When we run performance tests, we can configure JMeter to create text files containing the results of a test. JMeter has a great set of features such as the ability to test various protocols/applications/servers, an IDE that allows fast test plan development, dynamic HTML reporting, multithreading and scriptable samplers, and the ability to test using a large number of concurrent users (which is achieved by running multiple instances of JMeter). At WSO2, we use JMeter to test the performance of most of our products. The accuracy of results produced under these methods may vary depending on the underlying algorithm and parameters used.Īpache JMeter™ is a great tool which has been designed to load test the functional behavior of applications and measure their performance. In the case of large datasets, there are methods to estimate the latency percentiles. For example, if 99% latency percentile of your system is equal to 5 ms, it means that 99% of requests served by the system will have latency below 5ms. Since it measures the percentage of requests that has latency below some value, it can be considered as a metric that measures the quality of service of the application/system being evaluated. The "latency percentile" is an important performance metric which is used to analyze the latency. This analysis can be as simple as calculating the average latency/mean latency/latency percentiles or it can be a rather complex process in which we fit distributions to the data to study the characteristics of the latency distribution. Latency analysis is one such important analysis technique in which we analyze the behavior of the latency. There are a number of ways to evaluate the performance of systems using the data collected during a performance test.
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