Method and system for determining fault root cause and computer readable storage medium

Abstract

The embodiment of the invention discloses a method and a system for determining a fault root cause and a computer readable storage medium. According to the method, fault source information is analyzedfrom the three dimensions of multi-time-sequence correlation, data stream correlation and event correlation, and a first fault index and an anomaly index set are acquired; a Pearson-grey correlationcombination method is utilized to calculate the correlation degree between the first fault index and each anomaly index in the corresponding anomaly index set; the anomaly indexes corresponding to thecorrelation degrees meeting a preset threshold are used as a correlation result set; a pre-established fault diagnosis set is queried, a historical diagnosis result set corresponding to the first fault index is acquired; and an intersection of the correlation result set and the historical diagnosis result set is calculated, and the index contained in the intersection is the fault root cause of the first fault index. According to the technical scheme, automatic and intelligent mining and positioning of the root cause of a fault in an e-commerce system are realized, and the problem solving speed of development, operation and maintenance personnel is effectively increased.

Description

technical field [0001] The present invention relates to the technical field of fault analysis, in particular to a method, system and computer-readable storage medium for determining the root cause of a fault. Background technique [0002] With the expansion of business and monitoring scale, the monitoring indicators of e-commerce system are increasing day by day. At the same time, when monitoring indicators fail, it is difficult for development and operation and maintenance engineers to quickly find the root cause of the failure from the massive monitoring indicators. The "alarm storm" greatly interferes with the engineer's thinking of locating the problem; the speed of fault recovery basically depends on the experience and operation speed of the engineer. At present, the industry mainly uses monitoring systems to monitor and collect e-commerce systems in real time, detect abnormalities, and provide fault alarms. [0003] In the face of complex business monitoring and prob...

AI Technical Summary

Problems solved by technology

This method is inefficient through manual investigation, and it takes a long time to analyze and locate the cause of the fault. It is even more difficult to dig out the hidden root cause of the fault.

[0004] A complete monitoring closed loop should include: monitoring collection, abnormal detection, fault alarm, problem location and automatic resolution. The monitoring system in the industry mainly focuses on anomaly detection and fault alarm, and there is still a lack of comprehensive analysis and positioning of faults in e-commerce systems. A complete set of methods and systems

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