System exception monitoring method and apparatus

Abstract

The invention discloses a system exception monitoring method and apparatus. The method comprises the steps of firstly, determining an eigenvalue of each dimension generated by a target system; then according to a pre-trained exception judgment model, determining a probability of generating an exception in the target system; and when the probability is in a small probability interval corresponding to the exception judgment model, determining that the exception is generated in the target system. Through the method provided by the invention, the running condition of the target system is determined according to the trained exception judgment model, and corresponding processing can be performed according to the actual running condition of the target system; and compared with the prior art, the false reporting and missing reporting probabilities of target system exception are reduced and the monitoring accuracy and efficiency are improved.

Description

technical field [0001] The present application relates to the field of information technology, and in particular to a method and device for monitoring system abnormalities. Background technique [0002] With the development of information technology, service providers provide users with more and more types of services, which leads to a larger and more involved system for providing services to users. [0003] Usually, when the system is running, due to various reasons such as network delays, equipment downtime, and third-party timeouts, there may be system abnormalities that cause the system to freeze, which will affect the operating efficiency of the system at least, and cause the business in the system to fail normally. Therefore, on the one hand, people are committed to ensuring the smooth operation of the system and reducing the phenomenon of system abnormalities. On the other hand, how to give early warning to system abnormalities, and when the system freezes, find out a...

AI Technical Summary

Problems solved by technology

[0008] The embodiment of the present application provides a method for monitoring system abnormalities, which is used to solve the problem that the accuracy of monitoring system abnormalities is low due to the need to manually set alert thresholds for each device in the prior art during the monitoring process of system abnormalities

[0009] The embodiment of the present application provides a system abnormality monitoring device, which is used to solve the problem that the accuracy of system abnormality monitoring is low due to the need to manually set alert thresholds for each device in the prior art during the monitoring process of system abnormality

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