


How to set up real-time log monitoring on Linux
How to set up real-time log monitoring on Linux
Abstract: In Linux systems, real-time log monitoring is a very useful tool, which can help us obtain system logs and log information of specific applications in real time. This article will introduce how to set up real-time log monitoring on a Linux system and provide corresponding code examples.
1. Introduction
Real-time log monitoring is a tool that can view system log information in real time. It can help us quickly discover abnormal behavior of the system or application. In Linux systems, we can use some tools and commands to achieve real-time log monitoring, such as the tail command, journalctl tool, etc.
2. Use the tail command to implement real-time log monitoring
The tail command is a commonly used command in Linux systems. It can be used to view the updated content of files in real time. We can use the tail command to implement real-time log monitoring. The specific steps are as follows:
-
Open the terminal and enter the following command:
tail -f /var/log/syslog
Copy after loginThe above command will output the system log in real time The latest contents of file/syslog.
- If we want to view the log information of a specific application in real time, we can change the log file path in the command to the corresponding application log file path.
3. Use journalctl command to implement real-time log monitoring
journalctl command is a tool used in Linux systems to query and manage system log information. We can use the journalctl command to achieve real-time log monitoring. The specific steps are as follows:
Open the terminal and enter the following command:
journalctl -f
Copy after loginThe above command will output the system in real time Log information.
If we want to view the log information of a specific application in real time, we can add the corresponding filter conditions to the command, such as the name of the application:
journalctl -f -u application.service
Copy after loginThe above command Log information for specific applications will be output in real time.
4. Additional functions: real-time filtering and saving logs
In addition to viewing logs in real time, we can also filter logs and save them to specified files. The following is a sample code:
import subprocess def monitor_log(): log_file_path = "/var/log/syslog" # 日志文件路径 output_file_path = "/tmp/syslog_filtered.log" # 过滤后的日志文件保存路径 subprocess.Popen( ["tail", "-f", log_file_path], stdout=subprocess.PIPE, stderr=subprocess.PIPE ) while True: line = input() # 从终端输入读取每一行日志 if "error" in line.lower(): # 过滤包含关键字"error"的日志 with open(output_file_path, "a") as f: f.write(line + " ") # 将过滤后的日志写入指定文件 if __name__ == "__main__": monitor_log()
The above code uses Python's subprocess module to call the tail command to implement real-time log monitoring, and filters the logs and saves them to a specified file by entering instructions.
Conclusion:
Real-time log monitoring is very useful in Linux systems, it can help us instantly discover abnormal behavior of the system or application. By using the tail command or journalctl command, we can achieve real-time monitoring of system logs or specific application logs. At the same time, we can further improve the effect of log monitoring by filtering and saving logs. I hope the code examples provided in this article will be helpful to your real-time log monitoring.
The above is the detailed content of How to set up real-time log monitoring on Linux. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

The key differences between CentOS and Ubuntu are: origin (CentOS originates from Red Hat, for enterprises; Ubuntu originates from Debian, for individuals), package management (CentOS uses yum, focusing on stability; Ubuntu uses apt, for high update frequency), support cycle (CentOS provides 10 years of support, Ubuntu provides 5 years of LTS support), community support (CentOS focuses on stability, Ubuntu provides a wide range of tutorials and documents), uses (CentOS is biased towards servers, Ubuntu is suitable for servers and desktops), other differences include installation simplicity (CentOS is thin)

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

VS Code To switch Chinese mode: Open the settings interface (Windows/Linux: Ctrl, macOS: Cmd,) Search for "Editor: Language" settings Select "Chinese" in the drop-down menu Save settings and restart VS Code
