Python script operation realizes system performance monitoring and optimization under Linux

Python script operation to realize system performance monitoring and optimization under Linux

In the current Internet era, the stability and optimization of system performance is the key for every developer and system administrator Essential work. In Linux systems, Python, as a simple and easy-to-learn scripting language, is widely used in system performance monitoring and optimization.

This article will introduce how to use Python scripts to monitor, analyze and optimize system performance under Linux systems, and give specific code examples.

1. System performance monitoring

System performance monitoring is an important means to understand the operating status of the system under different loads and to promptly discover possible performance bottlenecks. Python provides a wealth of libraries and tools to implement system performance monitoring. Below we will take some commonly used monitoring indicators as examples to introduce how to use Python scripts for system performance monitoring.

1. CPU utilization

CPU utilization is one of the important indicators to measure system performance. You can use the psutil library to obtain the current CPU utilization, and use the matplotlib library to draw the CPU utilization change curve in real time.

import psutil
import matplotlib.pyplot as plt

def get_cpu_usage():
    return psutil.cpu_percent()

def plot_cpu_usage():
    plt.axis([0, 100, 0, 1])
    plt.ion()
    while True:
        cpu_usage = get_cpu_usage()
        plt.scatter(cpu_usage, 0.5, c='r')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_cpu_usage()

2. Memory utilization

Memory utilization is another key indicator in system performance monitoring. You can use the psutil library to obtain the current memory utilization, and use the matplotlib library to draw the memory utilization change curve in real time.

import psutil
import matplotlib.pyplot as plt

def get_memory_usage():
    return psutil.virtual_memory().percent

def plot_memory_usage():
    plt.axis([0, 100, 0, 1])
    plt.ion()
    while True:
        memory_usage = get_memory_usage()
        plt.scatter(memory_usage, 0.5, c='b')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_memory_usage()

3. Network traffic

Network traffic monitoring is one of the important links in system performance monitoring. You can use the psutil library to obtain the current network traffic situation, and use the matplotlib library to draw the network traffic change curve in real time.

import psutil
import matplotlib.pyplot as plt

def get_network_usage():
    io_counters = psutil.net_io_counters()
    return io_counters.bytes_sent, io_counters.bytes_recv

def plot_network_usage():
    plt.axis([0, 10, 0, 1])
    plt.ion()
    while True:
        bytes_sent, bytes_recv = get_network_usage()
        plt.scatter(bytes_sent, 0.5, c='g')
        plt.scatter(bytes_recv, 0.5, c='y')
        plt.pause(1)
        plt.clf()

if __name__ == '__main__':
    plot_network_usage()

2. System performance optimization

System performance optimization is the act of improving system performance by adjusting system configuration and optimizing code. Python scripts can perform system performance optimization related work under Linux systems. Below we will take some common optimization methods as examples to introduce how to use Python scripts to optimize system performance.

1. CPU utilization optimization

By adjusting the CPU scheduling policy to optimize the CPU utilization, you can use a Python script to modify the /proc/sys/kernel of the Linux system /sched_*Related parameters.

def optimize_cpu_usage():
    with open('/proc/sys/kernel/sched_child_runs_first', 'w') as f:
        f.write('1')
    with open('/proc/sys/kernel/sched_child_runs_first', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_cpu_usage()

2. Memory utilization optimization

By adjusting the process memory allocation strategy to optimize memory utilization, you can use Python scripts to modify the Linux system's /proc/ sys/vm/swappinessRelated parameters.

def optimize_memory_usage():
    with open('/proc/sys/vm/swappiness', 'w') as f:
        f.write('10')
    with open('/proc/sys/vm/swappiness', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_memory_usage()

3. Network traffic optimization

By adjusting the network transmission protocol and configuration to optimize network traffic, you can use Python scripts to modify the /proc/sys/ of the Linux system net/* related parameters.

def optimize_network_usage():
    with open('/proc/sys/net/ipv4/tcp_congestion_control', 'w') as f:
        f.write('bic')
    with open('/proc/sys/net/ipv4/tcp_congestion_control', 'r') as f:
        print(f.read())

if __name__ == '__main__':
    optimize_network_usage()

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