Performance Monitoring Guide
- Performance Monitoring Guide
This guide provides newcomers to our MediaWiki site with information on monitoring server performance. Consistent monitoring is crucial for maintaining a stable and responsive wiki experience. This article covers key metrics, tools, and best practices for ensuring optimal performance.
Understanding Key Performance Indicators (KPIs)
Several key performance indicators (KPIs) should be regularly monitored to identify potential bottlenecks and issues. These include CPU usage, memory consumption, disk I/O, network traffic, and database performance. Understanding these metrics will allow you to proactively address problems before they impact users. See also Special:Statistics for basic site statistics.
CPU Usage
High CPU usage can indicate that the server is struggling to handle the current workload. This could be caused by complex queries, excessive user activity, or inefficient code. Monitoring CPU usage helps identify processes consuming excessive resources. See Manual:Configuration settings for guidance on optimizing the wiki’s configuration.
Memory Consumption
Insufficient memory can lead to swapping, significantly impacting performance. Monitoring memory usage helps determine if the server has enough RAM to handle the workload and if memory leaks are occurring. For more information on memory-related issues, refer to Help:Tracking down performance issues.
Disk I/O
High disk I/O indicates that the server is spending a significant amount of time reading from and writing to disk. This can be caused by frequent database queries, large file uploads, or insufficient disk caching. Consider using a faster storage solution, such as an SSD, if disk I/O is consistently high. See Manual:Upgrading PHP for information on PHP extensions affecting disk usage.
Network Traffic
Monitoring network traffic helps identify potential network bottlenecks or denial-of-service attacks. Excessive traffic can saturate the network connection, leading to slow response times. Consult Help:Spam prevention for information on mitigating malicious traffic.
Database Performance
The database is often the bottleneck in a MediaWiki installation. Monitoring database query times, connection usage, and cache hit ratios is crucial for maintaining performance. See Manual:Database setup for details on database configuration.
Tools for Performance Monitoring
Several tools can be used to monitor server performance. The choice of tools depends on your operating system and technical expertise.
Command-Line Tools
For Linux systems, command-line tools like `top`, `htop`, `vmstat`, `iostat`, and `netstat` provide real-time performance data. These tools are excellent for quickly identifying resource bottlenecks.
Graphical Monitoring Tools
Graphical monitoring tools, such as Grafana, Prometheus, and Nagios, provide a more comprehensive view of server performance over time. These tools allow you to create custom dashboards and set up alerts for critical events. See Help:System administration for a more complex overview of system monitoring.
MediaWiki Extensions
While limited, some MediaWiki extensions can provide basic performance insights. Extensions like Extension:PerformanceLog can log slow queries and other performance-related events.
Server Specifications and Recommended Configurations
The following tables outline recommended server specifications for different MediaWiki installation sizes. These are guidelines and may need adjustments based on your specific needs and workload.
| Installation Size | CPU Cores | RAM (GB) | Disk Space (GB) | Expected Concurrent Users |
|---|---|---|---|---|
| Small (Under 10,000 articles) | 2 | 4 | 50 | 50 |
| Medium (10,000 - 100,000 articles) | 4-8 | 8-16 | 200 | 100-500 |
| Large (Over 100,000 articles) | 8+ | 32+ | 500+ | 500+ |
The above assumes a standard LAMP (Linux, Apache, MySQL, PHP) stack.
Database Server Specifications
The database server requires significant resources, especially for large wikis.
| Component | Minimum | Recommended | Optimal |
|---|---|---|---|
| CPU Cores | 2 | 4-8 | 8+ |
| RAM (GB) | 4 | 8-16 | 32+ |
| Disk Type | HDD | SSD | NVMe SSD |
| Disk Space (GB) | 100 | 200-500 | 1TB+ |
PHP Configuration
Optimizing PHP settings can significantly improve performance.
| PHP Setting | Recommended Value | Description |
|---|---|---|
| memory_limit | 256M - 512M | Maximum amount of memory a script may consume. |
| max_execution_time | 30 | Maximum time in seconds a script is allowed to run. |
| opcache.enable | 1 | Enables the PHP opcode cache. |
| opcache.memory_consumption | 128 - 256 | Amount of memory used by the opcode cache (in MB). |
Proactive Maintenance and Optimization
Regular maintenance and optimization are essential for maintaining optimal performance. This includes tasks such as:
- **Database Optimization:** Regularly run database maintenance tasks, such as optimizing tables and rebuilding indexes. See Manual:Database maintenance.
- **Cache Management:** Ensure that caching mechanisms, such as the object cache and page cache, are properly configured and functioning. Help:Caching provides details on caching.
- **Code Optimization:** Review and optimize custom code and extensions for performance.
- **Log Rotation:** Implement log rotation to prevent log files from consuming excessive disk space.
- **Regular Updates:** Keep the MediaWiki software, PHP, and database server up to date with the latest security patches and performance improvements. See Manual:Upgrading MediaWiki for upgrade instructions.
Conclusion
By understanding key performance indicators, utilizing appropriate monitoring tools, and implementing proactive maintenance practices, you can ensure a stable and responsive MediaWiki experience for all users. Don't hesitate to consult Help:Contents for more information on various aspects of MediaWiki administration.
Intel-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
| Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
| Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
| Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
| Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
| Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
| Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
| Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
| Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
| EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️