Server Load Monitor WordPress Plugin
OPTICAL CODERS Server Monitor is a WordPress plugin that tracks CPU load, memory usage, disk activity, and request logs directly inside the admin dashboard, helping identify slow pages, heavy processes, and performance issues with real-time insights and detailed timestamps for faster troubleshooting.
Version History
Version 8.2.2
- Fixed missing Last Seen timestamps in Top Slow Pages and Likely Heavy Areas
- Unified timestamp rendering across all Heavy Usage Summary tables
- Improved consistency between PHP and JavaScript rendering layers
Version 8.2.1
- Fixed refresh behavior where timestamp columns disappeared after reload
- Ensured Heavy Usage Summary tables retain structure during live updates
Version 8.2.0
- Introduced Last Seen timestamps across summary tables
- Standardized timestamp format for easier troubleshooting
Version 8.1.x
- Improved timestamp formatting across Running Logs
- Expanded logging visibility for troubleshooting workflows
Version 8.0.x
- Full OPTICAL CODERS rebrand
- Restored full dashboard UI, cards, and responsive tables
- Fixed CSS and asset loading issues
Version 7.x
- Built advanced monitoring dashboard with logs and heavy usage summaries
- Added CPU normalization, memory tracking, and request analysis
- Introduced copyable URL functionality and responsive admin UI
Version 6.x
- Introduced structured request logging system
- Added execution time and memory tracking per request
- Early versions of heavy usage detection
Version 5.x
- Added admin dashboard UI for monitoring
- Improved data collection reliability across environments
Version 4.x
- Introduced performance logging hooks into WordPress lifecycle
- Initial tracking of request execution and memory usage
Version 3.x
- Added basic request logging and timing system
- Improved compatibility with frontend and admin requests
Version 2.x
- Expanded logging to include memory usage
- Improved stability across different hosting environments
Version 1.0
- Initial internal release
- Basic request tracking and performance logging foundation