Multi-service system automatic centralized monitoring management method and system
By automatically identifying monitoring elements through distributed data acquisition and pattern recognition algorithms, dynamically generating policy rules, and using a graph computing engine to build a dependency graph, the system solves the problems of automation and intelligence in monitoring multiple business systems, and achieves efficient monitoring management.
CN121501609BActive Publication Date: 2026-06-02SHENZHEN PANGU DATA CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN PANGU DATA CO LTD
- Filing Date
- 2026-01-13
- Publication Date
- 2026-06-02
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Figure CN121501609B_ABST
Abstract
The application relates to the technical field of operation and maintenance monitoring, and discloses a multi-service system automatic centralized monitoring management method and system. The method captures multi-service system monitoring data streams in real time through a distributed data collection agent, carries out noise filtering and format standardization processing to generate standardized monitoring data sequences, automatically identifies monitoring elements in the service system based on the standardized sequences by using a pattern recognition algorithm, encapsulates each element as a monitoring entity, dynamically generates monitoring strategy rules according to the characteristics and correlation of the monitoring entities, saves the monitoring strategy rules to a monitoring strategy knowledge graph, analyzes the logical relationship of the strategy rules in the knowledge graph, uses a graph calculation engine to build a monitoring strategy dependency graph, carries out structural integrity checking and performance optimization on the dependency graph to ensure the executability of the dependency graph, deploys monitoring executors to target service systems according to the optimized dependency graph to start an automatic monitoring process, and collects monitoring executor return data in real time to generate a monitoring analysis report.
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