Amazon ECR announces ECR to ECR pull through cache, a capability that allows customers to automatically sync container images between two ECR private registries, existing across AWS regions and/or accounts. This enables customers to benefit from the reduced latency of pulling cached images in-region. With today’s release, Amazon ECR makes it easier for customers to optimize storage costs by providing a simple and reliable way to store local copies of only the images that are pulled across regions/accounts.
As customers grow, they often have container deployments spread across multiple AWS regions. Storing images within the region of deployment improves application start-up times due to lower latency of in-region pulls. To achieve this, customers have to maintain copies of all images in every region, which is not cost-effective as many of these images are not deployed. ECR to ECR pull through cache allows customers to sync images between ECR registries in a cost-effective way by caching only the images that are pulled. Customers can now push images to their primary registry and configure pull through cache rules to cache images into downstream registries. On an image pull, ECR automatically fetches the image from upstream registry, and caches it into an automatically created repository in downstream registry for future pulls. Additionally, this feature supports frequent syncs with upstream, helping keep the cached images up to date.
ECR to ECR Pull through cache is available in all AWS regions, excluding GovCloud (US) and China regions. To learn more, please visit our user guide.
Amazon ECR announces ECR to ECR pull through cache, a capability that allows customers to automatically sync container images between two ECR private registries, existing across AWS regions and/or accounts. This enables customers to benefit from the reduced latency of pulling cached images in-region. With today’s release, Amazon ECR makes it easier for customers to optimize storage costs by providing a simple and reliable way to store local copies of only the images that are pulled across regions/accounts. As customers grow, they often have container deployments spread across multiple AWS regions. Storing images within the region of deployment improves application start-up times due to lower latency of in-region pulls. To achieve this, customers have to maintain copies of all images in every region, which is not cost-effective as many of these images are not deployed. ECR to ECR pull through cache allows customers to sync images between ECR registries in a cost-effective way by caching only the images that are pulled. Customers can now push images to their primary registry and configure pull through cache rules to cache images into downstream registries. On an image pull, ECR automatically fetches the image from upstream registry, and caches it into an automatically created repository in downstream registry for future pulls. Additionally, this feature supports frequent syncs with upstream, helping keep the cached images up to date. ECR to ECR Pull through cache is available in all AWS regions, excluding GovCloud (US) and China regions. To learn more, please visit our user guide.
Today, we are excited to announce support for scratch, distroless (Debian/Ubuntu based), and Chainguard image scanning with Amazon Inspector. With the expanded support for ECR images, Amazon Inspector extends its security coverage to minimal and security-focused container bases, enabling teams to maintain robust security practices even with highly optimized container environments.
For ECR scanning, Amazon Inspector expands scanning to additional ecosystems including Go toolchain, Oracle JDK & JRE, Amazon Corretto, Apache Tomcat, Apache httpd, WordPress (core, themes, plugins), Google Puppeteer (Chrome embedding), and Node.js runtime. This enhancement helps customers identify vulnerabilities in ecosystem components and gain visibility into third party software. The same functionality is also available via the Amazon Inspector SBOM Scan API.
Additionally, Amazon Inspector now supports identifying discontinued operating systems running on Amazon EC2 instances and Amazon ECR container images. Amazon Inspector will generate a finding on resources using a discontinued operating system solely for informational purposes, aiding in the prioritization of risk mitigation strategies.
Amazon Inspector is a vulnerability management service that continually scans AWS workloads including Amazon EC2 instances, container images, and AWS Lambda functions for software vulnerabilities, code vulnerabilities, and unintended network exposure across your entire AWS organization.
Enhanced detections, and support for additional operating systems for ECR scanning is available in all commercial and AWS GovCloud (US) Regions where Amazon Inspector is available.
Today, we are excited to announce support for scratch, distroless (Debian/Ubuntu based), and Chainguard image scanning with Amazon Inspector. With the expanded support for ECR images, Amazon Inspector extends its security coverage to minimal and security-focused container bases, enabling teams to maintain robust security practices even with highly optimized container environments. For ECR scanning, Amazon Inspector expands scanning to additional ecosystems including Go toolchain, Oracle JDK & JRE, Amazon Corretto, Apache Tomcat, Apache httpd, WordPress (core, themes, plugins), Google Puppeteer (Chrome embedding), and Node.js runtime. This enhancement helps customers identify vulnerabilities in ecosystem components and gain visibility into third party software. The same functionality is also available via the Amazon Inspector SBOM Scan API. Additionally, Amazon Inspector now supports identifying discontinued operating systems running on Amazon EC2 instances and Amazon ECR container images. Amazon Inspector will generate a finding on resources using a discontinued operating system solely for informational purposes, aiding in the prioritization of risk mitigation strategies. Amazon Inspector is a vulnerability management service that continually scans AWS workloads including Amazon EC2 instances, container images, and AWS Lambda functions for software vulnerabilities, code vulnerabilities, and unintended network exposure across your entire AWS organization. Enhanced detections, and support for additional operating systems for ECR scanning is available in all commercial and AWS GovCloud (US) Regions where Amazon Inspector is available.
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Amazon Inspector free trial
AWS CloudFormation Hooks now supports three new invocation points for stacks, change sets, and AWS Cloud Control API (CCAPI) in the AWS GovCloud (US) Regions. You can now evaluate CloudFormation create/update/delete stack and change set operations, and CCAPI create/update operations. With this launch, you can standardize your proactive evaluations beyond CloudFormation resource properties by enabling safety checks that consider the entire context of a stack, a CloudFormation change set, and/or a CCAPI resource configuration.
CloudFormation Hooks also extended two new managed hooks to the AWS GovCloud (US) Regions. The managed Lambda and Guard Hook simplify your hooks authoring experience by pointing to an AWS Lambda function or an S3 bucket containing AWS CloudFormation Guard domain specific language rules. Today’s launch allows GovCloud customers and partners to leverage the new invocation points and the new managed hooks to help enforce organizational best practices easily and minimize the risk of non-compliant resources being provisioned.
With this launch, all CloudFormation Hooks’ features are available in 32 AWS regions globally: US East (Ohio, N. Virginia), US West (N. California, Oregon), Canada (Central, Calgary), Asia Pacific (Singapore, Tokyo, Seoul, Mumbai, Hong Kong, Osaka, Jakarta, Hyderabad, Malaysia, Sydney, Melbourne), Europe (Ireland, Stockholm, Frankfurt, Milan, London, Zurich, Paris, Spain), Middle East (UAE, Bahrain, Tel Aviv), South America (São Paulo), Africa (Cape Town), and the AWS GovCloud (US-East, US-West) Regions.
To get started, you can use the new Hooks console workflow within the CloudFormation console, AWS CLI, or new CloudFormation Hooks resources. To learn more, refer to Hooks User Guide.
AWS CloudFormation Hooks now supports three new invocation points for stacks, change sets, and AWS Cloud Control API (CCAPI) in the AWS GovCloud (US) Regions. You can now evaluate CloudFormation create/update/delete stack and change set operations, and CCAPI create/update operations. With this launch, you can standardize your proactive evaluations beyond CloudFormation resource properties by enabling safety checks that consider the entire context of a stack, a CloudFormation change set, and/or a CCAPI resource configuration. CloudFormation Hooks also extended two new managed hooks to the AWS GovCloud (US) Regions. The managed Lambda and Guard Hook simplify your hooks authoring experience by pointing to an AWS Lambda function or an S3 bucket containing AWS CloudFormation Guard domain specific language rules. Today’s launch allows GovCloud customers and partners to leverage the new invocation points and the new managed hooks to help enforce organizational best practices easily and minimize the risk of non-compliant resources being provisioned. With this launch, all CloudFormation Hooks’ features are available in 32 AWS regions globally: US East (Ohio, N. Virginia), US West (N. California, Oregon), Canada (Central, Calgary), Asia Pacific (Singapore, Tokyo, Seoul, Mumbai, Hong Kong, Osaka, Jakarta, Hyderabad, Malaysia, Sydney, Melbourne), Europe (Ireland, Stockholm, Frankfurt, Milan, London, Zurich, Paris, Spain), Middle East (UAE, Bahrain, Tel Aviv), South America (São Paulo), Africa (Cape Town), and the AWS GovCloud (US-East, US-West) Regions. To get started, you can use the new Hooks console workflow within the CloudFormation console, AWS CLI, or new CloudFormation Hooks resources. To learn more, refer to Hooks User Guide.
6 formas de inspirar a las futuras líderes durante el Mes de la Historia de la Mujer
Por: Equipo de educación de Microsoft.
Cada año, el 8 de marzo, comunidades de todo el mundo se reúnen para conmemorar el Día Internacional de la Mujer, para reconocer las notables contribuciones de las mujeres que han dado forma a la historia y han defendido la igualdad. En los Estados Unidos, esta celebración coincide con el Mes de la Historia de la Mujer, una oportunidad para aprender sobre las vidas de líderes como Ellen Ochoa y Malala Yousafzai, cuyas historias identificables inspiran a los estudiantes a crear cambios positivos en sus propias vidas y más allá.
Para ayudarlos a dar vida a estas historias en su salón de clases para celebrar el Mes de la Historia de la Mujer 2025, consulten nuestra lista de herramientas y recursos que ayudarán a que el aprendizaje sea más significativo y atractivo. Los estudiantes pueden explorar los triunfos de mujeres líderes fuertes en la educación de Minecraft, aprender habilidades valiosas de presentación y alfabetización informacional con los aceleradores de aprendizaje, y descubrir las contribuciones de las mujeres locales a través de las lecciones que cree con Microsoft 365 Copilot Chat. Estas herramientas ayudan a inspirar curiosidad, apoyar el pensamiento crítico y conectar a los estudiantes con las poderosas historias de mujeres que han dado forma a nuestro mundo.
1. Experimentar la valentía de las mujeres hispanas en LatinExplorers 2
Presenten a sus estudiantes a un grupo extraordinario de mujeres hispanas que han dado forma a sus comunidades y al mundo. Con LatinExplorers 2 de Minecraft Education, creado en asociación con la Fundación de la Herencia Hispana, los estudiantes descubrirán cómo Gloria Estefan, Ellen Ochoa y Mónica Ramírez tuvieron un impacto a través de la música, la ciencia y la defensa. En el camino, desarrollarán habilidades de liderazgo, desarrollarán empatía y aprenderán a enfrentar los desafíos, al igual que estas mujeres intrépidas.
Conexión al aula: Antes de comenzar, exploren los archivos de soporte en la página web de LatinExplorers 2. Encontrarán una guía para educadores para ayudar a facilitar la experiencia en su salón de clases, junto con un kit de herramientas para usar LatinExplorers 2 en un evento familiar.
2. Ponerse en la piel de los premios Nobel
La resolución de conflictos es una habilidad de liderazgo crítica, y la lección Constructores de paz de Minecraft Education ayuda a los estudiantes a desarrollar su capacidad para lidiar con problemas a través de ejemplos del mundo real. En esta experiencia inmersiva, creada en colaboración con el Centro Nobel de la Paz, los estudiantes conocen a cuatro galardonados con el Premio Nobel de la Paz que abordaron los conflictos globales de maneras únicas, incluida Jody Williams, quien trabajó de manera incansable para prohibir las minas terrestres en la Camboya de la posguerra. A través de la historia de Williams y otros constructores de paz, los estudiantes explorarán estrategias para prevenir y resolver conflictos, para fortalecer su capacidad de liderar con empatía y acción.
Conexión en el aula: Den un vistazo a los archivos de apoyo y utilicen el PowerPoint de la clase de Jody Williams para introducir conceptos importantes y guiar a sus alumnos en la creación de su propia campaña para abordar los problemas que les importan.
3. Presentar modelos femeninos fuertes a seguir con Lessons in Good Trouble
Inspiren a sus alumnos a convertirse en catalizadores de un cambio positivo en su comunidad y aprendan de líderes de los derechos civiles como Rosa Parks, Malala Yousafzai y Emmeline Pankhurst en las Lessons in Good Trouble de Minecraft Education. En esta experiencia, sus estudiantes trabajarán junto a activistas abiertos para comprender los períodos históricos en los que a las mujeres se les negaron las oportunidades educativas y el derecho al voto. Las valientes mujeres de Lessons in Good Trouble demuestran cómo el activismo pacífico puede desafiar las injusticias y crear una sociedad más equitativa para todos.
Conexión en el aula: Mejoren el aprendizaje de sus estudiantes al hacer que Rosa Parks, Malala Yousafzai o Emmeline Pankhurst sean el foco de un proyecto de investigación. Usen un Acelerador de Aprendizaje, como Progreso de búsqueda o Instructor de búsqueda, para ayudar a llevar su aprendizaje al siguiente nivel.
4. Investigar a mujeres influyentes con Search Progress y Search Coach
Amplíen el aprendizaje más allá del Mes de la Historia de la Mujer mientras ayudan a sus estudiantes a desarrollar habilidades esenciales de alfabetización digital con Search Progress y Search Coach, dos Aceleradores de Aprendizaje. Una tarea en Search Progress permite a los estudiantes encontrar, evaluar y usar fuentes en línea creíbles para desarrollar habilidades críticas de alfabetización informacional en el camino. Y ambas herramientas facilitan el seguimiento del aprendizaje de los estudiantes en tiempo real.
Por ejemplo, pueden crear una tarea de Progreso de búsqueda que pida a los alumnos que investiguen las contribuciones de Emmeline Pankhurst al movimiento por el sufragio femenino. Con Search Coach, sus estudiantes reciben comentarios en tiempo real sobre sus consultas, lo que les ayuda a perfeccionar sus estrategias de investigación mientras desarrollan conocimientos previos sobre este líder influyente.
Para comenzar a usar Search Progress y Search Coach, exploren estos recursos:
5. Practicar la presentación con Speaker Progress y Speaker Coach
Ayuden a los estudiantes a compartir su aprendizaje del Mes de la Historia de la Mujer con un PowerPoint y practiquen sus habilidades de presentación con Speaker Progress y Speaker Coach, dos aceleradores de aprendizaje. Utilicen el progreso del orador para crear tareas de presentación y realizar un seguimiento del crecimiento de sus estudiantes a nivel individual, de clase, de grado y escolar. Luego, hagan que sus estudiantes usen Speaker Coach para completar la tarea, mientras reciben comentarios en tiempo real impulsados por IA sobre el ritmo, el tono, la claridad y más.
Para integrar el aprendizaje de Minecraft Education con las tareas de presentación, pidan a los estudiantes que creen un PowerPoint sobre formas de aumentar la diversidad, tal como Ellen Ochoa modeló en LatinExplorers 2. Pueden practicar su entrega en un espacio privado con Speaker Coach, lo que ayuda a aumentar su confianza a medida que fortalecen sus habilidades de comunicación.
Sacar el máximo partido a Speaker Progress y Speaker Coach con estos recursos:
6. Ampliar el Mes de la Historia de la Mujer con Copilot Chat
Copilot Chat puede ayudarlos a crear materiales para el aula, actividades y lecciones adaptadas a los temas del Mes de la Historia de la Mujer o incluso a los intereses de sus estudiantes. Utilicen la IA generativa para optimizar la planificación de las clases, copien y peguen uno de estos prompts listos para usar en Copilot Chat:
Genera una lista de cinco mujeres de [área geográfica o país] que hayan hecho contribuciones significativas en las últimas [dos décadas]. Incluye un párrafo sobre sus logros, desafíos y liderazgo. Incluye una actividad atractiva para los estudiantes de [nivel de grado] que requiera que exploren la información de una manera interactiva.
Escribe un pasaje de lectura oral sobre Jody Williams, detallando sus logros como ganadora del Premio Nobel. El pasaje debe estar en un nivel Lexile de [700L] y debajo de [número] de palabras. Proporcione tres preguntas de comprensión para un estudiante de [nivel de grado].
Asegúrense de consultar «Conoce a tu asistente de IA para la educación» para descubrir más formas en que Copilot Chat puede ayudarlos a personalizar el aprendizaje, respaldar la lluvia de ideas, proporcionar comentarios y más.
Desde experiencias educativas de Minecraft con mujeres líderes hasta aceleradores de aprendizaje que ayudan a los estudiantes a practicar sus habilidades, encuentren una actividad que haga que el Mes de la Historia de la Mujer y el Día Internacional de la Mujer 2025 sean memorables e inspiradores para sus estudiantes. ¡Comiencen a inspirar a la próxima generación de líderes en su salón de clases hoy!
Amazon Bedrock Flows and Amazon Bedrock Prompt Management are now available in AWS GovCloud (US) and Europe (Stockholm) regions. Flows helps you accelerate the creation, testing, and deployment of predefined generative AI workflows. You can use the visual builder or SDK to connect the latest foundation models, prompts, agents, knowledge bases, and other AWS services to create and test generative AI workflows. You can easily experiment with Flows using the visual builder or APIs, A/B test multiple flow versions, and deploy and scale to production using serverless infrastructure.
Prompt Management helps you simplify the creation, evaluation, versioning, and sharing of prompts to get the best responses from foundation models for your use cases. You can use the Prompt Builder to experiment with multiple foundation models, model configurations, and prompt messages. You can test and compare prompts in-place using the Prompt Builder without deployment. To share prompts for use in downstream applications, you can create a version and make an API call to retrieve the prompt.
Both Bedrock Flows and Prompt Management are now available in AWS GovCloud (US) and Europe (Stockholm) regions, in addition to existing commercial regions. To get started, see the following resources:
Amazon Bedrock Flows and Amazon Bedrock Prompt Management are now available in AWS GovCloud (US) and Europe (Stockholm) regions. Flows helps you accelerate the creation, testing, and deployment of predefined generative AI workflows. You can use the visual builder or SDK to connect the latest foundation models, prompts, agents, knowledge bases, and other AWS services to create and test generative AI workflows. You can easily experiment with Flows using the visual builder or APIs, A/B test multiple flow versions, and deploy and scale to production using serverless infrastructure. Prompt Management helps you simplify the creation, evaluation, versioning, and sharing of prompts to get the best responses from foundation models for your use cases. You can use the Prompt Builder to experiment with multiple foundation models, model configurations, and prompt messages. You can test and compare prompts in-place using the Prompt Builder without deployment. To share prompts for use in downstream applications, you can create a version and make an API call to retrieve the prompt. Both Bedrock Flows and Prompt Management are now available in AWS GovCloud (US) and Europe (Stockholm) regions, in addition to existing commercial regions. To get started, see the following resources:
Blog post
Amazon Bedrock user guide for Flows
Amazon Bedrock user guide for Prompt Management
Amazon Neptune Database now supports R7i database instances powered by custom 4th Generation Intel Xeon Scalable processors. R7i instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. These instances are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), and engine versions 1.4.3 or above.
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easier to build and run applications that work with highly connected datasets. Compared to previous generation R6i instances, the R7i instances deliver up to 15% better price performance, powering your graph use cases such as fraud graphs, knowledge graphs, customer 360 graphs, and security graphs.
You can launch R7i instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7i instances requires a simple instance type modification for Neptune engine versions 1.4.3 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.
Amazon Neptune Database now supports R7i database instances powered by custom 4th Generation Intel Xeon Scalable processors. R7i instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. These instances are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), and engine versions 1.4.3 or above. Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easier to build and run applications that work with highly connected datasets. Compared to previous generation R6i instances, the R7i instances deliver up to 15% better price performance, powering your graph use cases such as fraud graphs, knowledge graphs, customer 360 graphs, and security graphs. You can launch R7i instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7i instances requires a simple instance type modification for Neptune engine versions 1.4.3 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.
We’re excited to introduce the Amazon GameLift Servers Game Server Wrapper, an open-source tool that helps significantly reduce the time required for game developers to onboard their game servers.
Developers told us they faced significant overhead integrating the Server SDK, including dependency management and custom code implementation. The Game Server Wrapper solves these challenges by eliminating the need for server SDK integration, making it easy to deploy game servers on Amazon GameLift Servers with zero code changes. The Game Server Wrapper supports game session management through built in default functions to start and stop game sessions, making it easy to test and iterate on game builds. Developers package their game server executable with the wrapper, create a Amazon GameLift Servers Build resource, upload the build to Amazon GameLift Servers, and start game sessions without modifying their game server code. While the wrapper simplifies onboarding, it does not support all Amazon GameLift Servers SDK functions. This includes all matchmaking and backfilling APIs for Amazon GameLift Server FlexMatch and capabilities for player session state management, which are not supported
The Amazon GameLift Servers Game Server Wrapper is best suited for developers evaluating Amazon GameLift Servers with minimal setup, or for production use cases requiring basic game session management.
We’re excited to introduce the Amazon GameLift Servers Game Server Wrapper, an open-source tool that helps significantly reduce the time required for game developers to onboard their game servers. Developers told us they faced significant overhead integrating the Server SDK, including dependency management and custom code implementation. The Game Server Wrapper solves these challenges by eliminating the need for server SDK integration, making it easy to deploy game servers on Amazon GameLift Servers with zero code changes. The Game Server Wrapper supports game session management through built in default functions to start and stop game sessions, making it easy to test and iterate on game builds. Developers package their game server executable with the wrapper, create a Amazon GameLift Servers Build resource, upload the build to Amazon GameLift Servers, and start game sessions without modifying their game server code. While the wrapper simplifies onboarding, it does not support all Amazon GameLift Servers SDK functions. This includes all matchmaking and backfilling APIs for Amazon GameLift Server FlexMatch and capabilities for player session state management, which are not supported The Amazon GameLift Servers Game Server Wrapper is best suited for developers evaluating Amazon GameLift Servers with minimal setup, or for production use cases requiring basic game session management. Please check out the Amazon GameLift Servers Game Server Wrapper code repository and the technical documentation to accelerate your Amazon GameLift Servers onboarding experience.
Today, Amazon announces the expansion of Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, to Europe (Dublin). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media.
Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement.
Today, Amazon announces the expansion of Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, to Europe (Dublin). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media. Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement. To learn more about Amazon Nova creative models, see the Amazon Nova creative models and learn about Amazon Nova creative models responsible use of AI. To get started with Amazon Nova on Amazon Bedrock, visit the Amazon Bedrock console.
Allowed AMIs, an account-wide Amazon EC2 setting that enables you to limit the discovery and use of Amazon Machine Images (AMIs) within your AWS accounts, now integrates with AWS Config. You can now use AWS Config rules to automatically monitor, detect, and report instances launched using AMIs that have not been allowed by Allowed AMIs.
Prior to today, you had to create custom scripts to monitor instance launches and assess the impact of enabling Allowed AMIs. Now with the integration of Allowed AMIs with AWS Config, you can track and detect non-compliant instances using the new AWS Config rule. By leveraging this rule in conjunction with the audit-mode functionality of Allowed AMIs, you can gain valuable insights into your instance launch patterns and identify any potential issues before enforcing stricter controls. This rule scans existing instances and monitors new instance launches, flagging instances launched with unapproved AMIs. This capability enables you to proactively identify and remediate violations before enabling Allowed AMIs in your accounts, simplifying governance across your AWS environment.
By default, this rule is disabled for all AWS accounts. You can enable it by using the AWS CLI, SDKs, or Console. To learn more, please visit our documentation.
Allowed AMIs, an account-wide Amazon EC2 setting that enables you to limit the discovery and use of Amazon Machine Images (AMIs) within your AWS accounts, now integrates with AWS Config. You can now use AWS Config rules to automatically monitor, detect, and report instances launched using AMIs that have not been allowed by Allowed AMIs. Prior to today, you had to create custom scripts to monitor instance launches and assess the impact of enabling Allowed AMIs. Now with the integration of Allowed AMIs with AWS Config, you can track and detect non-compliant instances using the new AWS Config rule. By leveraging this rule in conjunction with the audit-mode functionality of Allowed AMIs, you can gain valuable insights into your instance launch patterns and identify any potential issues before enforcing stricter controls. This rule scans existing instances and monitors new instance launches, flagging instances launched with unapproved AMIs. This capability enables you to proactively identify and remediate violations before enabling Allowed AMIs in your accounts, simplifying governance across your AWS environment. By default, this rule is disabled for all AWS accounts. You can enable it by using the AWS CLI, SDKs, or Console. To learn more, please visit our documentation.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7i instances are available in Asia Pacific (Osaka) Region.
Amazon EC2 R7i instances are powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids), available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.
R7i instances deliver up to 15% better price-performance versus R6i instances. These instances are SAP certified and are a great choice for memory-intensive workloads, such as SAP, SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases like SAP HANA, and real time big data analytics like Hadoop and Spark. They offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl) for high-transaction and latency-sensitive workloads. These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology, allowing customers to facilitate efficient offload and acceleration of data operations, and optimize performance for workloads.
R7i instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. In addition, customers can now attach up to 128 EBS volumes to an R7i instance (vs 28 EBS volume attachments on R6i). This allows processing of larger amounts of data, scale workloads, and improve performance over R6i instances.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7i instances are available in Asia Pacific (Osaka) Region. Amazon EC2 R7i instances are powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids), available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. R7i instances deliver up to 15% better price-performance versus R6i instances. These instances are SAP certified and are a great choice for memory-intensive workloads, such as SAP, SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases like SAP HANA, and real time big data analytics like Hadoop and Spark. They offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl) for high-transaction and latency-sensitive workloads. These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology, allowing customers to facilitate efficient offload and acceleration of data operations, and optimize performance for workloads. R7i instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. In addition, customers can now attach up to 128 EBS volumes to an R7i instance (vs 28 EBS volume attachments on R6i). This allows processing of larger amounts of data, scale workloads, and improve performance over R6i instances. To learn more, visit Amazon EC2 R7i Instances.
