The Art of Scalability by Martin L. Abbott Michael T. Fisher & Michael T. Fisher

Author:Martin L. Abbott,Michael T. Fisher & Michael T. Fisher
Language: eng
Format: epub
Publisher: Pearson Education Limited (US titles)
Published: 2015-02-27T16:00:00+00:00

Analyze the Data

Step 5 in the performance testing process is to analyze the data gathered. This analysis can be done in a variety of manners, depending on factors such as the expertise of the analyst, the expectations of thoroughness, the acceptable risk level, and the time allotted. Perhaps the simplest analysis is a comparison of this candidate release with past releases. A query that executes 25 times per second without increased response time in the current release may be a problem if it could execute 50 times per second with no noticeable degradation in performance in the last release. The fun begins in the next step—trying to figure out why this change has occurred. Although decreases in capacity of throughput or increases in response time are clearly items that should be noted for further investigation, the opposite is true as well. A sudden dramatic increase in capacity might indicate that a particular code path has been dropped or SQL conditional statements have been lost; such a change should be noted as a potential target of investigation as well. We hope that in these scenarios an engineer has refactored and improved the performance, but it is best to document this change and ask follow-up questions to confirm it.

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