O&M Challenges from Too Many Alerts
Large data centers have massive alert volumes, and O&M personnel face the challenge of alert fatigue...
Core Technical Capabilities of AIOps
AIOps uses machine learning technology to achieve alert convergence, root cause analysis, and fault prediction...
Implementation Practice in SmartBSM
SmartBSM platform integrates AIOps capabilities to help customers achieve intelligent O&M...
- Alert volume reduced by over 70% with significantly improved O&M efficiency,Fault detection time reduced from hours to minutes,Root cause positioning accuracy exceeds 80%,Integration with DCOS hardware alerts covering underlying device risks,Resolution recommendations improve with use based on historical data
Key Point
AIOps construction requires sufficient historical data support; we recommend accumulating more than 3 months of alert and fault data before enabling intelligent analysis capabilities.
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