How to view GitLab logs under CentOS
A complete guide to viewing GitLab logs under CentOS system
This article will guide you how to view various logs of GitLab in CentOS system, including main logs, exception logs, and other related logs. Please note that the log file path may vary depending on the GitLab version and installation method. If the following path does not exist, please check the GitLab installation directory and configuration files.
1. Check GitLab main log
Use the following command to view the main log file of the GitLab Rails application:
- Command:
sudo cat /var/log/gitlab/gitlab-rails/production.log
This command displays the entire contents of the production.log
file, which is located in the main log directory of the GitLab Rails application.
2. Check GitLab exception log
To view JSON format exception information for GitLab Rails application, use the following command:
- Command:
sudo cat /var/log/gitlab/gitlab-rails/production_json.log
This log file helps quickly locate and diagnose system problems.
3. Check other important logs
In addition to the above main logs, the following log files may also contain important information:
- GitLab Shell log: Located in the
/var/log/gitlab/gitlab-shell/
directory, it records the execution of GitLab shell commands and the addition of project SSH permissions. - Unicorn log: Located in
/var/log/gitlab/unicorn/
directory, it records the relevant information of the GitLab Web server. - Repocheck log: located in
/var/log/prometheus/
directory (note: this path may vary depending on the installation method).
4. Use journalctl to view system logs
You can use the journalctl
command to view the system logs related to GitLab. For example, check the logs of the GitLab service:
- Command:
journalctl -u gitlab
This command will display all system log information related to the GitLab service.
Through the above methods, you can comprehensively monitor the running status of GitLab, and promptly discover and resolve potential problems. It is recommended to check these log files regularly to ensure stable operation of GitLab.
The above is the detailed content of How to view GitLab logs under CentOS. 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











DMA in C refers to DirectMemoryAccess, a direct memory access technology, allowing hardware devices to directly transmit data to memory without CPU intervention. 1) DMA operation is highly dependent on hardware devices and drivers, and the implementation method varies from system to system. 2) Direct access to memory may bring security risks, and the correctness and security of the code must be ensured. 3) DMA can improve performance, but improper use may lead to degradation of system performance. Through practice and learning, we can master the skills of using DMA and maximize its effectiveness in scenarios such as high-speed data transmission and real-time signal processing.

Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron

The built-in quantization tools on the exchange include: 1. Binance: Provides Binance Futures quantitative module, low handling fees, and supports AI-assisted transactions. 2. OKX (Ouyi): Supports multi-account management and intelligent order routing, and provides institutional-level risk control. The independent quantitative strategy platforms include: 3. 3Commas: drag-and-drop strategy generator, suitable for multi-platform hedging arbitrage. 4. Quadency: Professional-level algorithm strategy library, supporting customized risk thresholds. 5. Pionex: Built-in 16 preset strategy, low transaction fee. Vertical domain tools include: 6. Cryptohopper: cloud-based quantitative platform, supporting 150 technical indicators. 7. Bitsgap:

Handling high DPI display in C can be achieved through the following steps: 1) Understand DPI and scaling, use the operating system API to obtain DPI information and adjust the graphics output; 2) Handle cross-platform compatibility, use cross-platform graphics libraries such as SDL or Qt; 3) Perform performance optimization, improve performance through cache, hardware acceleration, and dynamic adjustment of the details level; 4) Solve common problems, such as blurred text and interface elements are too small, and solve by correctly applying DPI scaling.

C performs well in real-time operating system (RTOS) programming, providing efficient execution efficiency and precise time management. 1) C Meet the needs of RTOS through direct operation of hardware resources and efficient memory management. 2) Using object-oriented features, C can design a flexible task scheduling system. 3) C supports efficient interrupt processing, but dynamic memory allocation and exception processing must be avoided to ensure real-time. 4) Template programming and inline functions help in performance optimization. 5) In practical applications, C can be used to implement an efficient logging system.

Measuring thread performance in C can use the timing tools, performance analysis tools, and custom timers in the standard library. 1. Use the library to measure execution time. 2. Use gprof for performance analysis. The steps include adding the -pg option during compilation, running the program to generate a gmon.out file, and generating a performance report. 3. Use Valgrind's Callgrind module to perform more detailed analysis. The steps include running the program to generate the callgrind.out file and viewing the results using kcachegrind. 4. Custom timers can flexibly measure the execution time of a specific code segment. These methods help to fully understand thread performance and optimize code.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.
