A simple Python application to correlate JMeter results with Windows Performance Monitor
Author: Simon Cottrill
https://github.com/tastyworm/jmeter_perfmon_correlator
Version | Date | Author | Changes |
---|---|---|---|
1.0 | 2024-06-24 | Simon Cottrill | Initial release |
This is a very simple utility built in Python with the Streamlit framework that correlates JMeter /JTL data with Windows Performance Monitor files in an attempt to help identify potential performance-issues.
- JMeter transaction filters
- Perfmon counter filters
- Visual chart creation for each correlation
- Python
- Poetry (installed using
pip install poetry
)
- From the root folder of this repository type 'poetry update'
- Start the application by running
streamlit run main.py
- A browser window should open, but if it doesn't go to the URL provided after starting rpum.