AWS Database Blog

How Claroty Improved Database Performance and Scaled the Claroty xDome Platform using Amazon Aurora Optimized Reads

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.

Unlock cost savings using compression with Amazon DocumentDB

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.

Achieve a high-speed InnoDB purge on Amazon RDS for MySQL and Amazon Aurora MySQL

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.

Visualize vector embeddings stored in Amazon Aurora PostgreSQL and explore semantic similarities

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

Build containerized applications for Amazon DocumentDB that run on Amazon ECS on AWS Fargate

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.

How Scopely scaled “Stumble Guys” for millions of players around the globe with Amazon RDS for SQL Server

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 supports Windows Authentication for DB instances

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.

Automatic reconnection to Amazon RDS for Oracle read replicas during disaster recovery

Amazon RDS for Oracle offers ease of operability, maintenance, scalability, and reliability while migrating Oracle workloads to AWS. The read replica in Amazon RDS for Oracle is a physical copy of the primary database that can be set up either in mounted or read-only mode. In mounted mode, the replica instance isn’t open for read operations, however in read-only mode, it allows read operations on the replica instance. During managed Oracle Data Guard Switchover with Oracle RDS for Oracle, the database role reversal takes place between the RDS for Oracle primary database and its replica. Similarly, in case of a disaster, you can promote the read replica to a standalone instance. In both scenarios, the application needs to point to the endpoint of the new primary database to establish connectivity. In this post, we provide guidance to configure the automatic reconnection of the application to a standby database during a disaster recovery incident while using replication with Oracle Data Guard using Oracle services and a TNS names connection alias.