There are two ways to arrange scripts for the above stress testing tools:ġ. It is also impossible to simulate real business scenarios.
#Python cpu stress test verification
For the pressure test of the health code business, if the login authentication API is omitted in the script, the subsequent APIs such as refreshing the health code and viewing the nucleic acid report will report an error at the permission verification step, and will not execute normal business logic. The focus of this step is to confirm the APIs of the pressure test, without any omissions, and the order of API arrangement must conform to the user's operation logic. Without exception, these tools need to compile the API of the stress test business into a stress test script. Build a stress test scriptĬommonly used stress testing tools in the industry include JMeter, Gatling, Locust, k6, Tsung, Alibaba Cloud PTS, etc. You can flexibly choose a solution according to the stage of your project. The above solutions have their own advantages and disadvantages, and the applicable scenarios are also different. In order to solve these two problems, the industry generally adopts the following solutions:
It will pollute the online data and write the pressure measurement data into the online database It will affect online business and affect users who normally access the systemĢ. If you directly execute stress testing in the production environment, there will be two problems:ġ. The execution environment of stress testing is a common topic.
#Python cpu stress test how to
How to implement an accurate performance pressure test In a sense, stress testing is a verifier of system stability. In addition, through stress testing at different stages, the capacity planning and bottleneck detection of the system are also completed, and the overall capacity of the system is checked and accepted to ensure that the system can indeed withstand the upcoming real online pressure before the sudden traffic peak comes. In order to answer this question, it is necessary to do multiple rounds of stress testing before the system goes online, simulating complex and highly simulated online traffic in advance to verify the high availability of the overall system, which is also a key link in implementing the system high availability solution. For these tools, there is always a problem: how many users can the system withstand at the same time, and in the face of sudden traffic peaks, can the system be guaranteed to run stably without failure? With the popularization of wireless devices and the vigorous construction of 5G, more and more online systems and small programs have become indispensable tools in people's lives. Author: Fuyi, Fengyun Why do pressure test
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