Operation and Maintenance
Linux Operation and Maintenance
Resource usage of GitLab in Debian system
Resource usage of GitLab in Debian system
In Debian systems, the resource usage of GitLab is an important consideration, especially when performing high-load operations such as CI/CD. The following are detailed analysis and suggestions on GitLab resource usage:
Resource occupation overview
- CPU Usage : After GitLab is running, the average CPU usage may remain around 30%, but under high load conditions, such as frequent CI/CD operations, CPU usage may soar.
- Memory usage : Memory usage is usually maintained at around 75%. Once someone starts to access GitLab pages for operations, the memory usage may be directly full, and the CPU usage will also increase.
- Disk Space : The necessary storage space depends on the size of the archive you store in GitLab, and it is recommended to have at least the same available space as all archive combinations.
Resource optimization suggestions
- Hardware configuration : Adjust the hardware configuration according to the actual user scale and number of projects, configure at least 4 cores of CPU, recommend at least 8GB or more memory, and sufficient SSD storage space to improve IO performance.
- Configuration optimization : By adjusting GitLab's configuration files, such as increasing the number of concurrent connections, setting a reasonable timeout time, enabling Redis cache, etc., you can significantly improve performance.
- Use monitoring tools : Use bashtop and other tools to monitor system resources, performance and errors in real time, so as to promptly discover and resolve potential problems.
Introduction to performance monitoring tools
- bashtop : A terminal-based resource monitoring utility that can visually display statistics on CPU, memory, running processes and bandwidth, and allows processes to be sorted and sent.
In short, through the above measures, the resource occupation of GitLab in the Debian system can be effectively managed and optimized, ensuring the stability and efficient operation of the system.
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