Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revision |
| ai_advanced_monitoring [2025/06/18 18:48] – [AI Advanced Monitoring] eagleeyenebula | ai_advanced_monitoring [2025/06/18 18:53] (current) – [AI Advanced Monitoring] eagleeyenebula |
|---|
| ====== AI Advanced Monitoring ====== | ====== AI Advanced Monitoring ====== |
| [[https://autobotsolutions.com/aurora/wiki/doku.php?id=ai_infinite_consciousnessdoku.php?id=ai_advanced_monitoring|Wiki]]: [[https://autobotsolutions.com/god/templates/ai_advanced_monitoring.html|Framework]]: [[https://github.com/AutoBotSolutions/Aurora/blob/Aurora/ai_advanced_monitoring.py|GitHub]]: [[https://autobotsolutions.com/g-o-d-framework/ai-advanced-monitoring-insights-and-performance-tracking-for-ai-pipelines/|Article]] | [[https://autobotsolutions.com/aurora/wiki/doku.php?id=ai_infinite_consciousnessdoku.php?id=ai_advanced_monitoring|Wiki]]: [[https://autobotsolutions.com/god/templates/ai_advanced_monitoring.html|Framework]]: [[https://github.com/AutoBotSolutions/Aurora/blob/Aurora/ai_advanced_monitoring.py|GitHub]]: [[https://autobotsolutions.com/g-o-d-framework/ai-advanced-monitoring-insights-and-performance-tracking-for-ai-pipelines/|Article]]: |
| |
| |
| |
| |
| ===== Overview ===== | |
| The AI Advanced Monitoring script is a vital component of the G.O.D. Framework, designed to provide advanced system and performance monitoring capabilities. It tracks system utilization, AI model performance metrics, and latency statistics in real-time, enabling developers and operations teams to maintain efficient and stable systems during production workflows. | The AI Advanced Monitoring script is a vital component of the G.O.D. Framework, designed to provide advanced system and performance monitoring capabilities. It tracks system utilization, AI model performance metrics, and latency statistics in real-time, enabling developers and operations teams to maintain efficient and stable systems during production workflows. |
| |