How To Do Performance Testing for the Python API with JMeter
A step by step guide with an example project
Apache JMeter is a software tool that is used for load testing applications on various protocols and technologies. It is written in Java and can be run on any Java-supported platforms such as macOS, Windows, etc. It even offers IDE for the load test development. You can run load tests in two ways: one way with the IDE and another way with the CLI. JMeter can test both dynamic and static resources by providing some inputs while testing. JMeter is multithreaded and can simulate a lot of virtual users.
You can configure JMeter in a distributed way in which you can scale horizontally if you want to scale performance testing for your applications. There are so many types of load tests such as response times of web apps, the number of users that application can handle, Automate load testing in the CI/CD process, etc.
In this post, we will see how to load test the Python REST API and see the response times and the number of users it can handle, etc.
- Prerequisites
- Install JMeter
- Example Project
- Understanding JMeter
- Creating a Test Plan
- Executing a Test Plan
