Posted On: Jun 4, 2020

Amazon Aurora with PostgreSQL compatibility now supports T3.large instances, in addition to the T3.medium and R5 class instances already available. Using T3.large instances with Amazon Aurora PostgreSQL is a cost-effective option for smaller workloads such as test, dev, and QA, while still giving you the option to use larger class instances for production deployments.

T3 instances provide a baseline level of CPU performance, with the ability to burst CPU usage at any time for as long as required. They offer a balance of compute, memory, and network resources and are ideal for database workloads with moderate CPU usage that experience temporary spikes in use.

When a workload is operating below the baseline threshold, your T3 instance accumulates CPU credits. Each earned CPU credit provides the instance with the opportunity to burst with the performance of a full CPU core for one minute when needed. Amazon Aurora T3 instances are configured for Unlimited Mode, which means they can burst beyond the baseline over a 24-hour window for an additional charge.

You can easily create a new Aurora PostgreSQL T3 instance, or modify your existing Aurora database instance to scale to T3, in the Amazon RDS Management Console. Please refer to the Amazon Aurora User Guide for more details, and to find out which Aurora versions are supported. For pricing and regional availability, see Amazon Aurora Pricing.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. To learn more about Amazon Aurora with PostgreSQL compatibility, please visit our product page.