Applications are the backbone of any Data Center, and it is crucial to ensure optimal storage performance to meet the expectations of clients and employees. However, the storage industry often confuses buyers by focusing solely on IOPS (Input/Output Operations Per Second) when discussing flash storage performance. While IOPS is an important metric, it does not provide a complete picture of performance. IT professionals should also consider latency and throughput when measuring storage performance to address this. By considering these additional factors, a more accurate understanding of the storage infrastructure can be obtained.
Throughput, IOPS, and latency are key performance metrics in computing systems
It is common for people to mix up IOPS, throughput, and latency when discussing storage performance, as they share similarities. Some individuals have even started to confuse bandwidth with these performance metrics. To avoid confusion, it is important to understand the distinctions between these terms. Here are their descriptions and some conceptual tips to help differentiate them.
Throughput
Throughput is a storage metric that quantifies the volume of data that can pass through a specific point in the data path within a specified time frame. It is particularly useful for measuring the efficiency of streaming data, such as video files and images, that require rapid transmission.
IOPS
Numerous flash vendors utilize IOPS as a performance metric. IOPS, which stands for Input/Output operations per second, quantifies the number of storage transactions processed by a system within a single second. This measurement is particularly effective for evaluating the performance of smaller data objects such as web traffic logs.
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