We are excited to announce that Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand).
Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg.
For more information about the AWS Regions where Athena is available, see the AWS Region table. To learn more, see Amazon Athena.
We are excited to announce that Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand). Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the AWS Region table. To learn more, see Amazon Athena.
Amazon CloudFront announces Anycast Static IPs support for apex domains, enabling customers to easily use their root domain (e.g., example.com) with CloudFront. This new feature simplifies DNS management by providing just 3 static IP addresses instead of the previous 21, making it easier to configure and manage apex domains with CloudFront distributions.
Previously, customers had to create CNAME records to point their domains to CloudFront. However, due to DNS rules, root domains (apex domains) cannot point to CNAME records and must use A records or Route53’s ALIAS records. With the new Anycast Static IPs support, customers can now easily configure A records for their apex domains. Organizations can maintain their existing DNS infrastructure while using CloudFront’s global content delivery network to deliver apex domains with low latency and high data transfer speeds. Anycast routing automatically directs traffic to the optimal edge location, ensuring high performance content delivery for end users worldwide.
CloudFront supports Anycast Static IPs from all CloudFront edge locations. This excludes Amazon Web Services China (Beijing) region, operated by Sinnet, and the Amazon Web Services China (Ningxia) region, operated by NWCD. Standard CloudFront pricing applies, with additional charges for Anycast Static IP addresses. To learn more, visit the CloudFront Developer Guide for detailed documentation and implementation guidance.
Amazon CloudFront announces Anycast Static IPs support for apex domains, enabling customers to easily use their root domain (e.g., example.com) with CloudFront. This new feature simplifies DNS management by providing just 3 static IP addresses instead of the previous 21, making it easier to configure and manage apex domains with CloudFront distributions. Previously, customers had to create CNAME records to point their domains to CloudFront. However, due to DNS rules, root domains (apex domains) cannot point to CNAME records and must use A records or Route53’s ALIAS records. With the new Anycast Static IPs support, customers can now easily configure A records for their apex domains. Organizations can maintain their existing DNS infrastructure while using CloudFront’s global content delivery network to deliver apex domains with low latency and high data transfer speeds. Anycast routing automatically directs traffic to the optimal edge location, ensuring high performance content delivery for end users worldwide. CloudFront supports Anycast Static IPs from all CloudFront edge locations. This excludes Amazon Web Services China (Beijing) region, operated by Sinnet, and the Amazon Web Services China (Ningxia) region, operated by NWCD. Standard CloudFront pricing applies, with additional charges for Anycast Static IP addresses. To learn more, visit the CloudFront Developer Guide for detailed documentation and implementation guidance.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Sydney), AWS Europe (London), AWS US West (N. California), and AWS South America (Sao Paulo) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.
AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Sydney), AWS Europe (London), AWS US West (N. California), and AWS South America (Sao Paulo) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. To learn more, see Amazon EC2 C8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Asia Pacific (Tokyo, Sydney) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.
AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Asia Pacific (Tokyo, Sydney) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
AWS Batch now supports Amazon Elastic Container Service (ECS) Exec and AWS FireLens log router for AWS Batch on Amazon ECS and AWS Fargate. With ECS Exec you can track the progress of your application and troubleshoot issue by by running interactive commands against the containers in your AWS Batch job. AWS FireLens allows you to stream logs of your AWS Batch jobs to your chosen destinations including Amazon CloudWatch, Amazon S3, Amazon OpenSearch Service, Amazon Redshift, partner services such as Splunk and more.
You can configure ECS Exec and AWS FireLens while registering a new AWS Batch job definition or making a revision to an existing job definition. For more information, see Register Job Definition page in the AWS Batch API reference and Amazon ECS Developer Guide for ECS Exec and AWS FireLense.
AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. ECS Exec and AWS FireLens are supported in any AWS Region where AWS Batch is available.
AWS Batch now supports Amazon Elastic Container Service (ECS) Exec and AWS FireLens log router for AWS Batch on Amazon ECS and AWS Fargate. With ECS Exec you can track the progress of your application and troubleshoot issue by by running interactive commands against the containers in your AWS Batch job. AWS FireLens allows you to stream logs of your AWS Batch jobs to your chosen destinations including Amazon CloudWatch, Amazon S3, Amazon OpenSearch Service, Amazon Redshift, partner services such as Splunk and more. You can configure ECS Exec and AWS FireLens while registering a new AWS Batch job definition or making a revision to an existing job definition. For more information, see Register Job Definition page in the AWS Batch API reference and Amazon ECS Developer Guide for ECS Exec and AWS FireLense. AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. ECS Exec and AWS FireLens are supported in any AWS Region where AWS Batch is available.
The Amazon EventBridge connector for Apache Kafka Connect is now generally available. This open-source connector streamlines event integration of Kafka environments with dozens of AWS services and partner integrations without writing custom integration code or running multiple connectors for each target. The connector includes built-in support for Kafka schema registries, offloading large event payloads to S3, and IAM role-based authentication, and is available under the Apache 2.0 license in the AWS GitHub organization.
Amazon EventBridge is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. With the EventBridge Connector for Apache Kafka Connect, customers can leverage advanced features such as dynamic event filtering, transformation, and scalable routing through a unified connector in Kafka environments. The connector simplifies event routing from Kafka to AWS targets, custom applications and third-party SaaS services. Organizations can deploy the connector on any Apache Kafka Connect installation, including Amazon Managed Streaming for Kafka (MSK) Connect.
This feature is available in all AWS Regions, including AWS GovCloud (US). To get started, download the latest release from GitHub, configure it in your Kafka Connect environment, and refer to our developer documentation for detailed implementation guidance. Amazon MSK users can find specific instructions in the MSK Connect developer guide.
The Amazon EventBridge connector for Apache Kafka Connect is now generally available. This open-source connector streamlines event integration of Kafka environments with dozens of AWS services and partner integrations without writing custom integration code or running multiple connectors for each target. The connector includes built-in support for Kafka schema registries, offloading large event payloads to S3, and IAM role-based authentication, and is available under the Apache 2.0 license in the AWS GitHub organization. Amazon EventBridge is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. With the EventBridge Connector for Apache Kafka Connect, customers can leverage advanced features such as dynamic event filtering, transformation, and scalable routing through a unified connector in Kafka environments. The connector simplifies event routing from Kafka to AWS targets, custom applications and third-party SaaS services. Organizations can deploy the connector on any Apache Kafka Connect installation, including Amazon Managed Streaming for Kafka (MSK) Connect. This feature is available in all AWS Regions, including AWS GovCloud (US). To get started, download the latest release from GitHub, configure it in your Kafka Connect environment, and refer to our developer documentation for detailed implementation guidance. Amazon MSK users can find specific instructions in the MSK Connect developer guide.
Transformar el futuro del aprendizaje y el trabajo con las habilidades de IA
Por: Paige Johnson, vicepresidenta de sector público, servicios financieros y medios de comunicación, marketing educativo.
En los últimos años, las empresas de todo el mundo han visto un cambio de paradigma en la forma en que las personas consumen contenido y adquieren nuevas habilidades, cambios que solo continuarán su aceleración y evolución en la era de la IA. Una encuesta global de IDC1 reveló que la falta de trabajadores cualificados es el mayor desafío para las empresas que implementan tecnología de IA en sus organizaciones. Este cambio pone de manifiesto la necesidad de una adaptación continua a las tecnologías emergentes y de esfuerzos de colaboración para cerrar la brecha de habilidades de IA.
El Informe Anual del Índice de Tendencias Laborales 2024 de Microsoft y LinkedIn también encontró que el 66% de los líderes dicen que no contratarían a alguien sin habilidades de IA. Al celebrar el Día Nacional de la Alfabetización en IA en Estados Unidos el 28 de marzo de este año, está claro que ninguna empresa podrá aprovechar las oportunidades del mañana. Creemos que se necesitarán asociaciones innovadoras para tener un impacto significativo en la vida de las personas de todo el mundo con la alfabetización y el desarrollo de habilidades en IA.
Empoderar a los alumnos con habilidades esenciales de IA
Microsoft y Pearson, la compañía de aprendizaje permanente del mundo, anunciaron una colaboración estratégica para ayudar a abordar uno de los principales desafíos que enfrentan las organizaciones a nivel mundial: la capacitación para la era de la IA. La asociación se centrará en proporcionar a los empleadores, trabajadores y estudiantes productos y servicios impulsados por IA para ayudar a preparar a la fuerza laboral actual y futura de todas las industrias para el panorama cambiante del trabajo en una economía impulsada por la IA. Al combinar la experiencia de Pearson en aprendizaje y evaluación con las tecnologías de IA y nube de Microsoft, esta asociación desempeñará un papel fundamental para ayudar a las organizaciones a obtener todo el valor de la IA a través del reciclaje profesional.
Microsoft y Pearson abordaron los desafíos y oportunidades en torno al reskilling en la Cumbre ASU-GSV en San Diego, EE. UU., del 6 al 9 de abril de 2025. La cumbre está dedicada a las innovaciones a gran escala en la entrega de educación y habilidades de la fuerza laboral que son fundamentales para crear un mundo en el que todas las personas tengan el mismo acceso al futuro.
En ASU-GSV, la vicepresidenta corporativa de Aprendizaje Mundial de Microsoft, Jeana Jorgensen, se unió al presidente de Workforce Skills de Pearson, Vishaal Gupta, para debatir sobre la transformación del desarrollo de habilidades y la planificación del talento para la era de la IA. Hablaron de cómo se necesita una intervención rápida o corremos el riesgo de que la brecha de habilidades de IA se convierta en un abismo de habilidades, que amenaza la capacidad de las personas y las organizaciones para prosperar en un futuro impulsado por la IA.
También se unió a Vishaal y Jeana para una discusión en ASU-GSV sobre habilidades para la era de la IA. Ahí, profundizaron en cómo la colaboración entre Microsoft y Pearson transformará y escalará las habilidades de IA y ayudará a las organizaciones a equipar a los estudiantes y trabajadores con las habilidades críticas que necesitan para tener éxito en un mundo impulsado por la tecnología.
Repensar el entrenamiento profesional
Dada la urgente necesidad de replantear el aprendizaje y volver a capacitar a los trabajadores, Microsoft y Pearson colaborarán de varias maneras, entre ellas:
Aprendizaje personalizado a escala: Pearson impulsará sus servicios de contenido, evaluación, mejora de habilidades y certificación confiables y de renombre mundial con la infraestructura de IA y computación en la nube de Microsoft Azure. Esta asociación ayudará a Pearson a escalar aún más las capacidades de IA y tecnología en toda la empresa, para ampliar el aprendizaje personalizado y los servicios habilitados para IA a millones de estudiantes, en diferentes etapas de su viaje de aprendizaje en todo el mundo.
Colaboración innovadora: Pearson y Microsoft lanzarán una colaboración estratégica destinada a ayudar a las personas a desarrollar competencias en IA y habilidades técnicas a través de nuevas credenciales y certificaciones de IA. Además, Pearson y Microsoft colaborarán en una serie de copilotos, agentes y herramientas de IA destinadas a ayudar a las personas a desarrollar habilidades, como el aprendizaje del idioma inglés, e identificar brechas de habilidades sin problemas mientras trabajan.
Invertir en carreras impulsadas por la tecnología: Microsoft extenderá su asociación actual con Pearson VUE, un proveedor clave de certificaciones de Microsoft Cloud y Office, hasta 2029. Estas certificaciones ya han ayudado a millones de jóvenes, educadores y trabajadores a prepararse para trabajos que utilizan la tecnología de clase mundial de Microsoft. Esta expansión abrirá estas credenciales vitales a decenas de estudiantes y trabajadores adicionales en todo el mundo.
Impulso a la fuerza laboral de Pearson: después de haber probado y probado Microsoft 365 Copilot, Pearson ampliará su uso implementándolo en su fuerza laboral global. Esto es parte de un esfuerzo continuo para introducir herramientas de IA en el lugar de trabajo que mejoren la eficiencia, la creatividad y la productividad e impulsen un mejor rendimiento operativo.
La asociación amplía los esfuerzos de Microsoft y Pearson para proporcionar habilidades de IA a personas de todo el mundo. En 2024, Microsoft y sus socios capacitaron y certificaron a más de 23 millones de personas en habilidades digitales. Pearson lanzó su certificación Generative AI Foundations para equipar a profesionales y estudiantes con las habilidades esenciales necesarias para trabajar con tecnologías de IA generativa. Además, organizaciones de todo el mundo utilizan Pearson VUE, junto con la capacidad Faethm impulsada por IA de Pearson y la insignia Credly para diagnosticar, evaluar y certificar habilidades.
Desarrollen sus habilidades de IA
¿Tienen curiosidad por conocer otras formas de desarrollar la alfabetización y las habilidades de IA? Empiecen hoy mismo y únanse al Microsoft AI Skills Fest. Las inscripciones ya están abiertas para participar en inmersiones profundas, contenido experiencial, hackatones y sesiones prácticas que mejorarán sus habilidades de IA durante 50 días de descubrimiento y aprendizaje, a partir del 8 de abril de 2025.
Existe una oportunidad significativa de trabajar juntos para desarrollar habilidades de IA y empoderar a la futura fuerza laboral. Ya sea que ustedes, su equipo o sus estudiantes comiencen o busquen perfeccionar sus capacidades, descubran recursos para respaldar su recorrido.
1 IDC InfoBrief: patrocinado por Microsoft, 2024 Business Opportunity of AI, IDC# US52699124, noviembre de 2024
Amazon Web Services (AWS) announces the availability of Amazon EC2 I7ie instances in the AWS Europe (Ireland) region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances.
I7ie instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads.
I7ie instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications.
Amazon Web Services (AWS) announces the availability of Amazon EC2 I7ie instances in the AWS Europe (Ireland) region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads. I7ie instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications. To learn more, visit the I7ie instances page.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i-flex instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in AWS Asia Pacific (Melbourne) Region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.
M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. In addition, these instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. For workloads that need larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage M7i instances.
To learn more, visit Amazon EC2 M7i-flex instance page.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i-flex instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in AWS Asia Pacific (Melbourne) Region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. In addition, these instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. For workloads that need larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage M7i instances. To learn more, visit Amazon EC2 M7i-flex instance page.
AWS Lambda@Edge now supports AWS Lambda’s advanced logging controls to improve how function logs are captured, processed, and consumed at the edge. This enhancement provides you with more control over your logging data, making it easier to monitor application behavior and quickly resolve issues.
The new advanced logging controls for Lambda@Edge give you three flexible ways to manage and analyze your logs. New JSON structured logs make it easier to search, filter, and analyze large volumes of log entries without using custom logging libraries. Log level granularity controls can switch log levels instantly, allowing you to filter for specific types of logs like errors or debug information when investigating issues. Custom CloudWatch log group selection lets you choose which Amazon CloudWatch log group Lambda@Edge sends logs to, making it easier to aggregate and manage logs at scale.
To get started, you can specify advanced logging controls for your Lambda functions using Lambda APIs, Lambda console, AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation. To learn more, visit the Lambda Developer Guide, and the CloudFront Developer Guide.
AWS Lambda@Edge now supports AWS Lambda’s advanced logging controls to improve how function logs are captured, processed, and consumed at the edge. This enhancement provides you with more control over your logging data, making it easier to monitor application behavior and quickly resolve issues. The new advanced logging controls for Lambda@Edge give you three flexible ways to manage and analyze your logs. New JSON structured logs make it easier to search, filter, and analyze large volumes of log entries without using custom logging libraries. Log level granularity controls can switch log levels instantly, allowing you to filter for specific types of logs like errors or debug information when investigating issues. Custom CloudWatch log group selection lets you choose which Amazon CloudWatch log group Lambda@Edge sends logs to, making it easier to aggregate and manage logs at scale. To get started, you can specify advanced logging controls for your Lambda functions using Lambda APIs, Lambda console, AWS CLI, AWS Serverless Application Model (SAM), and AWS CloudFormation. To learn more, visit the Lambda Developer Guide, and the CloudFront Developer Guide.
