search
HomeBackend DevelopmentPython TutorialHow to use Python scripts for network monitoring on Linux servers

How to use Python scripts for network monitoring on Linux servers

Oct 05, 2023 am 11:29 AM
linuxpythonScriptNetwork Monitoring

How to use Python scripts for network monitoring on Linux servers

How to use Python scripts for network monitoring on Linux servers

Introduction:
With the development of technology and the popularity of the Internet, the Internet has become an important part of people’s lives and an integral part of the job. However, network stability and security have always been important concerns. In order to ensure the normal operation of the server, network monitoring is essential. This article will introduce how to use Python scripts for network monitoring on Linux servers and provide specific code examples.

1. Install the necessary libraries
Before we start, we need to ensure that python-related libraries are installed on the server, including psutil, socket and time.

For Debian and Ubuntu, you can use the following command to install:

sudo apt-get install python-psutil

For CentOS and Fedora, you can use the following command to install:

sudo yum install python2-psutil

2. Obtain the IP address of the server
Before network monitoring, we need to obtain the IP address of the server. This step can be achieved through the socket library. Here is an example:

import socket

def get_ip_address():
    s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    s.connect(("8.8.8.8", 80))
    ip_address = s.getsockname()[0]
    s.close()
    return ip_address

ip_address = get_ip_address()
print("服务器IP地址是:" + ip_address)

The above code creates a socket connection and connects to Google's DNS server, and then obtains the IP address of the server.

3. Check the server’s network connection
Next, we will use the psutil library to check the server’s network connection and obtain related information about the network connection. The following is an example:

import psutil

def check_network_connection():
    connections = psutil.net_connections()
    for connection in connections:
        if connection.status == 'ESTABLISHED':
            print("本地地址:%s,远程地址:%s,状态:%s" % (connection.laddr, connection.raddr, connection.status))

check_network_connection()

The above code uses the net_connections method of the psutil library to obtain the server's network connection list, and prints out the local address, remote address and connection status of all connections with a status of ESTABLISHED.

4. Monitoring the server’s network bandwidth
Monitoring the server’s network bandwidth is very important for evaluating network conditions and optimizing server performance. We can use the psutil library to monitor network bandwidth. The following is an example:

import psutil

def measure_network_bandwidth():
    network_interface = psutil.net_io_counters(pernic=True)
    for interface, data in network_interface.items():
        print("接口:%s,接收字节数:%s,发送字节数:%s" % (interface, data.bytes_recv, data.bytes_sent))

measure_network_bandwidth()

The above code uses the net_io_counters method of the psutil library to obtain the server's network interface data, and prints out the number of received bytes and the number of sent bytes for each interface.

Conclusion:
Network monitoring on a Linux server is a simple and effective way by using Python scripts. This article explains how to use Python scripts to obtain the server's IP address, check network connections, and monitor network bandwidth. These functions can help us evaluate network conditions, optimize server performance and detect potential problems in a timely manner.

Note: The code examples provided in this article are for reference only. Actual application may require appropriate modification and optimization based on the actual situation.

The above is the detailed content of How to use Python scripts for network monitoring on Linux servers. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python and Time: Making the Most of Your Study TimePython and Time: Making the Most of Your Study TimeApr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Games, GUIs, and MorePython: Games, GUIs, and MoreApr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python vs. C  : Applications and Use Cases ComparedPython vs. C : Applications and Use Cases ComparedApr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

The 2-Hour Python Plan: A Realistic ApproachThe 2-Hour Python Plan: A Realistic ApproachApr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python: Exploring Its Primary ApplicationsPython: Exploring Its Primary ApplicationsApr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

How Much Python Can You Learn in 2 Hours?How Much Python Can You Learn in 2 Hours?Apr 09, 2025 pm 04:33 PM

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics in project and problem-driven methods within 10 hours?How to teach computer novice programming basics in project and problem-driven methods within 10 hours?Apr 02, 2025 am 07:18 AM

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading?How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading?Apr 02, 2025 am 07:15 AM

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool