AWS Database Blog

Automating vector embedding generation in Amazon Aurora PostgreSQL with Amazon Bedrock

In this post, we explore several approaches for automating the generation of vector embedding in Amazon Aurora PostgreSQL-Compatible Edition when data is inserted or modified in the database. Each approach offers different trade-offs in terms of complexity, latency, reliability, and scalability, allowing you to choose the best fit for your specific application needs.

Group database tables under AWS Database Migration Service tasks for PostgreSQL source engine

AWS DMS accommodates a broad range of source and target data repositories, such as relational databases, data warehouses, and NoSQL databases. Proper preparation and design are vital for a successful migration process, especially when it comes to optimizing performance and addressing potential delay issues. In this blog post, we offer guidance about recognizing potential root causes of complete load and CDC delays early in the process and provide suggestions for optimally clustering tables to achieve the best performance for an AWS DMS task.

Scale read operations with Amazon Timestream for InfluxDB read replicas

In this post, we show how to use Amazon Timestream for InfluxDB read replicas to scale your read operations by adding additional read replicas while maintaining a single write endpoint. Built in partnership with InfluxData, our read replica add-on offers InfluxDB open source customers the ability to horizontally scale their read capacity.

Automating Amazon RDS and Amazon Aurora recommendations via notification with AWS Lambda, Amazon EventBridge, and Amazon SES

In this post, we walk through a solution that automates the notification of Amazon RDS and Aurora recommendations through email using AWS Lambda, Amazon EventBridge and Amazon Simple Email Service (Amazon SES).

Accelerate database migration using virtual target mode in AWS DMS Schema Conversion

AWS recently announced virtual target mode in AWS Database Migration Service (AWS DMS) Schema Conversion. This feature helps you start migration planning without provisioning target databases. In this post, we show you how to get started using virtual target mode in AWS DMS Schema Conversion.