AWS Database Blog

Amazon RDS Performance Insights is a feature that monitors Amazon RDS database instances so that you can analyze and troubleshoot database performance. You can view Performance Insights data in the AWS Management Console. Alternatively, Performance Insights provides a public API so that you can query your own data. You can use this API to ingest […]

Amazon Aurora Serverless is an on-demand, automatically scaling configuration for Amazon Aurora (MySQL-compatible edition). The database automatically starts up, shuts down, and scales capacity based on your application’s needs. It enables you to run your database in the cloud without managing any database instances. It’s a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. Recently, AWS […]

Customers are increasingly choosing to encrypt their AWS Cloud databases and data stores by default. This trend is only gaining speed with the evolving meaning of sensitive data (personally identifiable information [PII], etc.) within various regulatory frameworks. Customers also ask AWS for guidance on how to best adopt the latest database encryption options, while maintaining […]

Enterprise customers who are currently running on-premises, mission-critical applications on commercial databases are looking for cost-efficient, managed database service offerings. Amazon RDS is one of the target platforms for the relational database workload migration. RDS provides resizable capacity and manages time-consuming and undifferentiated heavy lifting administration tasks. For large-scale database migrations, there is a need […]

Gaming leaderboards enable players to gauge their performance against each other. This important social feature increases players’ engagement and encourages competition. Leaderboard data can also inform in-game algorithms that match players against competitors of similar skill levels. In this post, I explore the challenges around building and scaling gaming leaderboards using traditional relational databases. I […]

AWS now supports new data transformation capabilities in the latest AWS Database Migration Service (AWS DMS) version 3.1.3. You can change schema, table, and column names; specify individual tablespace names for Oracle targets; and update a table’s primary and unique key on any target. DMS version 3.1.3 supports the following new data transformation capabilities: Explicit table […]

Amazon ElastiCache has become synonymous with real-time applications. Redis’ high performance, simplicity, and support for diverse data structures have made it one of the most popular non-relational key value stores. With the growth of business-critical, real-time use cases on Redis, ensuring availability becomes an important consideration. To provide high availability, Amazon ElastiCache for Redis supports […]

This post describes how our team inexpensively provided simple output for the empirical analysis of Amazon DynamoDB queries. Our goal was to take a legacy DynamoDB database, transform the data in a novel way, and then store it in a new DynamoDB database. After eight months of hard work on our project, we decided to […]

As your business grows increasingly global, your database needs similarly expand. Resources must be just as available to your team in Zurich as they are to your office in Beijing, with the same speed, security, and ease of access. Amazon Aurora Global Database expands your Amazon Aurora database across the planet. Aurora builds its storage volumes […]

In this post, we demonstrate how Amazon DynamoDB table structure can affect scan performance and offer techniques for optimizing table scan times. Amazon DynamoDB is a NoSQL database that allows for a flexible schema. This means that items in the same table may differ from each other in terms of what attributes are present for each […]