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Consider excluding idle time when calculating IOPS and Throughput metrics used for recommendations or add it as an optional way to interpret and view recommendations. The current formula used is the sum of read and write operations dived by time period for IOPS, and the sum of read and write bytes divided by time period for Throughput. It includes both active and idle time in the time period by default:
Read + Write Operations / time period = IOPS
Read + Write Bytes / time period = Throughput
Excluding idle time in the formula provides a different view of performance because it's only measuring when it's active. This can be then used for ensuring that resources have been sized and provisioned appropriately. Including idle time lowers the overall IOPS and Throughput measurements, excluding it increases the measurements.
The formula would be:
Read + Write Operations / time period - idle time = IOPS
Read + Write Bytes / time period - idle time = Throughput
If the time period is one hour (60 x 60 = 3600 seconds) but the resource was idle 95% of the time, it would be 3600 - 3420 = 180. The difference would be significant, using data provided by BMO, previously submitted to the team, and uploaded herein:
43 + 3,814 / 3600 = 1.1 IOPS
vs
43 + 3,814 / 180 = 21 IOPS
Link to AWS article regarding same:
Idea priority | Low |
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