Server abnormity detection method, device and equipment

Abstract

The embodiment of the invention discloses a server abnormity detection method, device and equipment. The scheme comprises the following steps: acquiring capacity monitoring data of each server in a first server set in a preset time period; aiming at any server in the first server set, judging whether the capacity monitoring data corresponding to any server is in a normal range or not according tothe capacity monitoring data corresponding to other servers in the first server set, and obtaining a first judgment result; and if the first judgment result indicates that the capacity monitoring dataof any one server is outside the normal range, determining that any one server is an abnormal server.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a server anomaly detection method, device, and equipment. Background technique [0002] In the existing technology, the server may fail due to programming problems, abnormal traffic, hardware problems of the machine itself and other factors during operation, which directly affects the front-end user-oriented services, and may cause serious security incidents. Generally speaking, there will be abnormalities that can be traced for a period of time before a fault occurs. Therefore, operation and maintenance personnel will find abnormal machines by monitoring the capacity indicators of individual machines in real time. However, in the face of a huge server fleet, it is difficult for manual monitoring to capture all potential anomalies in a timely and comprehensive manner. Contents of the invention [0003] In view of this, the embodiments of the present application...

AI Technical Summary

Problems solved by technology

However, in the face of a huge server fleet, it is difficult for manual monitoring to capture all potential anomalies in a timely and comprehensive manner.

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