AWS Database Blog

Amazon Relational Database Service (Amazon RDS) for SQL Server now offers the Optimize CPU feature, which enabled control over vCPU allocation through core count modification setting. SQL Server licensing costs can consume a significant portion of your database budget, especially when you’re paying for vCPUs that aren’t fully utilized. This post demonstrates how to implement the Optimize CPU feature to potentially reduce licensing costs while maintaining performance for both new and existing Amazon RDS instances, along with performance benchmarking results and cost implications.

Applications using Aurora DSQL multi-Region clusters should implement a DNS-based routing solution (such as Amazon Route 53) to automatically redirect traffic between AWS Regions. In this post, we show you automated solution for redirecting database traffic to alternate regional endpoints without requiring manual configuration changes, particularly in mixed data store environments.

As a global leader in the online travel industry, Booking.com continuously works to improve the travel experience for its users. Latency is a key factor in achieving this—nobody likes waiting for their search results to be returned. In this post, we share how Booking.com designed a well-architected Amazon ElastiCache-based feature platform, achieving ultra-low latency and high throughput, to ensure the best possible user experience.

re:Invent is a great opportunity for customers and builders who use AWS to share what they have built and why, architectural patterns, and best practices in the form of breakout sessions and workshops. In case you missed some of these sessions, or you wanted to get caught up on why customers like Expedia, Scopely, Adobe, and Amazon.com are building on ElastiCache, you can read this helpful summary of some of the ElastiCache highlights from re:Invent 2025.

Correlated subqueries can cause performance challenges in Amazon Aurora PostgreSQL which can cause applications to experience reduced performance as data volumes grow. In this post, we explore the advanced optimization configurations available in Aurora PostgreSQL that can transform these performance challenges into efficient operations without requiring you to modify a single line of SQL code.

In this post, we demonstrate how your workloads can benefit from upgrading Graviton2-based R6g and R6gd instances to Graviton4-based R8gd instances with Aurora PostgreSQL 17.5 on Aurora I/O-Optimized using an Optimized Reads-enabled tiered cache.

Regeneron, a leading biotechnology company, effectively harnesses traditional on-premises solutions with a sophisticated database architecture to bolster essential commercial-off-the-shelf (COTS) and GxP business applications. In this post, we highlight why Regeneron chose to use Amazon RDS Custom for Oracle to deploy COTS and GxP applications on AWS. This decision underscores their commitment to advancing from a legacy architecture to a robust, scalable, and resilient managed service. By doing so, Regeneron not only enhances their backend database infrastructure but also ensures adherence to GxP procedures, demonstrating their dedication to operational excellence and regulatory compliance.

In this post, we show you how to create and deploy SQL Server Developer Edition on Amazon RDS.

With the introduction of the additional storage volume feature, you can now attach up to three additional storage volumes to your Amazon RDS for SQL Server instances. By using this feature, you can distribute your data and log files across multiple volumes. This enhancement offers more granular control over storage configuration and performance optimization. In this post, you will learn about the following scenarios: Adding a new storage volume, Scaling an existing storage volume, Restoring a database on an additional storage volume, and Deleting a storage volume.

This is a guest blog by Arthur Bigeard, Founder at gdotv, in partnership with Charles Ivie, Sr Graph Architect at AWS. G.V() is a graph database IDE available for Desktop or on AWS Marketplace, offering extensive graph visualization and querying capabilities for Amazon Neptune and Neptune Analytics. In Part 1 of this series, we demonstrated […]