Practical guide
Size storage IOPS and throughput without mixing the units
A practical storage sizing example that converts workload IOPS and block size to throughput before checking platform limits.
Updated
Record both operations per second and average transfer size when sizing storage. Either number alone can hide the actual data rate.
Worked workload profile
Suppose monitoring shows 8,000 IOPS with an average 32 KiB operation. The arithmetic throughput is 8,000 × 32 ÷ 1,024 = 250 MiB/s. A proposed configuration must support the IOPS, throughput, and latency targets simultaneously; meeting only one is insufficient.
Enter the measured values in the IOPS and throughput calculator, then compare the result with documented volume and instance limits. Continue to the EBS cost calculator or Persistent Disk cost calculator for cost inputs.
Edge cases
An average can conceal bursts and mixed I/O sizes. Cache hits may also remove operations before they reach storage. Use a representative observation window, preserve high-percentile latency separately, and do not present the arithmetic conversion as a benchmark.