AWS Database Blog

Flo is the largest app in the Health and Fitness category worldwide, with 70 million monthly active users. In this post, we explain best practices Flo implemented to scale to more than 70 million monthly active users while achieving 60% cost efficiency with Amazon DynamoDB.

This is the first post of a series dedicated to table restores and data integrity. In this post, we present a solution that automates the PITR restoration process and handles data changes that occur during the restoration, providing a fluid transition back to the restored DynamoDB table with near-zero downtime. This solution enables you to restore a DynamoDB table efficiently with minimum impact your application.

The Amazon RDS for Oracle User Guide provides comprehensive coverage of the maintenance activities in Amazon RDS for Oracle. However, it could be cumbersome to quickly learn about the best practices around various maintenance activities in Amazon RDS for Oracle from the user guide. In this post, we describe the key maintenance activities and the best practices to be followed for each of them.

In this post, we demonstrate improvements in planned failover downtime of Multi-AZ instance deployment with Amazon RDS Proxy, a result of several optimizations made by RDS. In the event of a failure, Amazon RDS automatically switches the roles of the primary and standby instances and updates the IP address associated with the database’s DNS (hostname). This allows client applications to maintain their connection settings during failover. This process, known as DNS propagation, can take up to 35 seconds to complete. RDS Proxy eliminates the 35 seconds of DNS propagation delay by continuously monitoring both instances, allowing it to bypass DNS propagation. This allows RDS Proxy to deliver a faster failover response for client applications, maximizing availability during failovers.

This post is co-authored with Eric Boyer and Maria Hristova of Firmex. Firmex is a leading Virtual Data Room provider with more than 20,000 new rooms opened every year. In this post, we discuss how and why Firmex migrated 65,000 databases heterogeneously from their on-premises SQL Server to Amazon Aurora PostgreSQL-Compatible Edition.

In this post, we look at two capabilities in Amazon Bedrock Knowledge Bases that make it easier to build RAG workflows with Amazon Aurora Serverless v2 as the vector store. The first capability helps you easily create an Aurora Serverless v2 knowledge base to use with Amazon Bedrock and the second capability enables you to automate deploying your RAG workflow across environments.

In this post, we introduce postgres_get_av_diag(), a new function available in RDS for PostgreSQL to monitor aggressive autovacuum blockers. By using this function, you can identify and address performance and availability risks through actionable insights provided by postgres_get_av_diag().

Valkey is an open-source, distributed, in-memory key-value data store that offers high-performance data retrieval and storage capabilities, making it an ideal choice for scalable, low-latency modern application development. Originating as a fork of Redis OSS following recent licensing changes, Valkey maintains full compatibility with its predecessor while providing high performance alternative for its developers. Valkey […]

Amazon Relational Database Service (Amazon RDS) for MySQL currently supports a variety of Community MySQL major versions including 5.7, 8.0, and 8.4 which present many different features and bug fixes. Upgrading from one major version to another requires careful consideration and planning. For a complete list of compatible major versions, see Supported MySQL major versions […]

In this post, we dive deep into concurrency control, providing valuable insights into crafting efficient transaction patterns and presenting examples that demonstrate effective solutions to common concurrency challenges. We also include a sample code that illustrates how to implement retry patterns for seamlessly managing concurrency control exceptions in Amazon Aurora DSQL (DSQL).