Performance Monitoring Tools

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  1. Performance Monitoring Tools

This article details several tools useful for monitoring the performance of a MediaWiki installation, focusing on server-side metrics. Understanding these metrics is crucial for maintaining a responsive and stable wiki, especially as user base and content volume grow. This guide is aimed at system administrators and experienced wiki operators.

Why Monitor Performance?

Proactive performance monitoring allows you to identify bottlenecks *before* they impact users. Key benefits include:

  • Reduced downtime: Early detection of issues can prevent server crashes or significant slowdowns.
  • Improved user experience: A fast and responsive wiki encourages contributions and engagement.
  • Capacity planning: Understanding resource usage helps predict when upgrades are needed.
  • Security insights: Unusual activity patterns can indicate potential security breaches.
  • Optimized configuration: Monitoring helps determine the effectiveness of configuration changes. See Manual:Configuration for information on wiki configuration.

Core System Monitoring Tools

These tools provide a fundamental understanding of your server's health.

`top` and `htop`

`top` is a command-line utility displaying real-time system resource usage. `htop` is an improved, interactive version. Both show CPU usage, memory consumption, running processes, and more. They are available on most Linux distributions.

Feature Description
Command `top` or `htop`
Operating System Linux, macOS, Unix
Metrics CPU usage, memory usage, process list, load average
Interaction `top` is limited; `htop` is interactive (sorting, filtering, killing processes)

`vmstat`

`vmstat` (Virtual Memory Statistics) reports information about processes, memory, paging, block IO, traps, and CPU activity. It's useful for identifying memory pressure and disk I/O bottlenecks. See Help:System administration for more details on server administration.

`iostat`

`iostat` provides detailed disk I/O statistics. This is critical for identifying slow disk performance, which can severely impact MediaWiki. Database queries rely heavily on disk I/O, so this is particularly important.

`netstat` and `ss`

`netstat` displays network connections, routing tables, interface statistics, masquerade connections, and multicast memberships. `ss` is a newer, faster alternative. They help diagnose network-related issues. Review Manual:Network configuration for relevant network settings.

Application-Specific Monitoring

These tools focus on monitoring the performance of the web server (Apache or Nginx) and the database (typically MySQL/MariaDB).

Apache/Nginx Status Modules

  • **Apache:** Enable `mod_status`. This provides a webpage with real-time server statistics. Configuration details are in Apache/Web server documentation.
  • **Nginx:** Use the `ngx_http_stub_status_module`. Similar to Apache's `mod_status`, it provides a webpage with server metrics.
Web Server Status Module Metrics
Apache `mod_status` Requests per second, active connections, CPU usage, server uptime
Nginx `ngx_http_stub_status_module` Active connections, accepts, handled requests, reading, writing, waiting

MySQL/MariaDB Monitoring

  • **`mysqladmin`:** A command-line client for administering MySQL/MariaDB. Use `mysqladmin status` to view server statistics. See Database setup for more details.
  • **`SHOW GLOBAL STATUS`:** A SQL command that provides extensive server statistics.
  • **`SHOW PROCESSLIST`:** A SQL command that displays currently running queries. Useful for identifying long-running or problematic queries.
  • **Percona Toolkit:** A collection of advanced MySQL/MariaDB monitoring and management tools.
Metric Description Importance
Connections Number of active connections to the database. High
Queries Number of queries executed. Medium
Slow Queries Number of queries taking longer than a specified time. High
Key Buffer Hit Ratio (MySQL) / InnoDB Buffer Pool Hit Ratio (MariaDB) Percentage of data found in the buffer pool, avoiding disk I/O. High

Advanced Monitoring Solutions

For more comprehensive monitoring, consider these solutions:

  • **Nagios/Icinga:** Open-source monitoring systems that can check the status of various services and alert you to problems. See Server security for related security considerations.
  • **Zabbix:** Another open-source monitoring solution with advanced features like network monitoring and visualization.
  • **Prometheus & Grafana:** A popular combination for collecting and visualizing metrics, especially in containerized environments.
  • **New Relic/Datadog:** Commercial monitoring solutions with extensive features and integrations.

Log Analysis

Regularly reviewing server logs (Apache/Nginx error logs, MySQL/MariaDB error logs, PHP error logs) can provide valuable insights into performance issues and errors. Using tools like `grep`, `awk`, and `tail` can help you filter and analyze log data. Refer to Configuration changes when making adjustments.

Conclusion

Effective performance monitoring is essential for maintaining a healthy and responsive MediaWiki installation. By utilizing the tools described in this article, you can proactively identify and resolve performance bottlenecks, ensuring a positive experience for your users. Don't forget to consult the official documentation for each tool for detailed configuration instructions. See also MediaWiki statistics for wiki specific metrics.


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.* ⚠️

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