Amazon CloudWatch Database Insights now supports tag-based access control for database and per-query metrics powered by RDS Performance Insights. You can implement access controls across a logical grouping of database resources without managing individual resource-level permissions.
Previously, tags defined on RDS and Aurora instances did not apply to metrics powered by Performance Insights, creating significant overhead in manually configuring metric-related permissions at the database resource level. With this launch, those instance tags are now automatically evaluated to authorize metrics powered by Performance Insights. This allows you to define IAM policies using tag-based access conditions, resulting in improved governance and security consistency.
Please refer to RDS and Aurora documentation to get started with defining IAM policies with tag-based access control on database and per-query metrics. This feature is available in all AWS regions where CloudWatch Database Insights is available.
CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. It offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights User Guide.
Amazon CloudWatch Database Insights now supports tag-based access control for database and per-query metrics powered by RDS Performance Insights. You can implement access controls across a logical grouping of database resources without managing individual resource-level permissions. Previously, tags defined on RDS and Aurora instances did not apply to metrics powered by Performance Insights, creating significant overhead in manually configuring metric-related permissions at the database resource level. With this launch, those instance tags are now automatically evaluated to authorize metrics powered by Performance Insights. This allows you to define IAM policies using tag-based access conditions, resulting in improved governance and security consistency. Please refer to RDS and Aurora documentation to get started with defining IAM policies with tag-based access control on database and per-query metrics. This feature is available in all AWS regions where CloudWatch Database Insights is available. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. It offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights User Guide.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Europe (Milan), and AWS Asia Pacific (Hong Kong, Osaka, Melbourne) 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. 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) C8g instances are available in AWS Europe (Milan), and AWS Asia Pacific (Hong Kong, Osaka, Melbourne) 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. 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 C8g Instances. To get started, see the AWS Management Console.
AWS Systems Manager announces the launch of security updates notification for Windows patching compliance, which helps customers identify security updates that are available but not approved by their patch baseline configuration. This feature introduces a new patch state called «AvailableSecurityUpdate» that reports security patches of all severity levels that are available to install on Windows instances but do not meet the approval rules in your patch baseline.
As organizations grow, administrators need to maintain secure systems while controlling when patches are applied. The security updates notification helps prevent situations where customers could unintentionally leave instances unpatched when using features like ApprovalDelay with large values. By default, instances with available security updates are marked as Non-Compliant, providing a clear signal that security patches require attention. Customers can also configure this behavior through their patch baseline settings to maintain existing compliance reporting if preferred.
This feature is available in all AWS Regions where AWS Systems Manager is available. To get started with security updates notification for Windows patching compliance, visit the AWS Systems Manager Patch Manager console. For more information about this feature, refer to our user documentation or update your patch baseline with the details here. There are no additional charges for using this feature beyond standard AWS Systems Manager pricing.
AWS Systems Manager announces the launch of security updates notification for Windows patching compliance, which helps customers identify security updates that are available but not approved by their patch baseline configuration. This feature introduces a new patch state called «AvailableSecurityUpdate» that reports security patches of all severity levels that are available to install on Windows instances but do not meet the approval rules in your patch baseline. As organizations grow, administrators need to maintain secure systems while controlling when patches are applied. The security updates notification helps prevent situations where customers could unintentionally leave instances unpatched when using features like ApprovalDelay with large values. By default, instances with available security updates are marked as Non-Compliant, providing a clear signal that security patches require attention. Customers can also configure this behavior through their patch baseline settings to maintain existing compliance reporting if preferred. This feature is available in all AWS Regions where AWS Systems Manager is available. To get started with security updates notification for Windows patching compliance, visit the AWS Systems Manager Patch Manager console. For more information about this feature, refer to our user documentation or update your patch baseline with the details here. There are no additional charges for using this feature beyond standard AWS Systems Manager pricing.
AWS announces support for customer managed AWS Key Management Service (KMS) keys in Automated Reasoning checks in Amazon Bedrock Guardrails. This enhancement enables you to use your own encryption keys to protect policy content and tests, giving you full control over key management. Automated Reasoning checks in Amazon Bedrock Guardrails is the first and only generative AI safeguard that helps correct factual errors from hallucinations using logically accurate and verifiable reasoning that explains why responses are correct.
This feature enables organizations in regulated industries like healthcare, financial services, and government to adopt Automated Reasoning checks while meeting compliance requirements for customer-owned encryption keys. For example, a financial institution can now use Automated Reasoning checks to validate loan processing guidelines while maintaining full control over the encryption keys protecting their policy content. When creating an Automated Reasoning policy, you can now select a customer managed KMS key to encrypt your content rather than using the default key.
Customer managed KMS key support for Automated Reasoning checks is available in all AWS Regions where Amazon Bedrock Guardrails is offered: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), and Europe (Paris).
AWS announces support for customer managed AWS Key Management Service (KMS) keys in Automated Reasoning checks in Amazon Bedrock Guardrails. This enhancement enables you to use your own encryption keys to protect policy content and tests, giving you full control over key management. Automated Reasoning checks in Amazon Bedrock Guardrails is the first and only generative AI safeguard that helps correct factual errors from hallucinations using logically accurate and verifiable reasoning that explains why responses are correct. This feature enables organizations in regulated industries like healthcare, financial services, and government to adopt Automated Reasoning checks while meeting compliance requirements for customer-owned encryption keys. For example, a financial institution can now use Automated Reasoning checks to validate loan processing guidelines while maintaining full control over the encryption keys protecting their policy content. When creating an Automated Reasoning policy, you can now select a customer managed KMS key to encrypt your content rather than using the default key. Customer managed KMS key support for Automated Reasoning checks is available in all AWS Regions where Amazon Bedrock Guardrails is offered: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), and Europe (Paris). To get started, see the following resources:
Automated Reasoning checks user guide
Amazon Bedrock Guardrails product page
AWS Key Management Service developer guide
Create an Automated Reasoning policy in the Bedrock console
Amazon OpenSearch Service now supports latest generation Graviton4-based Amazon EC2 instance families. These new instance types are compute optimized (C8g), general purpose (M8g), and memory optimized (R8g, R8gd) instances.
AWS Graviton4 processors provide up to 30% better performance than AWS Graviton3 processors with c8g, m8g and r8g & r8gd offering the best price performance for compute-intensive, general purpose, and memory-intensive workloads respectively. To learn more about Graviton4 improvements, please see the blog on r8g instances and the blog on c8g & m8g instances.
Amazon OpenSearch Service Graviton4 instances are supported on all OpenSearch versions, and Elasticsearch (open source) versions 7.9 and 7.10.
One or more than one Graviton4 instance types are now available on Amazon OpenSearch Service across 23 regions globally: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Mumbai), Asia Pacific (Malaysia), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Thailand), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America(Sao Paulo) and AWS GovCloud (US-West).
For region specific availability & pricing, visit our pricing page. To learn more about Amazon OpenSearch Service and its capabilities, visit our product page.
Amazon OpenSearch Service now supports latest generation Graviton4-based Amazon EC2 instance families. These new instance types are compute optimized (C8g), general purpose (M8g), and memory optimized (R8g, R8gd) instances. AWS Graviton4 processors provide up to 30% better performance than AWS Graviton3 processors with c8g, m8g and r8g & r8gd offering the best price performance for compute-intensive, general purpose, and memory-intensive workloads respectively. To learn more about Graviton4 improvements, please see the blog on r8g instances and the blog on c8g & m8g instances. Amazon OpenSearch Service Graviton4 instances are supported on all OpenSearch versions, and Elasticsearch (open source) versions 7.9 and 7.10. One or more than one Graviton4 instance types are now available on Amazon OpenSearch Service across 23 regions globally: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Mumbai), Asia Pacific (Malaysia), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Thailand), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America(Sao Paulo) and AWS GovCloud (US-West). For region specific availability & pricing, visit our pricing page. To learn more about Amazon OpenSearch Service and its capabilities, visit our product page.
Den rienda suelta a su creatividad a escala: la revolución multimodal de Azure AI Foundry
Por: Steve Sweetman, jefe de producto de servicios de Azure OpenAI y Naomi Moneypenny, directora sénior de desarrollo de productos.
Imaginen una plataforma en la que todos los desarrolladores, ya sea que construyan para una startup o una empresa global, puedan desbloquear todo el espectro de IA: texto, imágenes, audio y video. En OpenAI DevDay, Azure AI Foundry hizo realidad esa visión. Con el lanzamiento de OpenAI GPT-image-1-mini, GPT-realtime-mini y GPT-audio-mini, además de importantes actualizaciones de seguridad para GPT-5, ahora ustedes tienen el conjunto de herramientas definitivo para crear, experimentar y escalar soluciones multimodales, de manera más rápida y asequible que nunca. Nos complace compartir que los modelos anunciados por OpenAI se implementarán ahora en Azure AI Foundry, y la mayoría de los clientes pudieron comenzar a partir del 7 de octubre de 2025.
Este anuncio se unió a las principales innovaciones que anunciamos hace unas semanas con el lanzamiento de Microsoft Agent Framework (ahora en versión preliminar), flujos de trabajo multiagente en Foundry Agent Service en versión preliminar privada, observabilidad unificada, disponibilidad general de Voice Live API y las nuevas capacidades de IA responsable. Microsoft Agent Framework (GitHub) es un SDK de código abierto de nivel comercial y un entorno de ejecución diseñado para simplificar la orquestación de sistemas multiagente. Unifica los cimientos listos para el negocio de Semantic Kernel con las capacidades multiagente de AutoGen, para brindar a los desarrolladores las herramientas para crear soluciones agenciales inteligentes y escalables con velocidad y confianza.
Al expandir Azure AI Foundry con los modelos OpenAI más recientes y avanzar en nuestro marco de IA agéntica, capacitamos a los clientes con opciones, flexibilidad y funcionalidades empresariales sin precedentes, lo que permite a los desarrolladores crear sistemas de agentes inteligentes que abordan necesidades empresariales complejas e impulsan la innovación a escala.
Conozcan los nuevos modelos: Creado para desarrolladores, listo para cualquier cosa
GPT-image-1-mini: Potencia compacta para la creatividad visual
GPT-image-1-mini está diseñado en específico para organizaciones y desarrolladores que necesitan una generación de imágenes rápida y eficiente en recursos a escala. Su arquitectura compacta permite la creación de texto a imagen e imagen de alta calidad mientras consume menos recursos computacionales, lo que permite a los equipos implementar IA multimodal incluso en entornos restringidos. Su sólida arquitectura basada en el modelo Image-1 optimiza la coherencia y la facilidad de adopción para las organizaciones que ya aprovechan la IA multimodal en Azure AI Foundry.
¿Qué lo hace especial?
Generación flexible de imágenes: implementen funciones de texto a imagen e imagen a imagen de alta calidad sin romper su presupuesto.
Inferencia ultrarrápida: generen imágenes en tiempo real, integradas a la perfección con los flujos de trabajo existentes de Azure AI Foundry.
Casos de uso:
Generar materiales educativos para las aulas y el aprendizaje en línea.
Diseño de libros de cuentos y narrativas visuales.
Producción de activos de juegos para la creación rápida de prototipos y desarrollo.
Aceleración de los flujos de trabajo de diseño de interfaz de usuario para aplicaciones y sitios web.
Tabla 1: Precios e implementación de GPT-image-1-mini en Azure AI Foundry (por 1 millón de tokens)*
GPT-realtime-mini y GPT-audio-mini: solución de voz eficiente y asequible
Los dos nuevos mini modelos están diseñados para organizaciones y desarrolladores que necesitan una IA multimodal rápida y rentable sin sacrificar la calidad. Estos modelos son livianos y de una alta optimización, y ofrecen interacción de voz en tiempo real y generación de audio con requisitos mínimos de recursos. Su arquitectura optimizada permite una inferencia rápida y baja latencia, lo que los hace ideales para escenarios donde la velocidad y la capacidad de respuesta son críticas, como chatbots basados en voz, traducción en tiempo real y creación dinámica de contenido de audio. Al consumir menos recursos computacionales, estos modelos ayudan a las empresas y a los equipos de desarrolladores a reducir los costos operativos mientras escalan las capacidades multimodales en una amplia gama de aplicaciones.
¿Qué los hace especiales?
Capacidad de respuesta en tiempo real: potencien los chatbots, los asistentes y las herramientas de traducción con una latencia casi nula.
Pocos recursos: ejecuten modelos avanzados de voz y audio en una infraestructura mínima.
Escalado asequible: reduzcan sus costos operativos mientras expanden las capacidades multimodales.
Casos de uso:
Chatbots basados en voz para servicio y soporte al cliente.
Traducción en tiempo real para la comunicación global.
Creación dinámica de contenido de audio para medios y entretenimiento.
Asistentes de voz interactivos para aplicaciones empresariales y de consumo.
GPT‑realtimemini en Azure AI Foundry permite a nuestros clientes crear soluciones de voz con menor latencia, mejor cumplimiento de las instrucciones y rentabilidad, funcionalidades que nuestros clientes valoran, lo que impulsa tiempos de gestión más cortos, diálogos más fluidos y un tiempo de creación de valor más rápido.
Andy O’Dower, vicepresidente de producto, Twilio
Tabla 2: Precios e implementación de GPT-realtime-mini y GPT-audio-mini en Azure AI Foundry (por 1 millón de tokens)*
GPT-5-chat-latest: Elevar el listón de la seguridad y el bienestar
La última actualización de GPT-5-chat-latest en Azure AI Foundry presenta un conjunto más sólido de barreras de seguridad, diseñadas para proteger mejor a los usuarios durante conversaciones confidenciales. Con capacidades mejoradas de detección y respuesta, GPT-5-chat-latest ahora está equipado para reconocer y administrar de manera más efectiva el diálogo que podría conducir a angustia mental o emocional. Estas mejoras reflejan nuestro compromiso continuo con la IA responsable, para asegurar que cada interacción no solo sea inteligente y útil, sino también segura y de apoyo para los usuarios en momentos difíciles.
Tabla 3: Precios e implementación de GPT-5-chat-latest en Azure AI Foundry (por 1 millón de tokens)*
GPT-5-pro: El pináculo del razonamiento y el análisis
GPT-5-pro representa el pináculo del razonamiento y el análisis avanzados dentro del ecosistema de Azure AI Foundry, para brindar inteligencia de grado de investigación. Cuando se implementa a través de Foundry, la arquitectura de estilo torneo de GPT-5-pro aprovecha múltiples vías de razonamiento para garantizar la máxima precisión y confiabilidad, lo que la hace ideal para análisis complejos, generación de código y flujos de trabajo de toma de decisiones. Con Azure AI Foundry, las organizaciones liberan todo el potencial de GPT-5-pro, para impulsar decisiones más inteligentes y acelerar la innovación en sus procesos empresariales más críticos, de forma segura y confiable.
Tabla 4: Precios e implementación de GPT-5-pro en Azure AI Foundry (por 1 millón de tokens)*
La ventaja del desarrollador: construye, experimenta y envía más rápido
Con estos nuevos modelos, Azure AI Foundry no solo se mantiene al día, sino que marca el ritmo. Los desarrolladores ahora pueden ir más allá del texto, para aprovechar la generación, edición y comprensión de imágenes y audio. ¿El resultado? Flujos de trabajo más ricos e inteligentes que impulsan la innovación en todas las industrias, desde la educación y los juegos hasta la automatización empresarial.
Adelanto: Sora 2: generación de audio y video de siguiente nivel
Y hay más en el horizonte. Sora 2 en Azure AI Foundry estará disponible más adelante, para brindar generación avanzada de video y audio en una sola API. Imaginen animaciones basadas en la física, diálogos sincronizados y características de cameo, todo disponible para los desarrolladores a través de Azure AI Foundry. Estén atentos a la próxima ola de experiencias inmersivas y generativas.
¿Están listos para crear la próxima ola de experiencias inmersivas y multimodales? Azure AI Foundry es su plataforma para todas las posibilidades.
*Los precios son precisos a partir de octubre de 2025.
Amazon EC2 now allows customers to modify an instance’s CPU options to optimize the licensing costs of Microsoft Windows license-included workloads. You can now customize the number of vCPUs and/or disable hyperthreading on Windows Server and SQL Server license-included instances to save on vCPU-based licensing costs.
This enhancement is particularly valuable for database workloads like Microsoft SQL Server that require high memory and IOPS but lower vCPU counts. By modifying CPU options, you can reduce vCPU-based licensing costs while maintaining memory and IOPS performance, achieve higher memory-to-vCPU ratios, and customize CPU settings to match your specific workload requirements. For example, on an r7i.8xlarge instance running Windows and SQL Server license included, you can turn off hyperthreading to reduce the default 32 vCPU count to 16, saving 50% on the licensing costs, while still getting the 256 GiB memory and 40,000 IOPS that come with the instance.
This feature is available in all commercial AWS Regions and the AWS GovCloud (US) Regions.
To learn more, see CPU options in the Amazon EC2 User Guide and read this blog post.
Amazon EC2 now allows customers to modify an instance’s CPU options to optimize the licensing costs of Microsoft Windows license-included workloads. You can now customize the number of vCPUs and/or disable hyperthreading on Windows Server and SQL Server license-included instances to save on vCPU-based licensing costs. This enhancement is particularly valuable for database workloads like Microsoft SQL Server that require high memory and IOPS but lower vCPU counts. By modifying CPU options, you can reduce vCPU-based licensing costs while maintaining memory and IOPS performance, achieve higher memory-to-vCPU ratios, and customize CPU settings to match your specific workload requirements. For example, on an r7i.8xlarge instance running Windows and SQL Server license included, you can turn off hyperthreading to reduce the default 32 vCPU count to 16, saving 50% on the licensing costs, while still getting the 256 GiB memory and 40,000 IOPS that come with the instance. This feature is available in all commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, see CPU options in the Amazon EC2 User Guide and read this blog post.
Amazon DocumentDB now offers customers the option to use Internet Protocol version 6 (IPv6) addresses on new and existing clusters. Customers moving to IPv6 can simplify their network stack by running their databases on a dual-stack network that supports both IPv4 and IPv6.
IPv6 increases the number of available addresses and customers no longer need to manage overlapping IPv4 address spaces in their VPCs (Virtual Private Cloud). Customers can standardize their applications on the new version of Internet Protocol by moving to dual-stack mode (supporting both IPv4 and IPv6) with a few clicks in the AWS Management Console or directly using the AWS CLI.
Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB support for IPv6 is generally available on version 4.0 and 5.0 in AWS Regions listed in Dual-stack mode Region and version availability. To learn more about configuring your environment for IPv6, please refer to Amazon VPC and Amazon DocumentDB.
Amazon DocumentDB now offers customers the option to use Internet Protocol version 6 (IPv6) addresses on new and existing clusters. Customers moving to IPv6 can simplify their network stack by running their databases on a dual-stack network that supports both IPv4 and IPv6. IPv6 increases the number of available addresses and customers no longer need to manage overlapping IPv4 address spaces in their VPCs (Virtual Private Cloud). Customers can standardize their applications on the new version of Internet Protocol by moving to dual-stack mode (supporting both IPv4 and IPv6) with a few clicks in the AWS Management Console or directly using the AWS CLI. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB support for IPv6 is generally available on version 4.0 and 5.0 in AWS Regions listed in Dual-stack mode Region and version availability. To learn more about configuring your environment for IPv6, please refer to Amazon VPC and Amazon DocumentDB.
Amazon Timestream for InfluxDB now offers support for InfluxDB 3. Now application developers and DevOps teams can run InfluxDB 3 databases as a managed service. InfluxDB 3 uses a new architecture for the InfluxDB database engine, built on Apache Arrow for in-memory data processing, Apache DataFusion for query execution, and columnar Parquet storage format with data persistence in Amazon S3 to deliver fast performance for high-cardinality data and large scale data processing for large analytical workloads.
With Amazon Timestream for InfluxDB 3, customers can leverage improved query performance and resource utilization for data-intensive use cases while benefiting from virtually unlimited storage capacity through S3-based object storage. The service is available in two editions: Core, the open source version of InfluxDB 3, for near real-time workloads focused on recent data, and Enterprise for production workloads requiring high availability, multi-node deployments, and essential compaction capabilities for long-term storage. The Enterprise edition supports multi-node cluster configurations with up to 3 nodes initially, providing enhanced availability, improved performance for concurrent queries, and greater system resilience.
Amazon Timestream for InfluxDB 3 is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions.
Amazon Timestream for InfluxDB now offers support for InfluxDB 3. Now application developers and DevOps teams can run InfluxDB 3 databases as a managed service. InfluxDB 3 uses a new architecture for the InfluxDB database engine, built on Apache Arrow for in-memory data processing, Apache DataFusion for query execution, and columnar Parquet storage format with data persistence in Amazon S3 to deliver fast performance for high-cardinality data and large scale data processing for large analytical workloads. With Amazon Timestream for InfluxDB 3, customers can leverage improved query performance and resource utilization for data-intensive use cases while benefiting from virtually unlimited storage capacity through S3-based object storage. The service is available in two editions: Core, the open source version of InfluxDB 3, for near real-time workloads focused on recent data, and Enterprise for production workloads requiring high availability, multi-node deployments, and essential compaction capabilities for long-term storage. The Enterprise edition supports multi-node cluster configurations with up to 3 nodes initially, providing enhanced availability, improved performance for concurrent queries, and greater system resilience. Amazon Timestream for InfluxDB 3 is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions. To get started with Amazon Timestream for InfluxDB 3, visit the Amazon Timestream for InfluxDB console. For more information, see the Amazon Timestream for InfluxDB documentation and pricing page.
Today, AWS announced enhanced map styling features for Amazon Location Service, enabling users to further customize maps with terrain visualization, contour lines, real-time traffic data, and transportation-specific routing information. Developers can create more detailed and informative maps tailored for various use cases, such as outdoor navigation, logistics planning, and traffic management, by leveraging parameters like terrain, contour-density, traffic, and travel-mode through the GetStyleDescriptor API.
With these styling capabilities, users can overlay real-time traffic conditions, visualize transportation-specific routing information such as transit and trucks, and display topographic features through elevation shading. For instance, developers can display current traffic conditions for optimized route planning, show truck-specific routing restrictions for logistics applications, or create maps that highlight physical terrain details for hiking and outdoor activities. Each feature operates seamlessly, providing enhanced map visualization and reliable performance for diverse use cases.
These new map styling features are available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), Europe (Spain), and South America (São Paulo). To learn more, please visit the Developer Guide.
Today, AWS announced enhanced map styling features for Amazon Location Service, enabling users to further customize maps with terrain visualization, contour lines, real-time traffic data, and transportation-specific routing information. Developers can create more detailed and informative maps tailored for various use cases, such as outdoor navigation, logistics planning, and traffic management, by leveraging parameters like terrain, contour-density, traffic, and travel-mode through the GetStyleDescriptor API. With these styling capabilities, users can overlay real-time traffic conditions, visualize transportation-specific routing information such as transit and trucks, and display topographic features through elevation shading. For instance, developers can display current traffic conditions for optimized route planning, show truck-specific routing restrictions for logistics applications, or create maps that highlight physical terrain details for hiking and outdoor activities. Each feature operates seamlessly, providing enhanced map visualization and reliable performance for diverse use cases. These new map styling features are available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), Europe (Spain), and South America (São Paulo). To learn more, please visit the Developer Guide.
