Server Response Time Compare
Simple tool to compare response times between two servers. It will launch 1000 requests to both endpoinds with parallelism set to 32. It will then plot the results and print out the average response time for each server including errors and percentage difference between both endpoints.
You can change request count in the srtc.py TOTAL_REQUESTS_PER_URL = 1000 and parallelism in srtc.py CONCURRENT_REQUESTS_PER_URL = 32.
If you need to check two servers and compare response times, this tool is for you. Also would work great to check two different versions of the same server.
Let's say you have two AWS lambdas and you want to determine how much memory it should use. With this tool you will be able to test both lambdas until you hit diminishing returns and choose the one that is the most cost effective.
Python libraries: aiohttp, matplotlib, tqdm.
pip3 install aiohttp matplotlib tqdm
python3 srtc.py https://stanislavromanov.com https://stanislavromanov.com/angular-consulting/
MIT License
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