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# JMeter Performance Testing (Part 3): Finding the Breaking Point with Data-Driven Scenarios

**[ITNEXT](https://daily.dev/sources/itnext)** · 5 min read · 0 upvotes · 0 comments

## Summary

Part 3 of a JMeter performance testing series focuses on data-driven load testing using CSV Data Set Config to simulate realistic multi-user traffic. A Python script generates 5,000 unique user credentials injected into JMeter via parameterization. Two test runs are compared: 100 concurrent users yield a 0% error rate and 239ms average response time, while 1,000 concurrent users expose the system's breaking point with a ~40% error rate, 4.6s average response time, and max response times of ~55 seconds. CPU saturation and MySQL database connection pool exhaustion are identified as the primary bottlenecks in the local Docker environment.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/jmeter-performance-testing-part-3-finding-the-breaking-point-with-data-driven-scenarios-0d7b7924b5a3>

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---

Tags: [#python](https://daily.dev/tags/python), [#testing](https://daily.dev/tags/testing), [#docker](https://daily.dev/tags/docker), [#load-testing](https://daily.dev/tags/load-testing)

[View this post on daily.dev](https://daily.dev/posts/jmeter-performance-testing-part-3-finding-the-breaking-point-with-data-driven-scenarios-woqjc0ais)

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