Finding the Breaking Point: Data-Driven Load Testing with JMeter & Docker

Hey everyone! As a QA engineer, I know how hard it is to create real, data-driven performance tests. Managing dynamic test data and finding the actual breaking point of an application can be a real headache. Recently, I built a complete test environment to solve this problem. I wrote a 3-part series about my solution, and the final architectural deep-dive is now published on ITNEXT. In this article, I explain: • Setting up a local target app with Docker and simulating 1,000 concurrent users. • How to dynamically use CSV files in JMeter for data-driven testing. • How to run heavy tests without GUI mode (CLI mode) to save system resources and get accurate results. (Note: You can also find the links to Part 1 and Part 2 inside this article if you want to see the basics!) If you want to improve your performance testing skills, I think this will help you. I also shared my code snippets and configs. 📖 You can read the full story here: https://itnext.io/jmeter-performance-testing-part-3-findi