Online service abnormality monitoring method

The invention discloses an online service abnormality monitoring method. The method includes the following steps: acquiring online service information and historical service information through a datacollection module, and setting service abnormality rules; generating a service abnormality rule base according to the service abnormality rules; performing real-time monitoring on online services according to the service abnormality rule base, judging abnormalities of the online services, and simultaneously adding the identified unmarked service abnormalities to the service abnormality rule base;and reporting and alarming the monitored service abnormalities through an event monitoring module. The scheme of the invention has the significant effects that: historical data and online data are comprehensively considered, the service abnormalities can be identified more comprehensively and accurately through a self-incremental learning method, and the deficiency of an online service abnormality monitoring method in the