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(Christoph Meissner) When it comes to exploit jmeters logfiles generated by many clients over a long testing period one might run into time consuming efforts putting all data together into charts. Present charts of jmeter relate response time with to throughput. If you are working in larger enterprise environments it might also be interesting to see the relationship to the number of users who caused the requests. This applies even more when your company must make sure that it's application(s) have to applications can supply a certain number of employees over all day. Also it is very interesting to get a feeling in which range response times deviate as soon as your application(s) applications get stressed.

To reduce effort I wrote a Perl script that 'd like to present one of my Perl scripts here. It parses any number of jmeter logs and aggregates the data into several different charts (examples follow below):

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