Alarm monitoring method and platform, server and storage medium

Abstract

The embodiment of the invention relates to an information processing technology, and discloses an alarm monitoring method and platform, a server and a storage medium. According to the scheme of the invention, the method includes the following steps: monitoring abnormal data amounts corresponding to different types of abnormalities respectively; according to the to-be-monitored alarm level, determining a target abnormality type and alarm conditions; and when monitoring that the abnormal data amount of the target abnormality type meets the alarm conditions, generating alarm information of the alarm level. The target abnormality type is flexibly selected according to the to-be-monitored alarm level, so that the system can filter out the abnormality types which do not cause alarms of the levelaccording to specific conditions, and only analyzes the target abnormality type; the calculation amount of the system can be reduced, and the efficiency of discovering system abnormalities can be improved; and meanwhile, the alarm conditions are flexibly changed according to the to-be-monitored alarm level, so that an alarm threshold can be dynamically adjusted, alarm results can be flexibly changed according to actual conditions, and more reference values can be achieved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of information processing, and in particular to an alarm monitoring method. Background technique [0002] With the development of the Internet, in order to improve service quality, CDN (Content Delivery Network, content distribution network) is widely used in the acceleration link of the website. The core function of CDN is divided into two parts: intelligent scheduling and edge caching. The intelligent scheduling node guides the requests of netizens to the optimal edge caching node; Provide content access. [0003] When the web server of the website is abnormal, or multiple edge cache nodes are abnormal at the same time, if they cannot be detected and dealt with in time, it will cause a large area of ​​network failure. In the existing technology, the alarm monitoring mechanism is mainly used to alarm large-scale network faults: the alarm volume of each server is monitored in real tim...

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Problems solved by technology

[0004] The inventors found that there are at least the following problems in the prior art: the preset threshold of the amount of alarm data is relatively fixed, and the alarm is triggered when the threshold is met, resulting in the inability to flexibly change the alarm information and not having much reference value

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