AWS Database Blog

Amazon RDS provides different instance types optimized to fit different relational database use cases. You can modify provisioned instances manually from the Amazon RDS console or using an API. When modifications need to be done on a recurring basis, such as scaling an instance up and down during predefined periods of time, you can automate the task using EventBridge Scheduler and Lambda. In this post, we present a solution using Amazon EventBridge Scheduler and AWS Lambda that allows you to schedule a programmatic modification of a DB instance with specific tags.

Claroty is a leading provider of industrial cybersecurity solutions, protecting cyber-physical systems (CPS), such as industrial control systems, operational technology networks, and healthcare networks from cyber threats. Claroty’s business is rooted in its need to efficiently manage large volumes of data and run complex queries to ensure a great user experience for its customers who are reducing security risks to cyber-physical systems. One key workload involves an API that provides users with an interface to extract device, alert, and vulnerability data from the Claroty xDome dashboard, enabling seamless integration into their own data stores. In this post, we share how Claroty improved database performance and scaled Claroty xDome using the advanced features of Aurora.

In the post Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0, we discussed various ways to reduce costs by migrating your workload to Amazon DocumentDB. In this post, we demonstrate the document compression feature in Amazon DocumentDB to reduce storage usage and I/O cost.

This post outlines a set of design and tuning strategies for a high-speed purge in an Amazon Relational Database Service (Amazon RDS) for MySQL DB instance and Amazon Aurora MySQL-Compatible Edition DB cluster. Purge is a housekeeping operation in a MySQL database. The InnoDB storage engine relies on it to clean up undo logs and delete-marked table records that are no longer needed for multiversion concurrency control (MVCC) or rollback operations.

In this post, we highlight common challenges encountered during homogeneous database migrations and how using AWS DMS homogeneous migration can help address them.

In this post, we show how you can visualize vector embeddings and explore semantic similarities. We use PCA for dimensionality reduction. PCA is a well-known dimensionality reduction technique that transforms high-dimensional data into a lower-dimensional space while preserving as much of the original variance as possible. By projecting data onto orthogonal axes called principal components, PCA enables you to visualize the underlying structure of the data in a more manageable form

In this post, we cover important concepts of Aurora provisioned and Aurora Serverless v2 databases including cost, performance, features, and how to determine which to use for your workload type.

In this post, we explore the fundamentals of building containerized applications for Amazon DocumentDB using Quarkus with the Panache ORM library. We cover the processes of containerizing your code, building an image, and deploying it using Amazon ECS with AWS Fargate.

Scopely is a global games developer, operator, and publisher with operations across North America, Central America, EMEA, and Asia, and additional studio partners spanning four continents. Over the past year, Scopely has served more than 500 million players with major titles such as “MONOPOLY GO!,” “Stumble Guys,” “MARVEL Strike Force,” “Star Trek Fleet Command,” and “Scrabble GO.” In this post, we showcase how Scopely used CloudBasix to enable migration of “Stumble Guys” high-volume backend transactional databases with minimal downtime from Azure SQL database to Amazon RDS for Server.

Amazon RDS Custom for SQL Server now allows you to directly join your DB instances to the domains of Microsoft Active Directory (AD). In this post, we show how to join RDS Custom DB instances to an AD for Windows Authentication. This applies to AD domains running in a self-managed environment either on premises or Amazon Elastic Compute Cloud (Amazon EC2) and AWS Managed Microsoft AD.