Understanding Burst vs. Baseline Performance with Amazon RDS GP2 Storage Volumes
Understanding Burst vs. Baseline Performance with Amazon RDS and GP2 | Amazon Web Services 🔗
![When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As you can imagine, latency and IOPS are closely related and […]](https://d2908q01vomqb2.cloudfront.net/887309d048beef83ad3eabf2a79a64a389ab1c9f/2017/07/10/BurstBalance.png "When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As you can imagine, latency and IOPS are closely related and […]")
The text explains the concept of burst vs. baseline performance with Amazon RDS and GP2 storage volumes. It discusses the different types of Amazon RDS volumes, including magnetic and SSD-based storage, and compares Provisioned IOPS (io1) with General Purpose (gp2) storage types. It delves into the performance characteristics of gp2, explaining burst mode and providing examples to illustrate the differences between burst and baseline performance. Additionally, it highlights the author's recommendation of gp2 for database workloads that do not require high consistent performance or a large amount of IOPS.
- Amazon RDS volumes include magnetic and SSD-based storage types
- Comparison between Provisioned IOPS (io1) and General Purpose (gp2) storage types
- Explanation of burst mode and its performance characteristics
- Examples illustrating burst vs. baseline performance with gp2 volumes
- Recommendation of gp2 for certain database workloads