QA Engineering Performance Analysis: Don’t underestimate the power of the 99th percentile
If you are in the software development or software quality assurance stream, one of the most important facts for you is the performance (The performance of your application). Simply you want your application to run smoothly with an increased amount of a practical load. In order to measure the possibility, you are probably using different tools and methods in the industry. It’s true the tools will get your inputs and give you some results. But still we have a problem in analysing the data to get an idea about our systems performance. Let’s assume you decided to test your systems performance using Jmeter (Find more about Jmeter If you are not aware about it - https://jmeter.apache.org / ). Then you’ll run some tests and get some stats about your system. If you are a newbie you’ll probably think about the Average response time and sometimes you might feel confident after seeing the results. The problem is, although you have a set of positive proof of saying the system runs smooth