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Introducing agentic capabilities for Amazon Q Developer Chat in the AWS Management Console and chat applications

Today, we’re announcing new and improved agentic Amazon Q Developer experience in the AWS Management Console, Microsoft Teams, and Slack. Amazon Q Developer can now answer more complex queries than ever before in the AWS Management Console chat, offering deeper resource introspection and a dynamic, more interactive troubleshooting experience for users.

Till today, Amazon Q Developer helped simplify manual work needed from cloud engineering teams to monitor and troubleshoot resources by answering basic AWS questions and providing specialized guidance. Now, it combines deep AWS expertise with new multi-step reasoning capabilities that enable it to consult multiple information sources and resolve complex queries within the AWS Management Console and chat applications.Customers can ask questions about AWS services and their resources, leaving Amazon Q to automatically identify the appropriate capabilities tools for the task, selecting from AWS APIs across 200+ services. Amazon Q breaks all queries into executable steps, asks for clarification when needed, and combines information from multiple services to solve the task. For example, you can ask, “Why am I getting 500 errors from my payment processing Lambda function?” and Q automatically gathers relevant CloudWatch logs, examines function’s configuration and permissions, checks connected services like API Gateway and DynamoDB and analyzes recent changes – all while showing progress and reasoning to enable builders to work more efficiently.

These new capabilities are accessible in all AWS regions where Amazon Q Developer is available. Learn more in this deep-dive blog.

 

​Today, we’re announcing new and improved agentic Amazon Q Developer experience in the AWS Management Console, Microsoft Teams, and Slack. Amazon Q Developer can now answer more complex queries than ever before in the AWS Management Console chat, offering deeper resource introspection and a dynamic, more interactive troubleshooting experience for users. Till today, Amazon Q Developer helped simplify manual work needed from cloud engineering teams to monitor and troubleshoot resources by answering basic AWS questions and providing specialized guidance. Now, it combines deep AWS expertise with new multi-step reasoning capabilities that enable it to consult multiple information sources and resolve complex queries within the AWS Management Console and chat applications.Customers can ask questions about AWS services and their resources, leaving Amazon Q to automatically identify the appropriate capabilities tools for the task, selecting from AWS APIs across 200+ services. Amazon Q breaks all queries into executable steps, asks for clarification when needed, and combines information from multiple services to solve the task. For example, you can ask, “Why am I getting 500 errors from my payment processing Lambda function?” and Q automatically gathers relevant CloudWatch logs, examines function’s configuration and permissions, checks connected services like API Gateway and DynamoDB and analyzes recent changes – all while showing progress and reasoning to enable builders to work more efficiently. These new capabilities are accessible in all AWS regions where Amazon Q Developer is available. Learn more in this deep-dive blog.  

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AWS Compute Optimizer now supports Aurora I/O-Optimized recommendations

AWS Compute Optimizer now provides Amazon Aurora I/O-Optimized recommendations for Aurora DB Cluster Storage. These recommendations help make informed decisions about adopting Aurora I/O-Optimized configurations to increase pricing predictability and achieve potential cost savings based on your cluster’s storage patterns and usage.

AWS Compute Optimizer automatically analyzes your Aurora DB clusters’ instance storage and I/O costs to provide detailed cost comparisons between Aurora I/O-Optimized and Aurora Standard configurations. By default, Compute Optimizer analyzes 14 days of metrics, which you can extend to 32 days for free or up to 93 days with enhanced infrastructure metrics enabled. With enhanced metrics, you can also view month-over-month I/O usage variations to better evaluate the benefits of each storage configuration.

This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

 

​AWS Compute Optimizer now provides Amazon Aurora I/O-Optimized recommendations for Aurora DB Cluster Storage. These recommendations help make informed decisions about adopting Aurora I/O-Optimized configurations to increase pricing predictability and achieve potential cost savings based on your cluster’s storage patterns and usage. AWS Compute Optimizer automatically analyzes your Aurora DB clusters’ instance storage and I/O costs to provide detailed cost comparisons between Aurora I/O-Optimized and Aurora Standard configurations. By default, Compute Optimizer analyzes 14 days of metrics, which you can extend to 32 days for free or up to 93 days with enhanced infrastructure metrics enabled. With enhanced metrics, you can also view month-over-month I/O usage variations to better evaluate the benefits of each storage configuration. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.  

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Cost Optimization Hub supports recommendations for Amazon Aurora

Cost Optimization Hub now supports instance and cluster storage recommendations for Amazon Aurora databases. These recommendations help you identify idle database instances and choose the optimal DB instance class and storage configuration for your Aurora databases.

With this launch, you can view, filter, consolidate, and prioritize Aurora optimization recommendations across your organization’s member accounts and AWS Regions through a single dashboard. Cost Optimization Hub quantifies estimated savings from these recommendations, taking into account your specific discounts, such as Reserved Instances, enabling you to evaluate Aurora cost savings alongside other cost optimization opportunities.

The new Amazon Aurora recommendations are now available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub is supported.
 

 

​Cost Optimization Hub now supports instance and cluster storage recommendations for Amazon Aurora databases. These recommendations help you identify idle database instances and choose the optimal DB instance class and storage configuration for your Aurora databases. With this launch, you can view, filter, consolidate, and prioritize Aurora optimization recommendations across your organization’s member accounts and AWS Regions through a single dashboard. Cost Optimization Hub quantifies estimated savings from these recommendations, taking into account your specific discounts, such as Reserved Instances, enabling you to evaluate Aurora cost savings alongside other cost optimization opportunities. The new Amazon Aurora recommendations are now available in Cost Optimization Hub across all AWS Regions where Cost Optimization Hub is supported.    

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Amazon Lex adds AWS CloudFormation support for GovCloud (US-West) and advanced features

Amazon Lex now offers AWS CloudFormation support in AWS GovCloud (US-West), extending infrastructure-as-code capabilities to government agencies and their partners.Additionally, CloudFormation support also now includes composite slots and QnAIntent features across all AWS regions where Amazon Lex operates, allowing developers to define, deploy, and manage these advanced conversational components through CloudFormation templates.

With CloudFormation support in AWS GovCloud (US-West), government agencies can now automate the deployment of Amazon Lex chatbots while maintaining compliance with strict security requirements. Additionally, two key conversational AI features are now supported via CloudFormation: composite Slots, which enable more natural interactions by collecting multiple data points in a single prompt (e.g., «Please provide your city and state» instead of separate questions), and QnAIntent, which automatically answers user questions by searching configured knowledge bases and returning relevant information from documents, FAQs, or knowledge bases.

CloudFormation support for Amazon Lex including composite slots and QnAIntent, is available in all AWS Regions where Amazon Lex operates.

To get started with these features, see the CloudFormation resources for Amazon Lex in the Amazon Lex Developer Guide.

 

​Amazon Lex now offers AWS CloudFormation support in AWS GovCloud (US-West), extending infrastructure-as-code capabilities to government agencies and their partners.Additionally, CloudFormation support also now includes composite slots and QnAIntent features across all AWS regions where Amazon Lex operates, allowing developers to define, deploy, and manage these advanced conversational components through CloudFormation templates. With CloudFormation support in AWS GovCloud (US-West), government agencies can now automate the deployment of Amazon Lex chatbots while maintaining compliance with strict security requirements. Additionally, two key conversational AI features are now supported via CloudFormation: composite Slots, which enable more natural interactions by collecting multiple data points in a single prompt (e.g., «Please provide your city and state» instead of separate questions), and QnAIntent, which automatically answers user questions by searching configured knowledge bases and returning relevant information from documents, FAQs, or knowledge bases. CloudFormation support for Amazon Lex including composite slots and QnAIntent, is available in all AWS Regions where Amazon Lex operates. To get started with these features, see the CloudFormation resources for Amazon Lex in the Amazon Lex Developer Guide.  

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Estudio de impacto económico total de Forrester: un retorno de la inversión del 304% en 3 años con Azure Arc

junio 2, 2025

Estudio de impacto económico total de Forrester: un retorno de la inversión del 304% en 3 años con Azure Arc

Iconos informáticos con un candado y una computadora

Por: Omar Khan, vicepresidente de marketing de infraestructura de Azure.

A medida que las empresas continúan adaptándose a las cambiantes demandas del mercado, la ejecución de cargas de trabajo modernas requiere la rápida integración de la IA de lo digital a lo físico. La gestión de la infraestructura y las aplicaciones de nivel empresarial en todos los entornos debe simplificarse con la visualización y el control centralizados de todos los activos de TI.

Azure Arc amplía la plataforma Azure para estandarizar la gobernanza, la seguridad y la orquestación de aplicaciones en entornos multinube, híbridos y perimetrales, lo que permite a los equipos de TI tener un enfoque de operaciones común y centrarse en prioridades estratégicas como la modernización y las iniciativas de inteligencia artificial.

Protejan y administren las cargas de trabajo con los servicios de Azure en cualquier lugar

Para el estudio encargado en 2025 The Total Economic Impact Of Microsoft Azure™ Arc with Cloud-Based Management Services, Forrester Consulting entrevistó a responsables de la toma de decisiones de organizaciones que utilizan Azure Arc con servicios de gestión basados en la nube para gestionar sus activos de TI. Estas organizaciones abarcan la fabricación, los proveedores de soluciones en la nube y el sector público. Los datos consolidados de las experiencias de los entrevistados muestran que el uso de Azure Arc con servicios de administración basados en la nube demostró los siguientes beneficios:

  • 304% de retorno de la inversión (ROI, por sus siglas en inglés) en un periodo de tres años con amortización en menos de seis meses.
  • Aumento del 30% en la productividad de las operaciones de TI.
  • Reducción del 50% del riesgo de violación de seguridad.
  • Un 10% de ahorro en licencias con Windows Server y SQL Server locales de pago por uso, así como una reducción del 30% en las tarifas para actualizaciones de seguridad extendidas.
  • Reducción del 15% en el gasto en soluciones y herramientas de terceros.

Ahorro de costos y ventajas empresariales que permite Azure Arc

Azure Arc aborda los desafíos clave a los que se enfrentan las organizaciones en la administración centralizada de su diversa y vasta infraestructura de TI, como la obtención de visibilidad en toda la infraestructura, el aumento de los costos administrativos con varias herramientas, la dificultad para aplicar los estándares de seguridad y los costosos procesos de actualización de seguridad extendidos.

Un enfoque unificado de la administración y la gobernanza habilitado por Azure Arc

Según el estudio de Forrester, las organizaciones lograron un aumento del 30% en la productividad de las operaciones de TI al aprovechar un enfoque unificado para administrar la infraestructura de TI habilitado por Azure Arc. El personal de operaciones de TI pudo obtener una visión completa del inventario de activos, la estandarización de la seguridad y la gobernanza mediante servicios de gestión basados en la nube, la automatización de procesos manuales como la aplicación de parches en caliente y la reducción del tiempo necesario para el cambio de contexto cuando se utilizan varias herramientas de terceros. Los equipos de operaciones de TI ahora están capacitados para aplicar los procedimientos recomendados de manera coherente y dedicar más tiempo a iniciativas estratégicas de valor agregado, ya que Azure Arc ha reducido el trabajo operativo mientras administra diversos entornos.

Azure Arc nos ahorra cerca del 75% del tiempo en actualizaciones e implementaciones para nuestros numerosos servidores Windows locales.

—ARQUITECTO JEFE DE INFRAESTRUCTURA Y SEGURIDAD, MANUFACTURA

Ahorro de costes y reducción de riesgos de seguridad

Las organizaciones que participaron en el estudio de Forrester y que invirtieron en Azure Arc y en los servicios de administración basados en la nube de Azure, no solo lograron una forma más optimizada de administrar las actividades diarias, como las actualizaciones, la administración de configuraciones, políticas y permisos, sino que también lograron ahorros debido a la automatización y una mejor visibilidad de las licencias. La implementación de un modelo de precios de pago por uso para Windows Server y SQL Server locales, similar al modelo de precios de consumo de Azure, dio como resultado un ahorro del 10% en comparación con los precios basados en la capacidad. Además, el proceso de adquisición simplificado, que eliminó los márgenes de beneficio de proveedores externos para las actualizaciones de seguridad extendidas, redujo las tarifas en un 30%.

El modelo de licencias locales ahora es como la utilización de la nube. Por ejemplo, podemos rechazar servidores SQL Server que no necesitemos los fines de semana o fuera del horario laboral, y no se nos cobrará por ese período de tiempo.

—GERENTE DE SOLUCIONES, PROVEEDOR DE SOLUCIONES EN LA NUBE

Las organizaciones reforzaron su posición de seguridad mediante el uso de los servicios de observabilidad y seguridad de Microsoft, como Azure Monitor, Microsoft Defender for Cloud y Microsoft Sentinel, en todo su patrimonio de TI. Este enfoque les ayudó a identificar los activos que no cumplían con los estándares de seguridad, estandarizar las políticas de seguridad y la detección de amenazas, y reducir el tiempo de respuesta a los incidentes de seguridad, para reducir así el riesgo de violaciones de seguridad en un 50%.

En nuestro centro de operaciones de seguridad, en lugar de tener tres espacios de trabajo diferentes, cada uno con todas estas señales diferentes, ahora toda la telemetría fluye en uno. Y, por lo tanto, nos permite realizar una mejor búsqueda de amenazas para reconocerlas cuando ocurren en la red.

—GERENTE DE SOLUCIONES, PROVEEDOR DE SOLUCIONES EN LA NUBE

Con el uso estandarizado de servicios de gestión basados en la nube, las organizaciones pudieron reducir su dependencia de herramientas de terceros, lo que generó ahorros de hasta un 15% gracias a la obsolescencia de las herramientas.

Azure Arc: la columna vertebral del enfoque de nube adaptable de Azure

Azure Arc proporciona a las organizaciones el siguiente nivel de modularidad, integración y simplicidad para sus equipos de TI y OT. Varios de nuestros clientes aprovechan Azure Arc para adoptar el enfoque de nube adaptable de Azure, lo que les permite ir más allá de los límites tradicionales, estandarizar la administración y las operaciones en sitios distribuidos e integrar tecnologías nativas de la nube y de IA para trabajar de manera simultánea en entornos híbridos, multinube, perimetrales, computación distribuida e IoT para lograr resultados empresariales clave en sectores como la fabricación, el comercio minorista,  transporte y logística, deportes y experiencias en vivo, y gobierno.

Cómo los clientes aceleran la innovación con el enfoque de nube adaptativa

Chevron ha comenzado a reinventar el monitoreo de las operaciones físicas mediante el análisis de datos a nivel local, en instalaciones remotas en el entorno y, al mismo tiempo, mantiene un plano de administración centralizado basado en la nube con Azure Arc. COCD (SANTÉ QUÉBEC) gestiona su creciente red sanitaria a través de la eliminación de los silos y la adopción de un enfoque holístico para gestionar la ciberseguridad y otros servicios digitales utilizando Azure Arc y los servicios de seguridad de Microsoft. El gobierno del estado de Luisiana optimiza el valor de las inversiones operativas mediante la adopción de Azure Arc y el enfoque de nube adaptable para obtener visibilidad y control completos al tiempo que se adapta a la infraestructura heredada. LA LIGA ahora puede innovar para ofrecer la mejor experiencia a los aficionados por medio de Azure Arc para extender Azure hasta el entorno desde una única plataforma, sin importar dónde se encuentre la carga de trabajo, lo que mejora la seguridad al centralizar la gestión de sus entornos locales y en la nube, y volviéndose más eficiente y estratégico en sus operaciones con el aprovechamiento de la IA.

Aprendan más

Descarguen el estudio completo: El impacto™ económico total de Microsoft Azure Arc con servicios de gestión basados en la nube.

The post Estudio de impacto económico total de Forrester: un retorno de la inversión del 304% en 3 años con Azure Arc appeared first on Source LATAM.

 

​The post Estudio de impacto económico total de Forrester: un retorno de la inversión del 304% en 3 años con Azure Arc appeared first on Source LATAM.  

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Amazon Redshift now enables cluster relocation by default for RA3 provisioned clusters

Amazon Redshift now enables cluster relocation by default for RA3 provisioned clusters when creating new clusters or restoring from snapshots. This feature allows you to move a cluster to another Availability Zone (AZ) when resource constraints disrupt cluster operations, maintaining the same endpoint so applications continue without modifications.

Amazon Redshift already provides resiliency by automatically detecting and recovering from drive and node failures. Cluster relocation adds another layer of availability protection against AZ-level issues that might prevent optimal cluster operations. While this setting is now enabled by default for new or restored clusters, existing RA3 provisioned clusters maintain their current configuration unless manually changed. You can manage cluster relocation settings through the AWS Management Console, AWS CLI, or API.

This feature is available at no additional cost for RA3 provisioned clusters across all AWS Regions where RA3 instance types are supported. For more information about cluster relocation, visit our documentation page.
 

 

​Amazon Redshift now enables cluster relocation by default for RA3 provisioned clusters when creating new clusters or restoring from snapshots. This feature allows you to move a cluster to another Availability Zone (AZ) when resource constraints disrupt cluster operations, maintaining the same endpoint so applications continue without modifications. Amazon Redshift already provides resiliency by automatically detecting and recovering from drive and node failures. Cluster relocation adds another layer of availability protection against AZ-level issues that might prevent optimal cluster operations. While this setting is now enabled by default for new or restored clusters, existing RA3 provisioned clusters maintain their current configuration unless manually changed. You can manage cluster relocation settings through the AWS Management Console, AWS CLI, or API. This feature is available at no additional cost for RA3 provisioned clusters across all AWS Regions where RA3 instance types are supported. For more information about cluster relocation, visit our documentation page.    

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Announcing Red Hat Enterprise Linux for AWS

Red Hat Enterprise Linux (RHEL) for AWS, starting with RHEL 10, is now generally available, combining Red Hat’s enterprise-grade Linux software with native AWS integration. RHEL for AWS is built to achieve optimum performance of RHEL running on AWS. This offering features pre-tuned images with AWS-specific performance profiles, built-in Amazon CloudWatch telemetry, integrated AWS Command Line Interface (CLI), image mode using container-native tooling, enhanced security from boot to runtime, and optimized networking with Elastic Network Adapter (ENA) support.

For organizations looking to accelerate innovation and meet customer demands, RHEL for AWS combines the stability of RHEL with native AWS integration. This purpose-built solution is designed to deliver optimized performance, improved security, and simplified management through AWS-specific configurations and tooling. Whether migrating existing workloads or deploying new instances, RHEL for AWS provides a standardized, ready-to-use software that can help teams reduce operational overhead and focus on business initiatives rather than infrastructure management. Customers can save valuable time with built-in AWS service integration, automated monitoring, and streamlined deployment options.

Customers can access RHEL for AWS Amazon Machine Images (AMIs) through the Amazon EC2 Console or AWS Marketplace with flexible procurement options. Please visit Red Hat Enterprise Linux on Amazon EC2 FAQs page for more details.

The service is available across all AWS Commercial and AWS GovCloud (US) Regions. To get started with RHEL for AWS, visit EC2 console or AWS Marketplace.

 

​Red Hat Enterprise Linux (RHEL) for AWS, starting with RHEL 10, is now generally available, combining Red Hat’s enterprise-grade Linux software with native AWS integration. RHEL for AWS is built to achieve optimum performance of RHEL running on AWS. This offering features pre-tuned images with AWS-specific performance profiles, built-in Amazon CloudWatch telemetry, integrated AWS Command Line Interface (CLI), image mode using container-native tooling, enhanced security from boot to runtime, and optimized networking with Elastic Network Adapter (ENA) support. For organizations looking to accelerate innovation and meet customer demands, RHEL for AWS combines the stability of RHEL with native AWS integration. This purpose-built solution is designed to deliver optimized performance, improved security, and simplified management through AWS-specific configurations and tooling. Whether migrating existing workloads or deploying new instances, RHEL for AWS provides a standardized, ready-to-use software that can help teams reduce operational overhead and focus on business initiatives rather than infrastructure management. Customers can save valuable time with built-in AWS service integration, automated monitoring, and streamlined deployment options. Customers can access RHEL for AWS Amazon Machine Images (AMIs) through the Amazon EC2 Console or AWS Marketplace with flexible procurement options. Please visit Red Hat Enterprise Linux on Amazon EC2 FAQs page for more details. The service is available across all AWS Commercial and AWS GovCloud (US) Regions. To get started with RHEL for AWS, visit EC2 console or AWS Marketplace.  

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AWS CDK Toolkit Library is now generally available

Today, AWS announces the general availability of the AWS CDK Toolkit Library, a Node.js library that provides programmatic access to core AWS CDK functionalities such as synthesis, deployment, and destruction of stacks. This library enables developers to integrate CDK operations directly into their applications, custom CLIs, and automation workflows, offering greater flexibility and control over infrastructure management.

Prior to this release, interacting with CDK required using the CDK CLI, which could present challenges when integrating CDK actions into automated workflows or custom tools. With the CDK Toolkit Library, developers can now build custom CLIs, integrate CDK actions in their existing CI/CD workflows, programmatically enforce guardrails and policies, and manage ephemeral environments.

The AWS CDK Toolkit Library is available in all AWS Regions where the AWS CDK is supported.

For more information and a walkthrough of the feature, check out the blog. To get started with the CDK Toolkit Library, please find the documentation here.
 

 

​Today, AWS announces the general availability of the AWS CDK Toolkit Library, a Node.js library that provides programmatic access to core AWS CDK functionalities such as synthesis, deployment, and destruction of stacks. This library enables developers to integrate CDK operations directly into their applications, custom CLIs, and automation workflows, offering greater flexibility and control over infrastructure management. Prior to this release, interacting with CDK required using the CDK CLI, which could present challenges when integrating CDK actions into automated workflows or custom tools. With the CDK Toolkit Library, developers can now build custom CLIs, integrate CDK actions in their existing CI/CD workflows, programmatically enforce guardrails and policies, and manage ephemeral environments. The AWS CDK Toolkit Library is available in all AWS Regions where the AWS CDK is supported. For more information and a walkthrough of the feature, check out the blog. To get started with the CDK Toolkit Library, please find the documentation here.    

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Amazon MWAA now provides option to update environments without interrupting task execution

Amazon Managed Workflows for Apache Airflow (MWAA) now provides the option to update environments without interrupting running tasks on supported Apache Airflow versions (v2.4.3 or later).

Amazon MWAA is a managed service for Apache Airflow that lets you use the same familiar Apache Airflow platform as you do today to orchestrate your workflows and enjoy improved scalability, availability, and security without the operational burden of having to manage the underlying infrastructure. Amazon MWAA now allows you to update your environment without disrupting your ongoing workflow tasks. By choosing this option, you are now able to update an MWAA environment in graceful manner where MWAA will replace Airflow Scheduler and Webserver components, provision new workers, and wait for ongoing worker tasks to complete before removing older workers. The graceful option is available only for supported Apache Airflow versions (v2.4.3 or later) on MWAA.

You can enable graceful updates in your MWAA environment by performing an update with just a few clicks in the AWS Management Console in all currently supported Amazon MWAA regions. To learn more about graceful updates of MWAA environments, visit the Amazon MWAA documentation. To learn more about the Apache Airflow versions on MWAA, visit the Apache Airflow versions on Amazon Managed Workflows for Apache Airflow.

Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
 

 

​Amazon Managed Workflows for Apache Airflow (MWAA) now provides the option to update environments without interrupting running tasks on supported Apache Airflow versions (v2.4.3 or later). Amazon MWAA is a managed service for Apache Airflow that lets you use the same familiar Apache Airflow platform as you do today to orchestrate your workflows and enjoy improved scalability, availability, and security without the operational burden of having to manage the underlying infrastructure. Amazon MWAA now allows you to update your environment without disrupting your ongoing workflow tasks. By choosing this option, you are now able to update an MWAA environment in graceful manner where MWAA will replace Airflow Scheduler and Webserver components, provision new workers, and wait for ongoing worker tasks to complete before removing older workers. The graceful option is available only for supported Apache Airflow versions (v2.4.3 or later) on MWAA. You can enable graceful updates in your MWAA environment by performing an update with just a few clicks in the AWS Management Console in all currently supported Amazon MWAA regions. To learn more about graceful updates of MWAA environments, visit the Amazon MWAA documentation. To learn more about the Apache Airflow versions on MWAA, visit the Apache Airflow versions on Amazon Managed Workflows for Apache Airflow. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.    

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Amazon EKS introduces configuration insights for Amazon EKS Hybrid Nodes

Today, Amazon Elastic Kubernetes Services (Amazon EKS) announced the general availability of configuration insights for Amazon EKS Hybrid Nodes. These new insights surface configuration issues impacting the functionality of Amazon EKS clusters with hybrid nodes, and provide actionable guidance on how to remediate identified misconfigurations. Configuration insights are available through the Amazon EKS cluster insights APIs and on the observability dashboard in the Amazon EKS console.

Amazon EKS cluster insights now automatically scans Amazon EKS clusters with hybrid nodes to identify configuration issues impairing Kubernetes control plane-to-webhook communication, kubectl commands like exec and logs, and more. Configuration insights surface issues and provide remediation recommendations, accelerating the time to a fully functioning hybrid nodes setup.

Configuration insights for Amazon EKS Hybrid Nodes are available in all AWS Regions where Amazon EKS Hybrid Nodes is available. To get started visit the Amazon EKS User Guide.
 

 

​Today, Amazon Elastic Kubernetes Services (Amazon EKS) announced the general availability of configuration insights for Amazon EKS Hybrid Nodes. These new insights surface configuration issues impacting the functionality of Amazon EKS clusters with hybrid nodes, and provide actionable guidance on how to remediate identified misconfigurations. Configuration insights are available through the Amazon EKS cluster insights APIs and on the observability dashboard in the Amazon EKS console. Amazon EKS cluster insights now automatically scans Amazon EKS clusters with hybrid nodes to identify configuration issues impairing Kubernetes control plane-to-webhook communication, kubectl commands like exec and logs, and more. Configuration insights surface issues and provide remediation recommendations, accelerating the time to a fully functioning hybrid nodes setup. Configuration insights for Amazon EKS Hybrid Nodes are available in all AWS Regions where Amazon EKS Hybrid Nodes is available. To get started visit the Amazon EKS User Guide.