This article will discuss the tools and techniques used during server Benchmark Testing.
There is no single benchmark tool to meet all the performance measurement requirements of the system administrator. The Administrator should use multiple tools for benchmarking and parameter testing, and compare their results to ensure the accuracy of the test data. In this article, I will outline the role of stress testing in benchmarking and recommend several mainstream tools for testing engineers.
Stress Benchmark Test
Stress Testing, also known as load testing, is the stability of engineers testing in a specific enterprise environment, but it does not place servers in the actual production environment.
In practice, test engineers should test the server performance and the type of applications to be executed based on unique server content. Benchmark Testing and Indicator Testing usually focus on the simulated applications to be run on the server for stress testing and hardware performance evaluation in the job environment. The purpose is to simulate the actual environment as practically as possible. This requires observation of user load, network traffic testing, processor utilization, and memory allocation.
In a simulated environment, the test server must provide test engineers with the freedom to choose the infrastructure resources. Generally, the server is not subjected to a stress test. Instead, the server is placed in an on-site environment for an "actual load" test. You do not have to modify the real-time data on the production server to directly perform the test. On the other hand, you do not need to change the server settings, because it does not depend much on this.
However, please note that these tests are all run in a simulated environment. Therefore, the results may differ greatly from the server test results in the field environment. The test engineer should not have the idea that the server settings in the test environment are the same as those in the field environment. Remember the most critical point: any variable added to the simulated environment will affect server performance testing. The test results will be affected whether an engineer adds 1 gb ram or additional users to the server.