model on Amazon Bedrock to support explicit prompt caching, helping reduce latency and input costs when reusing context across model calls.
Amazon Bedrock continues to expand its open weight model portfolio with the same security and governance that customers rely on. Today, Kimi K3 from Moonshot AI is generally available on Amazon Bedrock, giving you a powerful new option for coding and knowledge work.
According to Moonshot AI, Kimi K3 is its most capable model and the first open model to reach 2.8 trillion parameters. It combines native vision capabilities with a 1-million-token context window, making it well suited to long-running coding sessions across large repositories, multi-document analysis including scanned pages and screenshots, and extended agent workflows. Moonshot AI reports an approximate 2.5x improvement in scaling efficiency over Kimi K2. On Amazon Bedrock, Kimi K3 runs within the same security boundary as proprietary models, and the same controls for access, encryption, and auditing across your model portfolio. Kimi K3 is the first open weight model on Amazon Bedrock to support explicit prompt caching, helping reduce latency and input costs when reusing context across model calls.
Kimi K3 is available in all AWS Regions where Amazon Bedrock is available through cross-Region inferencing. To get started, visit the Amazon Bedrock Console. To learn more, see the Amazon Bedrock documentation and read the launch blog post.
Cuando una investigadora que se trasladaba a Francia necesitaba una cuenta bancaria francesa antes de poder comenzar su nuevo trabajo, Welcount ayudó a verificar su información y abrir una cuenta en menos de 24 horas. Es un ejemplo de un desafío al que se enfrentan muchos recién llegados al llegar a un nuevo país: acceder a servicios financieros básicos sin documentación local o historial financiero establecido.
Para el fundador y CEO de Welcount, Rooh Savar, ese desafío es personal. Tras llegar a Francia como refugiado, experimentó de primera mano lo difícil que puede ser acceder a los servicios financieros necesarios para recibir un salario, asegurar una vivienda y empezar a construir una vida en un nuevo país.
Con el apoyo de Microsoft for Startups, Welcount ha construido su plataforma sobre Microsoft Azure y utiliza IA para ayudar a superar esas barreras. Su trayectoria ofrece lecciones para otros fundadores que desarrollan tecnología para clientes a la que los sistemas existentes quizá no han sido diseñados para servir.
Construir alrededor de una barrera real para el cliente
Savar fundó Welcount para crear una vía más accesible hacia el sistema financiero para las personas que llegan a un nuevo país. Hoy en día, la plataforma atiende a profesionales internacionales, estudiantes, investigadores, migrantes, refugiados y solicitantes de asilo.
Aunque las circunstancias de cada cliente son diferentes, el reto subyacente suele ser el mismo: navegar por un sistema financiero que no fue diseñado con los recién llegados en mente. Welcount se centra en eliminar esas barreras para que puedan acceder con mayor facilidad a las herramientas financieras que necesitan para empezar a trabajar, conseguir vivienda, recibir pagos y construir sus vidas en un nuevo país.
Construir innovación y confianza juntos
Construir una plataforma financiera para los recién llegados requiere seguridad, cumplimiento, verificación de identidad y escalabilidad, junto con una sólida experiencia para el cliente.
Welcount eligió Microsoft Azure como base para su plataforma, para apoyar sus capacidades de incorporación, verificación de identidad e IA. La relación de la empresa con Microsoft se amplió gracias a la participación en Microsoft GenAI Studio en Station F, donde el equipo exploró nuevas maneras de incorporar la IA generativa en experiencias de atención al cliente y operaciones internas.
Hoy en día, Welcount utiliza IA en flujos de trabajo de cumplimiento, verificación de identidad, soporte al cliente e innovación de productos.
Microsoft no solo proporcionó infraestructura. A través de Azure, Microsoft for Startups y Gen AI Studio, tuvimos acceso a tecnología, experiencia y una comunidad que nos ayudó a acelerar nuestra visión.
Rooh Savar, fundador y CEO, Welcount
Figura 1. La arquitectura basada en Azure de Welcount soporta su plataforma de servicios financieros impulsada por IA.
Welcount también colabora con Visa para la infraestructura de pagos y Okali, una empresa de Crédit Agricole, para capacidades de banca como servicio. La empresa ha colaborado de manera estrecha con reguladores franceses, incluida la Autoridad de Supervisión y Resolución Prudencial (ACPR, por sus silgas en inglés), para garantizar que sus procesos de incorporación y verificación de identidad cumplan con los requisitos de una entidad financiera regulada.
Utilizar la IA para resolver el siguiente problema del cliente
Abrir una cuenta bancaria es solo el principio. Los recién llegados también pueden necesitar comprender normas bancarias desconocidas, comisiones, hábitos de gasto y productos financieros.
Para ayudar a afrontar este desafío, Welcount desarrolló su AI Expense Companion. Construida con capacidades de Azure AI, la herramienta analiza patrones de gasto y ofrece orientación personalizada diseñada para ayudar a los usuarios a tomar decisiones informadas desde el primer día.
La plataforma admite múltiples idiomas y tiene en cuenta las diferencias culturales, para ofrecer recomendaciones adaptadas a las circunstancias de cada usuario mientras se adaptan a un nuevo entorno financiero.
Para los fundadores, este enfoque ofrece una lección útil: resolver un punto de dolor del cliente puede revelar la próxima oportunidad para crear valor.
Diseñar para los clientes puede pasar por alto los sistemas existentes
El enfoque de Welcount en la accesibilidad también se extiende a refugiados y solicitantes de asilo.
Muchas instituciones financieras tradicionales dependen de procesos de verificación de identidad basados en pasaportes nacionales y documentos de identidad emitidos por el gobierno. Los refugiados y solicitantes de asilo pueden no tener acceso a esos documentos, lo que crea otra barrera para los servicios financieros.
En colaboración con el Alto Comisionado de las Naciones Unidas para los Refugiados (ACNUR, por sus siglas en inglés), Welcount ha desarrollado capacidades especializadas de verificación de identidad que apoyan a refugiados y solicitantes de asilo por medio de la documentación emitida por las Naciones Unidas. Este enfoque ayuda a más personas a acceder a las herramientas financieras necesarias para trabajar, alquilar viviendas, recibir pagos y reconstruir sus vidas.
Ampliación de la inclusión financiera en toda Europa
Dentro de la cohorte de GenAI, Welcount es en verdad muy única y se diferencia en varios aspectos. Creo que lo que en realidad hace especial a esta empresa es la combinación de IA de vanguardia aplicada a un problema que afecta a las personas a diario, sin muchas soluciones alternativas. En Station F, nos enorgullece ser el hogar de fundadores de 70 países diferentes y hemos visto de primera mano las dificultades para obtener una cuenta bancaria. Este es justo el tipo de solución que buscamos apoyar en el campus.
Roxanne Varza, directora, Station F
De cara al futuro, Welcount planea seguir expandiéndose por Francia y Europa, invertir en una mayor personalización de la IA, mejores experiencias de incorporación y un apoyo más amplio a trabajadores internacionales, estudiantes, refugiados y otros recién llegados. El objetivo de la empresa es ayudar a más de un millón de usuarios a acceder a servicios financieros para 2031.
Construir alrededor de una barrera específica para el cliente. Empiecen con un problema definido de manera clara y construyan la tecnología en torno a su abordaje.
Tratar la confianza como parte del producto. En las industrias reguladas, la experiencia del cliente, la seguridad, la verificación de identidad y el cumplimiento deben evolucionar juntos.
Mirar más allá del primer problema que resuelvan. Atender una necesidad del cliente puede revelar oportunidades para crear valor adicional.
Construyan lo que viene con Microsoft for Startups
Welcount es un ejemplo de cómo los fundadores utilizan Azure e IA para abordar desafíos reales de los clientes mientras construyen para escalar.
Microsoft for Startups ayuda a startups en fase inicial a construir rápido, escalar de manera inteligente y vender más gracias a créditos de startup, tecnologías de IA, orientación técnica y oportunidades de salida al mercado. Soliciten Microsoft for Startups hoy mismo.
The post Construir una fintech para un mayor acceso financiero: Cómo Welcount utiliza la IA para atender a más clientes appeared first on Source LATAM.
AWS RTB Fabric now supports configurable Availability Zone (AZ) affinity for responder gateways. With this capability, you can configure how your partners connect to your responder gateway: either in their own Availability Zone or to any Availability Zone that the gateway spans. This launch helps advertising technology (AdTech) companies use their infrastructure more efficiently—with no extra charges on RTB Fabric.
Demand-side platforms (DSPs) and supply-side platforms (SSPs) run their bidding systems across multiple Availability Zones. Previously, AWS RTB Fabric sent each request to available gateway capacity in the requester’s own Availability Zone (AZ), so capacity in other AZs could go unused. Now you can set a client routing policy to control this: prefer the requester’s own AZ to avoid added latency of crossing a boundary, or use every AZ that the responder gateway spans to give each requester access to more gateway capacity. Configurable Availability Zone affinity is available in all AWS Regions where AWS RTB Fabric is available. See the AWS RTB Fabric User Guide for fleet requirements before enabling.
AWS RTB Fabric helps you connect with your AdTech partners such as Amazon Ads, GumGum, Kargo, MobileFuse, Sovrn, TripleLift, Viant, Yieldmo, and more in three steps while delivering single-digit millisecond latency through a private, high-performance network environment. RTB Fabric reduces standard cloud networking costs by up to 80% and does not require upfront commitments. AWS RTB Fabric is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). See the AWS RTB Fabric Product Page to learn more.
AWS RTB Fabric now supports configurable Availability Zone (AZ) affinity for responder gateways. With this capability, you can configure how your partners connect to your responder gateway: either in their own Availability Zone or to any Availability Zone that the gateway spans. This launch helps advertising technology (AdTech) companies use their infrastructure more efficiently—with no extra charges on RTB Fabric.
Demand-side platforms (DSPs) and supply-side platforms (SSPs) run their bidding systems across multiple Availability Zones. Previously, AWS RTB Fabric sent each request to available gateway capacity in the requester’s own Availability Zone (AZ), so capacity in other AZs could go unused. Now you can set a client routing policy to control this: prefer the requester’s own AZ to avoid added latency of crossing a boundary, or use every AZ that the responder gateway spans to give each requester access to more gateway capacity. Configurable Availability Zone affinity is available in all AWS Regions where AWS RTB Fabric is available. See the AWS RTB Fabric User Guide for fleet requirements before enabling.
AWS RTB Fabric helps you connect with your AdTech partners such as Amazon Ads, GumGum, Kargo, MobileFuse, Sovrn, TripleLift, Viant, Yieldmo, and more in three steps while delivering single-digit millisecond latency through a private, high-performance network environment. RTB Fabric reduces standard cloud networking costs by up to 80% and does not require upfront commitments. AWS RTB Fabric is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). See the AWS RTB Fabric Product Page to learn more.
