Amazon Aurora now supports PostgreSQL 18.1 in the Amazon RDS Database preview environment

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 18.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 18.1 on Amazon Aurora PostgreSQL. PostgreSQL 18.1 was released by the PostgreSQL community on September 9, 2025.  PostgreSQL 18.1 includes “skip scan” support for multicolumn B-tree indexes and improves WHERE clause handling for OR and IN conditions. It introduces parallel GIN index builds and updates join operations. Observability improvements show buffer usage counts and index lookups during query execution, along with a per-connection I/O utilization metric. To learn more about PostgreSQL 18.1, read here.   Database instances in the RDS Database Preview Environment allow testing of a new database engine without the hassle of having to self-install, provision, and manage a preview version of the Aurora PostgreSQL database software. Clusters are retained for a maximum period of 60 days and are automatically deleted after this retention period. Amazon RDS Database Preview Environment database instances are priced the same as production Aurora instances created in the US East (Ohio) Region.   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.
Quelle: aws.amazon.com

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.
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AWS reduces publishing time for Carbon Footprint Data to 21 days or Less

AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage. With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time. To view your carbon footprint data, navigate to your carbon emissions data through the AWS Billing and Cost Management console. For more information about CCFT visit the CCFT capabilities and features page, review the CCFT user guides, and learn more by visiting the CCFT webpage.
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Amazon SageMaker AI is now available in Asia Pacific (New Zealand)

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
To learn more and get started, see SageMaker AI documentation and pricing page.
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AWS Direct Connect announces new location in Hanoi, Vietnam

Today, AWS announced the opening of a new AWS Direct Connect location within the CMC Tower in Hanoi, Vietnam. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Vietnam. This Direct Connect location offers dedicated 1 Gbps, 10 Gbps, and 100 Gbps connections, with MACsec encryption available for 10 Gbps and 100 Gbps connections.  The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 149 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Quelle: aws.amazon.com