With Amazon Aurora Serverless, customers no longer have to provision or manage database capacity. The database automatically starts, scales, and shuts down based on application workload.

Amazon Aurora Serverless removes those headaches as capacity no longer needs to be provisioned in advance. Instead, the database just fires up when needed and winds down the second it’s no ...

The Amazon Aurora Limitless Database has a two-layer architecture consisting of multiple database nodes, either transaction routers or shards. Channy Yun, a principal developer advocate for AWS ...

According to Amazon, the Aurora MySQL database engine adds storage in 10GB increments or on an as-needed basis with a maximum storage capacity of 64TB. It scales linearly as more data is added ...

Amazon Aurora automatically replicates data across multiple Availability Zones and continuously backs up data to Amazon Simple Storage Service (S3), which is designed for “11 nines” percent ...

The offering, called Amazon Aurora I/O-Optimized, made its debut on Thursday. It’s expected to provide cost savings of up to 40% for some workloads.

Amazon Aurora is a MySQL 5.6-compatible relational database service designed to deliver the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of ...

Note that at the highest client thread count, the Amazon Aurora 8xlarge database still had at last 20 percent spare CPU capacity: This particular test was network-limited at the client, which is ...

Aurora is one of the options offered through the Amazon Relational Database Service (DRS), and will now be Amazon’s recommendation for general purpose, full-scale database workloads.

Learn how LogMeIn moved its Oracle databases onto AWS to unlock the scalability and reliability of Amazon Aurora and become a top SaaS company, achieving sub-millisecond database response times.