Today we are announcing the release of Aurora DSQL Connectors for Go (pgx), Python (asyncpg), and Node.js (WebSocket for Postgres.js) that simplify IAM authentication for customers using standard PostgreSQL drivers to connect to Aurora DSQL clusters. These connectors act as transparent authentication layers that automatically handle IAM token generation, eliminating the need to write token generation code or manually supply IAM tokens. Tokens are automatically generated for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing PostgreSQL driver features. The Postgres.js connector additionally supports WebSocket protocol, enabling customers to connect to DSQL clusters in environments where TCP connections are not available.
These connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords. All three connectors support custom IAM credential providers, giving customers flexibility in how they manage their AWS credentials.
Today we are announcing the release of Aurora DSQL Connectors for Go (pgx), Python (asyncpg), and Node.js (WebSocket for Postgres.js) that simplify IAM authentication for customers using standard PostgreSQL drivers to connect to Aurora DSQL clusters. These connectors act as transparent authentication layers that automatically handle IAM token generation, eliminating the need to write token generation code or manually supply IAM tokens. Tokens are automatically generated for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing PostgreSQL driver features. The Postgres.js connector additionally supports WebSocket protocol, enabling customers to connect to DSQL clusters in environments where TCP connections are not available. These connectors streamline authentication and eliminate security risks associated with traditional user-generated passwords. All three connectors support custom IAM credential providers, giving customers flexibility in how they manage their AWS credentials. To get started, visit the Connectors for Aurora DSQL documentation page. For code examples, visit our Github page for pgx for Go, asyncpg for Python, and Websocket for Postgres.js. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the webpage.
A medida que la IA se convierte en parte de la vida cotidiana, su impacto se manifiesta cada vez más de manera concreta: en cómo los científicos abordan el descubrimiento, cómo los médicos toman decisiones, cómo se abordan las cuestiones de responsabilidad e inclusión y cómo se organiza el trabajo.
En la serie de vídeos On Second Thought, la futurista Sinead Bovell habla con cuatro investigadores y expertos de Microsoft que trabajan de manera directa en estas áreas. Las conversaciones se centran en qué cambia cuando la IA se aplica en entornos reales: qué hace posible, dónde siguen sus límites y cómo los equipos gestionan los compromisos que conlleva desplegar estos sistemas de forma responsable.
Den un vistazo al tráiler y a los momentos destacados de cada episodio a continuación.
Episodio 1: Cómo la IA podría hacer que la medicina sea más personal al mejorar la atención humana
El valor más inmediato de la IA en la sanidad es ayudar a los clínicos a navegar la enorme complejidad de la medicina moderna, dice Jonathan Carlson, vicepresidente y director general de Microsoft Research Health Futures. Ningún médico puede registrar todas las especialidades, estudios o guías, dice Carlson. Pero la IA puede añadir a las herramientas digitales de las que ya confían los médicos y ayudarles a diagnosticar una dolencia más rápido, reunir conocimientos médicos relevantes y aplicarlos al paciente específico.
«Somos muy diversos», dice. «Todos somos diferentes. Y, sin embargo, la medicina tiene que funcionar con promedios. Sin embargo, ninguno de nosotros es promedio. Cada uno de nosotros tiene nuestras peculiaridades, ¿verdad? Así que el objetivo de la medicina personalizada es hacer lo correcto para ti, hacer lo correcto para mí.»
La tecnología ayuda a abordar la desadaptación entre tratar a personas muy individuales con sistemas diseñados para poblaciones, dice Carlson. En oncología, por ejemplo, los tratamientos solo funcionan para una fracción de los pacientes con cáncer, sin una forma clara de predecir quién responderá.
La IA puede ayudar a través de estructurar y analizar grandes cantidades de datos clínicos complejos — notas escritas, PDFs, faxes, escaneos y más — para que los médicos puedan tomar decisiones más precisas.
Los agentes de IA incluso pueden asumir el papel de diferentes especialistas para sintetizar datos que ayuden a los médicos a ver el panorama general, afirma. Pero no reemplazarán el cuidado humano.
«Nosotros, como humanos, necesitamos interacción humana, necesitamos contacto humano, necesitamos juicio humano», dice. «Plantear la pregunta de si será una IA o un médico es una falsa dicotomía. Es obvio que serán ambas cosas.»
Episodio 2: Por qué construir una IA responsable requiere, desde antes, más voces
La IA transforma la sociedad, pero ¿quién puede moldear la IA? Para Hiwot Tesfaye, asesor técnico en la Oficina de IA Responsable de Microsoft, la respuesta tiene que ser: todos. Los sistemas de IA necesitan aportaciones no solo de tecnólogos, dice Tesfaye, sino también de lingüistas, científicos sociales y antropólogos, así como de usuarios cotidianos de todo el mundo.
«Cuantas opiniones y perspectivas podamos incorporar lo antes posible en el diseño de un sistema de IA y el entrenamiento de un modelo de IA, cuantas más voces podamos incorporar, mejor», afirma.
Tesfaye se basa en su propia experiencia al crecer en Etiopía, Sudán, Kenia y Uganda, donde la exposición a diferentes culturas desde joven moldeó su capacidad para «hacer de traductora» entre culturas y aun influye en su enfoque en su trabajo en Microsoft. Esa perspectiva global también impulsa el programa Global Perspectives on Responsible AI Fellowship que dirige en Microsoft, que reúne a expertos en IA del Sur Global, incluidos responsables políticos, ingenieros y la comunidad creativa, para informar mejor el programa de IA Responsable de Microsoft y ayudar a evitar puntos ciegos a medida que se construyen nuevos sistemas y modelos.
El objetivo de la beca es que Microsoft esté en el asiento del estudiante y que los becarios «nos ayuden a entender cuáles son los usos beneficiosos de la IA que manifiesta su parte del mundo, pero también cuáles son los usos indebidos que ven y de los que debemos ser conscientes», dice. «Nuestra tecnología llega a cada rincón del mundo, así que debemos ser conscientes de cómo se desarrollan estos abusos.»
Episodio 3: Cuando la IA cambia el ritmo —y la estructura— del descubrimiento científico
La IA no se limita a acelerar las tareas de laboratorio: los agentes de IA transforman el descubrimiento al trabajar junto a los investigadores en cada etapa del proceso científico, para sintetizar grandes cantidades de investigaciones existentes, establecer conexiones entre disciplinas, generar hipótesis e incluso ayudar a diseñar y llevar a cabo experimentos.
«Lo pensamos en términos de todo el método científico», dice John Link, gestor de producto asociado de Microsoft Discovery, que se centra en química y ciencia de materiales. «Son los agentes de IA adecuados, que trabajan mano a mano con un científico durante todo ese proceso.»
Microsoft busca dominios donde las nuevas tecnologías puedan generar un impacto desproporcionado, dice Link. La ciencia destacó como una de esas áreas, después de que la empresa utilizara IA para ayudar a identificar una nueva molécula de refrigerante de centro de datos más respetuosa con el medio ambiente en menos de 10 días, un trabajo que habría llevado años con los métodos tradicionales.
«Fue nuestro momento ‘ajá’ que, oye, si podemos hacerlo, imagina lo que esto podría hacer por todos nuestros clientes», dice Link.
De cara al futuro, Link imagina laboratorios donde «todo científico de nivel inicial» llegue ya apoyado por «un equipo de postdoctorados virtuales.» La promesa, dice, es el avance en desafíos globales como la inseguridad alimentaria y el cambio climático.
«Al final, necesitamos resolver los problemas del mundo más rápido», dice. «Necesitamos acelerar el descubrimiento científico. Y creemos que son herramientas estupendas para hacerlo.»
Episodio 4: A medida que la IA democratiza la experiencia, las habilidades importan más que los títulos
La IA ha comenzado a nivelar el terreno de juego en el trabajo, ya que personas en todas las etapas y roles navegan de manera colectiva el impacto de la tecnología en sus empleos, dice Colette Stallbaumer, directora general de los equipos Microsoft 365 Copilot y Future of Work. A medida que la IA democratiza la experiencia, también aplana las jerarquías tradicionales y cambia la manera en que los equipos se forman y funcionan dentro de las organizaciones.
«Una cosa que vemos es esta dinámica de lo que hablamos en mi equipo y describimos como pasar del organigrama al diagrama de trabajo», dice Stallbaumer. En lugar de roles y títulos estáticos, los empleados se reúnen cada vez más en torno a los proyectos, luego se disuelven y reagrupan a medida que las prioridades cambian. «Los equipos son fluidos, más ágiles», dice, para después añadir que la IA permite a las personas desarrollar experiencia más allá de una sola disciplina.
Eso significa que una de las mentalidades más importantes para los empleados ahora es ser aprendices de por vida, dice Stallbaumer, y menciona que la formación en IA es un imperativo empresarial.
«No puede ser una idea secundaria», dice. «O vas a generar una disrupción para ti mismo o vas a experimentarla (esa disrupción) en este entorno.»
Esta realidad transforma la manera en que las empresas contratan y cómo crecen las carreras, dice Stallbaumer, con la curiosidad, la adaptabilidad y la capacidad de aprender en tiempo real que se vuelven más valiosas que los años de experiencia por sí solos.
Este momento es incierto, dice, pero también está lleno de posibilidades: «Es un momento increíble en la historia para que la gente se incline, aprenda y sea optimista.»
Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Malaysia, Seoul, Singapore, Tokyo), Europe (Frankfurt) and Canada (Central) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances.
M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They 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.
Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Malaysia, Seoul, Singapore, Tokyo), Europe (Frankfurt) and Canada (Central) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances. M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They 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. To get started, sign in to the AWS Management Console. For more information about the M8i-flex instances visit the AWS News blog.
Starting today, public certificates issued from AWS Certificate Manager (ACM) have a maximum validity period of 198 days, compared to previous validity period of 395 days. With this change, ACM-issued public certificates will be compliant with new Certification Authority Browser (CA/Browser) Forum mandate that certificates be no longer than 200 days starting 15th March 2026.
No action is required from the customers to receive this change. All new and renewed public certificates will by default have a validity of 198 days. Existing certificates with 395 days validity continue to be valid and can be used until they renew or expire. All other certificate functionality remains in place. ACM will still continue to auto renew the certificates before expiry. The certificates are now renewed 45 days before expiry. Existing 398 day validity certificates will renew 60 days before expiry and will renew with 198 days validity period.
We have reduced the pricing for ACM’s exportable public certificates in line with the shorter validity period. 198-day exportable public certificate will now cost $7/Fully Qualified domain name (down from $15) and $79/ wildcard name (down from $149). Please refer to ACM’s pricing page for more details. For more information about ACM, visit the ACM documentation.
Starting today, public certificates issued from AWS Certificate Manager (ACM) have a maximum validity period of 198 days, compared to previous validity period of 395 days. With this change, ACM-issued public certificates will be compliant with new Certification Authority Browser (CA/Browser) Forum mandate that certificates be no longer than 200 days starting 15th March 2026. No action is required from the customers to receive this change. All new and renewed public certificates will by default have a validity of 198 days. Existing certificates with 395 days validity continue to be valid and can be used until they renew or expire. All other certificate functionality remains in place. ACM will still continue to auto renew the certificates before expiry. The certificates are now renewed 45 days before expiry. Existing 398 day validity certificates will renew 60 days before expiry and will renew with 198 days validity period. We have reduced the pricing for ACM’s exportable public certificates in line with the shorter validity period. 198-day exportable public certificate will now cost $7/Fully Qualified domain name (down from $15) and $79/ wildcard name (down from $149). Please refer to ACM’s pricing page for more details. For more information about ACM, visit the ACM documentation.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Europe (Ireland) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i.
R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They 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.
R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, delivering exceptional performance for mission-critical SAP workloads.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Europe (Ireland) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i. R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They 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. R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, delivering exceptional performance for mission-critical SAP workloads. To get started, sign in to the AWS Management Console. For more information about the R8i and R8i-flex instances visit the AWS News blog.
AWS Clean Rooms now supports catalog federation for remote Iceberg catalogs. This capability simplifies clean room setup by providing direct, secure access to Iceberg tables stored in Amazon S3 and cataloged in remote catalogs—without requiring table metadata replication. Organizations can now use AWS Glue catalog federation to provide direct access to their existing Iceberg REST catalog in a Clean Rooms collaboration. For example, a media publisher with data cataloged in the AWS Glue Data Catalog and an advertiser with data cataloged in a remote Iceberg catalog can analyze their collective datasets to evaluate advertising spend—without having to build ETL data pipelines or share underlying data with one another.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
AWS Clean Rooms now supports catalog federation for remote Iceberg catalogs. This capability simplifies clean room setup by providing direct, secure access to Iceberg tables stored in Amazon S3 and cataloged in remote catalogs—without requiring table metadata replication. Organizations can now use AWS Glue catalog federation to provide direct access to their existing Iceberg REST catalog in a Clean Rooms collaboration. For example, a media publisher with data cataloged in the AWS Glue Data Catalog and an advertiser with data cataloged in a remote Iceberg catalog can analyze their collective datasets to evaluate advertising spend—without having to build ETL data pipelines or share underlying data with one another. AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Today, AWS announces Amazon Aurora DSQL integration with Kiro powers and AI agent skills, enabling developers to build Aurora DSQL-backed applications faster with AI agent-assisted development. These integrations bundle the Aurora DSQL Model Context Protocol (MCP) server with development best practices, so AI agents can help you with Aurora DSQL schema design, performance optimization, and database operations out of the box.
Kiro powers is a registry of curated and pre-packaged MCP servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. With the Kiro power for Aurora DSQL, agents have instant access to specialized knowledge, so developers can work confidently without any prior context, reducing trial-and-error development cycles. The power is available within the Kiro IDE for one-click installation.
The Aurora DSQL skill extends the same capabilities to additional AI coding agents through the Skills CLI. Developers can install the skill with a single command and select their preferred agents including Kiro CLI, Claude Code, Gemini, Codex, Cursor, Copilot, Cline, Windsurf, Roo, OpenCode, and more. When developers work on database tasks, the agent dynamically loads relevant skill guidance, including Aurora DSQL Postgres-compatible SQL patterns, distributed database design, and IAM authentication, eliminating the need to repeatedly provide the same context across conversations. As Aurora DSQL adds new features, future skill releases will include updated patterns and guidance, ensuring that agents always have current best practices.
Today, AWS announces Amazon Aurora DSQL integration with Kiro powers and AI agent skills, enabling developers to build Aurora DSQL-backed applications faster with AI agent-assisted development. These integrations bundle the Aurora DSQL Model Context Protocol (MCP) server with development best practices, so AI agents can help you with Aurora DSQL schema design, performance optimization, and database operations out of the box. Kiro powers is a registry of curated and pre-packaged MCP servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. With the Kiro power for Aurora DSQL, agents have instant access to specialized knowledge, so developers can work confidently without any prior context, reducing trial-and-error development cycles. The power is available within the Kiro IDE for one-click installation. The Aurora DSQL skill extends the same capabilities to additional AI coding agents through the Skills CLI. Developers can install the skill with a single command and select their preferred agents including Kiro CLI, Claude Code, Gemini, Codex, Cursor, Copilot, Cline, Windsurf, Roo, OpenCode, and more. When developers work on database tasks, the agent dynamically loads relevant skill guidance, including Aurora DSQL Postgres-compatible SQL patterns, distributed database design, and IAM authentication, eliminating the need to repeatedly provide the same context across conversations. As Aurora DSQL adds new features, future skill releases will include updated patterns and guidance, ensuring that agents always have current best practices.
For more information on the Aurora DSQL Kiro power and agent skills, visit the Aurora DSQL steering documentation and GitHub page. Get started with Aurora DSQL for free with the AWS Free Tier.
Amazon Connect Cases now supports AWS Service Quotas, giving administrators a centralized way to view applied limits, monitor utilization, and scale case workloads without hitting unexpected service constraints. You can request quota increases directly from the Service Quotas console, and eligible requests are automatically approved without manual intervention.
Amazon Connect Cases is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
Amazon Connect Cases now supports AWS Service Quotas, giving administrators a centralized way to view applied limits, monitor utilization, and scale case workloads without hitting unexpected service constraints. You can request quota increases directly from the Service Quotas console, and eligible requests are automatically approved without manual intervention. Amazon Connect Cases is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
Amazon Managed Grafana now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in in your Amazon Managed Grafana workspaces with your own encryption keys. Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale.
Amazon Managed Grafana provides encryption at rest using AWS owned keys by default. With this launch, you now have an option to use a customer-managed key when creating an Amazon Managed Grafana workspace. This allows you to add a self-managed security layer, helping you meet your organization’s compliance and regulatory requirements.
This feature is now available in all regions where Amazon Managed Grafana is generally available, except in AWS GovCloud (US) Regions. To get started with Amazon Managed Grafana, refer Amazon Managed Grafana user guide. To learn more about Amazon Managed Grafana, visit the product page and pricing page.
Amazon Managed Grafana now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in in your Amazon Managed Grafana workspaces with your own encryption keys. Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale.
Amazon Managed Grafana provides encryption at rest using AWS owned keys by default. With this launch, you now have an option to use a customer-managed key when creating an Amazon Managed Grafana workspace. This allows you to add a self-managed security layer, helping you meet your organization’s compliance and regulatory requirements.
This feature is now available in all regions where Amazon Managed Grafana is generally available, except in AWS GovCloud (US) Regions. To get started with Amazon Managed Grafana, refer Amazon Managed Grafana user guide. To learn more about Amazon Managed Grafana, visit the product page and pricing page.
Starting today, Amazon Aurora MySQL – Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12.
In addition to many security enhancements and bug fixes, Aurora MySQL v3.12 contains several availability improvements. For more details, refer to the Aurora MySQL 3.12 and MySQL 8.0.44 release notes. To upgrade to Aurora MySQL 3.12, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available.
Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.
Starting today, Amazon Aurora MySQL – Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12. In addition to many security enhancements and bug fixes, Aurora MySQL v3.12 contains several availability improvements. For more details, refer to the Aurora MySQL 3.12 and MySQL 8.0.44 release notes. To upgrade to Aurora MySQL 3.12, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.
