What tools do you use for system performance monitoring and testing?

For monitoring and testing system performance in Python, the following tools are often used:

• psutil — a library for obtaining information about CPU load, memory, disks, and network.
• timeit — a module for measuring the execution time of small code snippets.
• cProfile — a built-in profiler for analyzing the performance of the entire application.
• locust — a tool for load testing web applications.
• pytest-benchmark — a plugin for pytest to measure the performance of tested code.

Example of using psutil to monitor CPU load:

import psutil

cpu_percent = psutil.cpu_percent(interval=1)
print(f"CPU Load: {cpu_percent}%")

For load testing a web service, you can write a script in locust that simulates users and measures response time.