![]() Prevent certain denial of service attacks.It lets you fine tune server side settings by re-running the test until it’s optimal.It triggers use-cases that you usually wouldn’t find if you were to do simple function and unit testing.It gives you insights on places where you can improve certain things.You can simulate various scenarios that you know your app may be running into while being in production.You can easily execute this in a lower environment such as QA or Development without disrupting your production server.Similar to above but it also lets you identify any potential misconfigurations or architecture problems.Allows you to test your application under heavy traffic and identify potential issues your code has.However below I’m going to list a few reasons as to why you may want to do it and how load testing can be beneficial for your server setup. For example if you have an API that is only internal and does not have any impact if it goes down then you don’t really need to do load testing.įurthermore if your user base hitting the API is minimal like below 1000 users then your use case is does not warrant to go through that process. Keep in mind that performance and stress testing is very dependent on the use of your application. Below I’m going to list a few reasons as to why you may need it. Why Is Performance And Stress Testing Important Why Is Performance And Stress Testing Importantīefore you start any load testing on your API you probably have the valid question on if it’s important and if you really need it. This is a complete guide and should cover all your questions on using Python to load test your API.Īll code and examples on how to do this can be found in the Github link here. We will go point by point on getting you up and running in less than 5mins, having some background programming knowledge in Python is useful if you want to fine tune our code but it’s not necessary for you to run your stress testing. I have used this successfully in various projects and it works very well and has saved me a ton of trouble and time debugging things. How to do performance and load testing in your API using Python code.Why is stress testing important to perform in your API.We will break down this in the following sections: We will go over How To Stress Test REST API Using Python.ĭid you know that you can use Python to perform your load testing without any external tools or libraries? Introduction How To Stress Test REST API Using Python How To Check The Results For Load Testing.How To Implement Stress Testing For API In Python.How To Setup Environment For Stress Testing.How To Implement A Stress Test For Your API. ![]() How To Load/Performance Test An API Using Python.Why Is Performance And Stress Testing Important.
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