Solutions

Multi-tiered observation objects and corresponding metric management systems are fully meta-data enabled. This supports building unified observation models across infrastructure, middleware, databases, applications, and business layers. Leveraging this unified object system delivers significant convenience in unified visualization, alert configuration, and one-stop troubleshooting.

Integrates CMDB, monitoring, and APM capabilities to map end-to-end panoramic link topologies. It connects business dimensions from application systems to foundational components, container OS, and finally links with hardware monitoring for a complete chain view, enabling unified observation. Simultaneously, it integrates alerts and logs to facilitate risk warnings, issue tracking, root cause identification, and delivers comprehensive, powerful fault localization capabilities.

Deeply integrates with BlueWhale CMDB, automated operations platforms, and ticketing systems. Alerts automatically correlate with CMDB field data to rapidly enrich alert context, significantly enhancing fault resolution accuracy and decision efficiency. Observation topology bidirectionally synchronizes with automated Operation tools, enabling precise prediction of upstream/downstream impact during change operations to effectively control risk propagation. Seamless integration with the ticket system intelligently routes responsibilities based on fault correlation paths, ensuring timely risk alerts and efficient closed-loop resolution workflows. This comprehensively enhances system stability and iteration efficiency.

Leveraging the BlueWhale Data Platform and AI Mining Platform, build intelligent monitoring and analysis capabilities covering core scenarios such as anomaly detection, dynamic threshold, trend prediction, and root cause analysis. Deep integration with Large Language Models technology significantly enhances intelligent alert assessment and resolution , lowering technical barriers for operations personnel ,achieving leapfrog improvements in fault response speed and handling efficiency.