AWS Weekly Roundup: AWS AI/ML Scholars program, Agent Plugin for AWS Serverless, and more (March 30, 2026) Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars program by Swami Sivasubramanian, VP of AWS Agentic AI, to provide free AI education to up to 100,000 learners worldwide. The program has two phases: a Challenge phase where you’ll learn foundational generative AI skills, followed by a […]

AWS Weekly Roundup: AWS AI/ML Scholars program, Agent Plugin for AWS Serverless, and more (March 30, 2026)

Last week, what excited me most was the launch of the 202...

#AWS #AmazonAurora #AmazonPolly #AmazonSagemakerStudio #Announcements #AwsLambda #Dsql #News #PostgresqlCompatible #WeekInReview

Amazon Aurora PostgreSQL now available with the AWS Free Tier Amazon Aurora PostgreSQL is now available on the AWS Free Tier, which offers new customers $100 in AWS credits upon sign-up and the ability to earn an additional $100 in credits by using services including Amazon RDS. With a Free Plan account, you can create an Aurora PostgreSQL serverless cluster from the Amazon RDS Console, AWS CLI, or AWS SDKs using express configuration, which enables you to create and query an Aurora PostgreSQL database in seconds. To get started, select the Free Plan during new AWS account sign-up. AWS Free Tier is available in all AWS Regions where Aurora PostgreSQL serverless is supported. For more details, see the Aurora & RDS Free Tier and AWS Free Tier pages.

🆕 Amazon Aurora PostgreSQL now available on AWS Free Tier with $100 sign-up credit and potential $100 more. Create a serverless cluster via RDS Console, CLI, or SDKs. Free Tier available in all supported regions. For details, visit Aurora & RDS Free Tier pages.

#AWS #AmazonAurora

Amazon Aurora PostgreSQL now supports creating and connecting to a database in seconds Amazon Aurora PostgreSQL now offers a new experience to create a cluster with express configuration, enabling you to create and query an Aurora serverless database in seconds. With pre-configured settings, the new experience accelerates initial setup and reduces time to first query. You have the flexibility to modify certain settings during creation and most other settings afterward. Aurora clusters created using express configuration reside outside a virtual private cloud (VPC) network and include an internet access gateway for secure connections from your favorite development tools - no VPN, or AWS Direct Connect required. The internet access gateway supports the full PostgreSQL wire protocol, enabling connectivity from a broad range of development tools and clients. It is distributed across multiple Availability Zones, providing the same level of high availability as your Aurora cluster. It also sets up AWS Identity and Access Management (IAM) authentication for your administrator user by default, enabling passwordless database authentication from the beginning without additional configuration. Aurora PostgreSQL serverless is now available with the AWS Free Tier on both the Free and Paid plans.  For regional availability and more details, see the Amazon Aurora documentation or read the launch blog. To get started, use the Amazon RDS Console, AWS CLI, or AWS SDKs.

🆕 Amazon Aurora PostgreSQL now lets you create and connect to a serverless database in seconds with express configuration, offering quick setup, IAM authentication, and no VPN needed. Available on AWS Free Tier. For details, see Amazon Aurora docs.

#AWS #AmazonAurora

Amazon Aurora PostgreSQL now supports creating and connecting to a database in seconds Amazon Aurora PostgreSQL now offers a new experience to create a cluster with express configuration, enabling you to create and query an Aurora serverless database in seconds. With pre-configured settings, the new experience accelerates initial setup and reduces time to first query. You have the flexibility to modify certain settings during creation and most other settings afterward. Aurora clusters created using express configuration reside outside a virtual private cloud (VPC) network and include an internet access gateway for secure connections from your favorite development tools - no VPN, or AWS Direct Connect required. The internet access gateway supports the full PostgreSQL wire protocol, enabling connectivity from a broad range of development tools and clients. It is distributed across multiple Availability Zones, providing the same level of high availability as your Aurora cluster. It also sets up AWS Identity and Access Management (IAM) authentication for your administrator user by default, enabling passwordless database authentication from the beginning without additional configuration. Aurora PostgreSQL serverless is now available with the https://aws.amazon.com/free/ on both the Free and Paid plans.  For regional availability and more details, see the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.AuroraPostgreSQL.ExpressConfig.html or read the https://aws.amazon.com/blogs/aws/announcing-amazon-aurora-postgresql-serverless-database-creation-in-seconds. To get started, use the https://console.aws.amazon.com/rds/home, AWS CLI, or AWS SDKs.

Amazon Aurora PostgreSQL now supports creating and connecting to a database in seconds

Amazon Aurora PostgreSQL now offers a new experience to create a cluster with express configuration, enabling you to create and query an Aurora serverless database in seconds. With pre-co...

#AWS #AmazonAurora

Amazon Aurora PostgreSQL now available with the AWS Free Tier Amazon Aurora PostgreSQL is now available on the AWS Free Tier, which offers new customers $100 in AWS credits upon sign-up and the ability to earn an additional $100 in credits by using services including Amazon RDS. With a Free Plan account, you can create an Aurora PostgreSQL serverless cluster from the https://console.aws.amazon.com/rds/home, AWS CLI, or AWS SDKs using express configuration, which enables you to create and query an Aurora PostgreSQL database in seconds. To get started, select the Free Plan during new AWS account sign-up. AWS Free Tier is available in all AWS Regions where Aurora PostgreSQL serverless is https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.Aurora_Fea_Regions_DB-eng.Feature.ServerlessV2.html#Concepts.Aurora_Fea_Regions_DB-eng.Feature.ServerlessV2.apg For more details, see the https://aws.amazon.com/rds/free/& and https://aws.amazon.com/free/ pages.

Amazon Aurora PostgreSQL now available with the AWS Free Tier

Amazon Aurora PostgreSQL is now available on the AWS Free Tier, which offers new customers $100 in AWS credits upon sign-up and the ability to earn an additional $100 in credits by using services including Amazon...

#AWS #AmazonAurora

Announcing Amazon Aurora PostgreSQL serverless database creation in seconds AWS introduces a new express configuration for Amazon Aurora PostgreSQL, a streamlined database creation experience with preconfigured defaults designed to help you get started in seconds. With Aurora PostgreSQL, start building quickly from the RDS Console or your preferred developer tool—with the ability to modify configurations anytime. Plus, Aurora PostgreSQL is now available with AWS Free Tier.

Announcing Amazon Aurora PostgreSQL serverless database creation in seconds

AWS introduces a new express configuration for Amazon Aurora PostgreSQL, a streamlined database creation experience with preconfigured defaults designed to help y...

#AWS #AmazonAurora #Database #Launch #News #Serverless

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026) Last week, my team met many developers at Developer Week in San Jose. My colleague, Vinicius Senger delivered a great keynote about renascent software—a new way of building and evolving applications where humans and AI collaborate as co-developers using Kiro. Other colleagues, Du’An Lightfoot, Elizabeth Fuentes, Laura Salinas, and Sandhya Subramani spoke about building and […]

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026)

Last week, my team met many developers at Developer Week in ...

#AWS #AmazonAurora #AmazonBedrock #AmazonEc2 #AmazonNova #AmazonSagemaker #Launch #News #WeekInReview

Netflix shared the blueprint for migrating 400+ production clusters with minimal downtime.

How❓ By building an internal automation platform to move from Amazon RDS for PostgreSQL to Aurora.

🔗 bit.ly/4bm9Vtk

#InfoQ #SoftwareArchitecture #migration #databases #PostgreSQL #AmazonRDS #AmazonAurora

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026) Last week, my team met many developers at Developer Week in San Jose. My colleague, Vinicius Senger delivered a great keynote about renascent software—a new way of building and evolving applications where humans and AI collaborate as co-developers using Kiro. Other colleagues spoke about building and deploying production-ready AI agents. Everyone stayed to ask and […]

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026)

Last week, my team met many developers at Developer Week in ...

#AWS #AmazonAurora #AmazonBedrock #AmazonEc2 #AmazonNova #AmazonSagemaker #Launch #News #WeekInReview

Amazon Aurora now supports Server-Side Encryption at Rest Amazon Aurora further strengthens your security posture by automatically applying server-side encryption by default to all new databases clusters, created starting today, using AWS-owned keys. This encryption is fully managed, transparent to users, with no cost or performance impact. Aurora now automatically encrypts all new database clusters created without custom encryption settings using server-side encryption by default. Existing clusters remain unaffected and you can continue using the current encryption configuration with customer-managed or AWS-managed KMS keys. This automatic encryption only applies to new clusters where no encryption configuration is provided. You cannot disable encryption on new clusters, but can choose customer-managed or AWS-managed KMS keys instead of server side encryption during cluster creation. Server side encryption provides encryption protection without requiring you to provision, rotate, or manage keys. This update is available in all AWS Regions, including the AWS GovCloud (US) Regions. To learn more about encryption at rest, refer to our blog or see Aurora encryption documentation.

🆕 Amazon Aurora now supports automatic server-side encryption at rest for all new clusters using AWS-owned keys, enhancing security with no cost or performance impact. Existing clusters remain unaffected. This feature is available in all AWS Regions.

#AWS #AmazonAurora

Amazon Aurora now supports Server-Side Encryption at Rest Amazon Aurora further strengthens your security posture by automatically applying server-side encryption by default to all new databases clusters, created starting today, using https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#aws-owned-key. This encryption is fully managed, transparent to users, with no cost or performance impact. Aurora now automatically encrypts all new database clusters created without custom encryption settings using server-side encryption by default. Existing clusters remain unaffected and you can continue using the current encryption configuration with customer-managed or AWS-managed KMS keys. This automatic encryption only applies to new clusters where no encryption configuration is provided. You cannot disable encryption on new clusters, but can choose customer-managed or AWS-managed KMS keys instead of server side encryption during cluster creation. Server side encryption provides encryption protection without requiring you to provision, rotate, or manage keys. This update is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/, including the https://aws.amazon.com/govcloud-us/. To learn more about encryption at rest, refer to our blog or see https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html.

Amazon Aurora now supports Server-Side Encryption at Rest

Amazon Aurora further strengthens your security posture by automatically applying server-side encryption by default to all new databases clusters, created starting today, using https://docs.aws.amazon.com/kms/latest/

#AWS #AmazonAurora

Amazon Aurora Global Database now supports managed minor version upgrades Amazon Aurora Global Database now supports managed minor version upgrades across your global topology with minimal downtime, eliminating the need to manually upgrade each cluster individually and reducing operational overhead for global cluster management. Aurora Global Database allows a single Aurora database to span up to 11 AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. You can now perform managed minor version upgrades through the AWS Management Console, SDK, or CLI and all the global clusters, across Regions, are upgraded to the selected minor version, eliminating the need to manually upgrade each cluster individually. This capability is currently only supported for https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.Aurora_Fea_Regions_DB-eng.Feature.GlobalDatabase.html#Concepts.Aurora_Fea_Regions_DB-eng.Feature.GlobalDatabase.apg and available in all commercial https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ and https://aws.amazon.com/govcloud-us/. To learn more about managed minor version upgrades, see our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-global-database-upgrade.html.

Amazon Aurora Global Database now supports managed minor version upgrades

Amazon Aurora Global Database now supports managed minor version upgrades across your global topology with minimal downtime, eliminating the need to manually upgrade each cluster individually and redu...

#AWS #AmazonAurora

Amazon RDS now provides an enhanced console experience to connect to a database Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connect to your RDS databases. The new console experience provides ready-made code snippets for Java, Python, Node.js and other programming languages as well as tools like the psql command line utility. These code snippets are automatically adjusted based on your database's authentication settings. For example, if your cluster uses IAM authentication, the generated code snippets will use token-based authentication to connect to the database. The console experience also includes integrated CloudShell access, offering the ability to connect to your databases directly from within the RDS console. This feature is available for Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB database engines across https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ Get started with the new console experience for database connectivity through the https://console.aws.amazon.com/rds/home. To learn more, see the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.htmland https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.htmluser guide

Amazon RDS now provides an enhanced console experience to connect to a database

Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connec...

#AWS #AmazonRds #AmazonAurora

Amazon RDS now provides an enhanced console experience to connect to a database Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connect to your RDS databases. The new console experience provides ready-made code snippets for Java, Python, Node.js and other programming languages as well as tools like the psql command line utility. These code snippets are automatically adjusted based on your database's authentication settings. For example, if your cluster uses IAM authentication, the generated code snippets will use token-based authentication to connect to the database. The console experience also includes integrated CloudShell access, offering the ability to connect to your databases directly from within the RDS console. This feature is available for Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB database engines across all commercial AWS Regions. Get started with the new console experience for database connectivity through the Amazon RDS Console. To learn more, see the Amazon RDS and Aurora user guide

🆕 Amazon RDS now offers an enhanced console experience for easier database connection, featuring code snippets for various languages, psql utility, IAM-based auth, and integrated CloudShell access. Available for Aurora and RDS databases in all AWS regions.

#AWS #AmazonRds #AmazonAurora

Amazon Aurora and RDS for PostgreSQL, MySQL and MariaDB now support r8g, r7g, and r7i database instances in additional AWS Regions AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Amazon RDS for PostgreSQL, MySQL, and MariaDB in additional Asia Pacific regions (Hong Kong, Osaka, and Jakarta). R8G instances are now supported for Amazon Aurora with MySQL compatibility and Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Seoul and Singapore), and Canada (Central) regions, expanding on the previous launch of R8g support for Amazon Aurora with PostgreSQL compatibility in these three regions. Additionally, Amazon Aurora with MySQL and PostgreSQL compatibility now also supports R7i database instances in Asia Pacific (Hyderabad) and R7g database instances in Africa (Cape Town). AWS Graviton4-based instances provide up to 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. Built on the AWS Nitro System, the new R8g database instances introduce 24xlarge and 48xlarge sizes, delivering up to 192 vCPUs, an 8:1 ratio of memory to vCPU with the latest DDR5 memory, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to Amazon Elastic Block Store (Amazon EBS). You can easily launch R8g, R7g, or R7i database instances through the https://console.aws.amazon.com/rds/home or by using the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.CreateInstance.html (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.DBInstanceClass.SupportAurora.html and https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.Support.html documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS https://aws.amazon.com/rds/pricing/.

Amazon Aurora and RDS for PostgreSQL, MySQL and MariaDB now support r8g, r7g, and r7i database instances in additional AWS Regions

AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Am...

#AWS #AmazonAurora #AmazonRds

Amazon Aurora and RDS for PostgreSQL, MySQL and MariaDB now support r8g, r7g, and r7i database instances in additional AWS Regions AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Amazon RDS for PostgreSQL, MySQL, and MariaDB in additional Asia Pacific regions (Hong Kong, Osaka, and Jakarta). R8G instances are now supported for Amazon Aurora with MySQL compatibility and Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Seoul and Singapore), and Canada (Central) regions, expanding on the previous launch of R8g support for Amazon Aurora with PostgreSQL compatibility in these three regions. Additionally, Amazon Aurora with MySQL and PostgreSQL compatibility now also supports R7i database instances in Asia Pacific (Hyderabad) and R7g database instances in Africa (Cape Town). AWS Graviton4-based instances provide up to 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. Built on the AWS Nitro System, the new R8g database instances introduce 24xlarge and 48xlarge sizes, delivering up to 192 vCPUs, an 8:1 ratio of memory to vCPU with the latest DDR5 memory, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to Amazon Elastic Block Store (Amazon EBS). You can easily launch R8g, R7g, or R7i database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page.

🆕 AWS now offers Graviton4-based R8g instances for Aurora and RDS for PostgreSQL, MySQL, and MariaDB, delivering up to 40% performance and 29% price/performance gains. Launch easily via AWS CLI or RDS console. See Aurora and RDS docs for details.

#AWS #AmazonAurora #AmazonRds

Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20 and 13.23 Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. The release includes improvements to Blue Green deployments, resulting in reduced switchover times by limiting new commits on the primary instance. There are also enhancements to Query Plan Management (QPM), and improved instance recovery times by optimizing commit log loading during database recovery. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review the Aurora https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_UpgradeDBInstance.PostgreSQL.html to learn more about upgrading. Refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.VersionPolicy.html to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20 and 13.23

Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The docs.aws.amazon.com/AmazonRDS/latest/AuroraP...

#AWS #AmazonAurora #AwsGovcloudUs

AWS Databases are now available on v0 by Vercel Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB serverless databases are now available on v0 by Vercel, an AI-powered tool that transforms your ideas into production-ready, full-stack web applications in minutes. With this launch, you can build your ideas as well as create and connect to AWS databases from v0 using natural language prompts. To get started, simply describe what you want to build in v0. The tool takes care of developing the frontend user interface and backend logic, storing your application data in the AWS database that best meets your application needs. v0 provides an end-to-end setup experience where you can choose and configure database resources under a new AWS account or link to an existing account, all without leaving v0 interface. New AWS accounts from Vercel include access to all three databases and $100 USD in credits that can be used with any of the database options for up to six months. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit http://v0.app or the https://vercel.com/marketplace/aws on the Vercel Marketplace. The serverless options for https://aws.amazon.com/rds/aurora/, https://aws.amazon.com/rds/aurora/dsql/, and https://aws.amazon.com/dynamodb/?nc2=type_a do not require infrastructure management and reduce costs by scaling down to zero automatically when not in use. You can create a database in the following https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai). AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you're prototyping your next big idea or running production AI and data driven applications. For more information, visit the https://aws.amazon.com/products/databases/

AWS Databases are now available on v0 by Vercel

Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB serverless databases are now available on v0 by Vercel, an AI-powered tool that transforms your ideas into production-ready, full-stack web appl...

#AWS #AmazonDynamodb #AmazonAurora

AWS Databases are now available on v0 by Vercel Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB serverless databases are now available on v0 by Vercel, an AI-powered tool that transforms your ideas into production-ready, full-stack web applications in minutes. With this launch, you can build your ideas as well as create and connect to AWS databases from v0 using natural language prompts. To get started, simply describe what you want to build in v0. The tool takes care of developing the frontend user interface and backend logic, storing your application data in the AWS database that best meets your application needs. v0 provides an end-to-end setup experience where you can choose and configure database resources under a new AWS account or link to an existing account, all without leaving v0 interface. New AWS accounts from Vercel include access to all three databases and $100 USD in credits that can be used with any of the database options for up to six months. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit v0 or the AWS landing page on the Vercel Marketplace. The serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB do not require infrastructure management and reduce costs by scaling down to zero automatically when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai). AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you're prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.

🆕 AWS Databases like Aurora PostgreSQL and DynamoDB are now on Vercel's v0, an AI tool for fast full-stack app dev. It connects to AWS, scales serverlessly, and offers $100 in credits for new accounts. Manage settings via the Vercel dashboard.

#AWS #AmazonDynamodb #AmazonAurora

Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20 and 13.23 Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. The release includes improvements to Blue Green deployments, resulting in reduced switchover times by limiting new commits on the primary instance. There are also enhancements to Query Plan Management (QPM), and improved instance recovery times by optimizing commit log loading during database recovery. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review the Aurora https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_UpgradeDBInstance.PostgreSQL.html to learn more about upgrading. Refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.VersionPolicy.html to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20 and 13.23

Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The docs.aws.amazon.com/AmazonRDS/latest/AuroraP...

#AWS #AmazonAurora

Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20 and 13.23 Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The update includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. The release includes improvements to Blue Green deployments, resulting in reduced switchover times by limiting new commits on the primary instance. There are also enhancements to Query Plan Management (QPM), and improved instance recovery times by optimizing commit log loading during database recovery. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review the Aurora documentation to learn more about upgrading. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our getting started page.

🆕 Amazon Aurora now supports PostgreSQL 17.7, 16.11, 15.15, 14.20, and 13.23 with enhancements like faster Blue Green deployments, improved Query Plan Management, and quicker recovery times. Available in all AWS regions. Upgrade via Amazon RDS Management Console.

#AWS #AmazonAurora

AWS Databases are now available on the Vercel Marketplace Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds. To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the https://vercel.com/marketplace/aws on the Vercel Marketplace. The integration includes serverless options for https://aws.amazon.com/rds/aurora/, https://aws.amazon.com/rds/aurora/dsql/, and https://aws.amazon.com/dynamodb/?nc2=type_a to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon. AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you're prototyping your next big idea or running production AI and data driven applications. For more information, visit the https://aws.amazon.com/products/databases/

AWS Databases are now available on the Vercel Marketplace

Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create ...

#AWS #AmazonDynamodb #AmazonAurora #AwsDatabaseMigrationService

AWS Databases are now available on the Vercel Marketplace Today, AWS Databases including Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB are generally available on the Vercel Marketplace, enabling you to create and connect to an AWS database directly from Vercel in seconds. To get started, you can create a new AWS Account from Vercel that includes access to the three databases and $100 USD in credits. These credits can be used with any of these database option for up to six months. Once your account is set up, you can have a production-ready Aurora database or DynamoDB table powering your Vercel projects within seconds. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit the AWS landing page on the Vercel Marketplace. The integration includes serverless options for Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB to simplify your application needs and reduce costs by scaling to zero when not in use. You can create a database in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai) with more Regions coming soon. AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you're prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.

🆕 AWS Databases like Aurora and DynamoDB are now on Vercel Marketplace for quick setup and a $100 six-month credit. Manage and scale serverless databases across regions with no overhead. Visit AWS on Vercel for details.

#AWS #AmazonDynamodb #AmazonAurora #AwsDatabaseMigrationService

Amazon Aurora PostgreSQL now supports integration with Kiro powers Today, AWS announces Amazon Aurora PostgreSQL-Compatible Edition integration with Kiro powers, enabling developers to build Aurora PostgreSQL backed applications faster with AI agent-assisted development using Kiro. https://kiro.dev/powers/ is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and hooks validated by Kiro partners to accelerate specialized software development and deployment use cases. Kiro power for Aurora PostgreSQL packages the MCP server with targeted database development guidance, giving the Kiro agent instant expertise in Aurora PostgreSQL operations and schema design. Kiro power for Aurora PostgreSQL bundles direct database connectivity through the Aurora PostgreSQL MCP server for data plane operations (queries, table creation, schema management), and control plane operations (cluster creation) and the steering file with Aurora PostgreSQL–specific best practices. When developers work on database tasks, the power dynamically loads relevant guidance – whether creating new Aurora clusters, designing schemas, or optimizing queries – so AI agents receive only the context needed for the specific task at hand. Aurora PostgreSQL power is available within https://kiro.dev/powers/#how-do-i-install-powers and https://kiro.dev/powers/ for one-click installation and can create and manage Aurora PostgreSQL clusters in all AWS Regions. For more information about development use cases, read this https://aws.amazon.com/blogs/database/introducing-amazon-aurora-powers-for-kiro/. To learn more about Aurora PostgreSQL MCP server, visit our https://awslabs.github.io/mcp/servers/postgres-mcp-server. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, and automated multi-Region replication. To get started with Amazon Aurora, visit our getting started page.

Amazon Aurora PostgreSQL now supports integration with Kiro powers

Today, AWS announces Amazon Aurora PostgreSQL-Compatible Edition integration with Kiro powers, enabling developers to build Aurora PostgreSQL backed applications faster with AI agent-assisted ...

#AWS #AwsGovcloudUs #AmazonAurora

Amazon Aurora PostgreSQL now supports integration with Kiro powers Today, AWS announces Amazon Aurora PostgreSQL-Compatible Edition integration with Kiro powers, enabling developers to build Aurora PostgreSQL backed applications faster with AI agent-assisted development using Kiro. Kiro powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and hooks validated by Kiro partners to accelerate specialized software development and deployment use cases. Kiro power for Aurora PostgreSQL packages the MCP server with targeted database development guidance, giving the Kiro agent instant expertise in Aurora PostgreSQL operations and schema design. Kiro power for Aurora PostgreSQL bundles direct database connectivity through the Aurora PostgreSQL MCP server for data plane operations (queries, table creation, schema management), and control plane operations (cluster creation) and the steering file with Aurora PostgreSQL–specific best practices. When developers work on database tasks, the power dynamically loads relevant guidance – whether creating new Aurora clusters, designing schemas, or optimizing queries – so AI agents receive only the context needed for the specific task at hand. Aurora PostgreSQL power is available within Kiro IDE and Kiro powers webpage for one-click installation and can create and manage Aurora PostgreSQL clusters in all AWS Regions. For more information about development use cases, read this blog post. To learn more about Aurora PostgreSQL MCP server, visit our documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, and automated multi-Region replication. To get started with Amazon Aurora, visit our getting started page.

🆕 AWS integrates Amazon Aurora PostgreSQL with Kiro powers for AI-assisted development, offering pre-packaged MCP servers and steering files for faster, guided database operations and schema design, available via Kiro IDE.

#AWS #AwsGovcloudUs #AmazonAurora

AWS Transform announces full-stack Windows modernization capabilities Modernize complete Windows applications up to five times faster with coordinated AI-powered transformation across application code, UI frameworks, databases, and deployment configurations.

AWS Transform announces full-stack Windows modernization capabilities

Modernize complete Windows applications up to five times faster with coordinated AI-powered transformation across application code, U...

#AWS #.Net #AmazonAurora #Announcements #AwsTransform #Launch #News #PostgresqlCompatible

Amazon Aurora now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 Amazon Aurora PostgreSQL-Compatible Edition has added support for Poshttps://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.htmtgreSQL versions https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.html. The update includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. Dynamic Data Masking (DDM) (16.10 and 17.6 only) is a new database-level security feature that protects sensitive data like personally identifiable information by masking column values dynamically at query time based on role-based policies, without altering the actual stored data. This release also includes a shared plan cache, improved performance and recovery-time-objective (RTO) and improvement for Global Database switchovers. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_UpgradeDBInstance.PostgreSQL.html to learn more about upgrading. Refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.VersionPolicy.html to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

Amazon Aurora now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22

Amazon Aurora PostgreSQL-Compatible Edition has added support for Posdocs.aws.amazon.com/AmazonRDS/latest/AuroraP... versi...

#AWS #AmazonAurora #AwsGovcloudUs

Amazon Aurora now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 Amazon Aurora PostgreSQL-Compatible Edition has added support for Poshttps://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQLReleaseNotes/AuroraPostgreSQL.Updates.htmtgreSQL versions 17.6, 16.10, 15.14, 14.19, and 13.22. The update includes the PostgreSQL community's product improvements and bug fixes, and also includes Aurora-specific enhancements. Dynamic Data Masking (DDM) (16.10 and 17.6 only) is a new database-level security feature that protects sensitive data like personally identifiable information by masking column values dynamically at query time based on role-based policies, without altering the actual stored data. This release also includes a shared plan cache, improved performance and recovery-time-objective (RTO) and improvement for Global Database switchovers. To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review the Aurora documentation to learn more about upgrading. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions. 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 AWS services. To get started with Amazon Aurora, take a look at our getting started page.

🆕 Amazon Aurora now supports PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22, adding new features like Dynamic Data Masking and improved performance. Upgrade via the RDS Management Console. Available in all commercial AWS Regions.

#AWS #AmazonAurora #AwsGovcloudUs

Amazon Aurora PostgreSQL introduces dynamic data masking https://aws.amazon.com/rds/aurora/ PostgreSQL-Compatible Edition now supports dynamic data masking through the new pg_columnmask extension, allowing you to simplify the protection of sensitive data in your database. pg_columnmask extends Aurora's security capabilities by enabling column-level protection that complements PostgreSQL's native row-level security and column level grants. Using pg_columnmask, you can control access to sensitive data through SQL-based masking policies and define how data appears to users at query time based on their roles, helping you comply with data privacy regulations like GDPR, HIPAA, and PCI DSS. With pg_columnmask, you can create flexible masking policies using built-in or user-defined functions. You can completely hide information, replace partial values with wildcards, or define custom masking approaches. Further, you can apply multiple masking policies to a single column and control their precedence using weights. pg_columnmask helps protect data in complex queries with WHERE, JOIN, ORDER BY, or GROUP BY clauses. Data is masked at the database level during query processing, leaving stored data unmodified. pg_columnmask is available for Aurora PostgreSQL version 16.10 and higher, and 17.6 and higher in all AWS Regions where Aurora PostgreSQL is available. To learn more, review our https://aws.amazon.com/blogs/database/protect-sensitive-data-with-dynamic-data-masking-for-amazon-aurora-postgresql/ and visit https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Security.DynamicMasking.html. 

Amazon Aurora PostgreSQL introduces dynamic data masking

https://aws.amazon.com/rds/aurora/ PostgreSQL-Compatible Edition now supports dynamic data masking through the new pg_columnmask extension, allowing you to simplify the protection of sensitive data in y...

#AWS #AmazonAurora #AwsGovcloudUs

Amazon Aurora PostgreSQL introduces dynamic data masking Amazon Aurora PostgreSQL-Compatible Edition now supports dynamic data masking through the new pg_columnmask extension, allowing you to simplify the protection of sensitive data in your database. pg_columnmask extends Aurora's security capabilities by enabling column-level protection that complements PostgreSQL's native row-level security and column level grants. Using pg_columnmask, you can control access to sensitive data through SQL-based masking policies and define how data appears to users at query time based on their roles, helping you comply with data privacy regulations like GDPR, HIPAA, and PCI DSS. With pg_columnmask, you can create flexible masking policies using built-in or user-defined functions. You can completely hide information, replace partial values with wildcards, or define custom masking approaches. Further, you can apply multiple masking policies to a single column and control their precedence using weights. pg_columnmask helps protect data in complex queries with WHERE, JOIN, ORDER BY, or GROUP BY clauses. Data is masked at the database level during query processing, leaving stored data unmodified. pg_columnmask is available for Aurora PostgreSQL version 16.10 and higher, and 17.6 and higher in all AWS Regions where Aurora PostgreSQL is available. To learn more, review our blog post and visit technical documentation.

🆕 Amazon Aurora PostgreSQL adds dynamic data masking via pg_columnmask, enhancing security by masking sensitive data at query time, supporting GDPR, HIPAA, and PCI DSS compliance, and available in versions 16.10+, 17.6+ in all AWS regions.

#AWS #AmazonAurora #AwsGovcloudUs