Self-learning frequency conversion monitoring method and system, electronic equipment and storage medium

Abstract

The invention relates to a self-learning frequency conversion monitoring method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a monitoring frequency, collecting a plurality of operation indexes according to the monitoring frequency, and obtaining monitoring data; analyzing the monitoring data to obtain a prediction result, wherein the prediction result is used for indicating whether an abnormal event is about to occur; judging whether an abnormal event is received within the preset time range or not; and if the prediction result indicates that the abnormal event is not about to occur and the abnormal event is not received within the preset time range, reducing the monitoring frequency. According to the method, the monitoring data and the events generated at the corresponding time are collected for joint learning, and finally, the monitoring frequency is gradually reduced when a computer system runs stably and is not abnormal, so that the waste of resources is avoided, and finally, the purposes of saving disk space, computing power and electric energy are achieved.

Description

technical field [0001] The invention relates to the technical field of computer monitoring, in particular to a self-learning frequency conversion monitoring method, system, electronic equipment and storage medium. Background technique [0002] In the current computer field, especially in the era of cloud computing microservices, in order to ensure the normal operation of the program, real-time monitoring and data collection of the program and the running data of the program are carried out through the monitoring system, so that the computing host can be discovered in time, or even in advance. Fault. [0003] In order to realize the troubleshooting of computing hosts, the monitoring system needs to collect dozens of monitoring indicators, ranging from hundreds to thousands of items, such as CPU usage, memory usage, storage usage, IO usage, network speed, The CPU and memory occupied by the program running, the respective monitoring indicators exposed by the program (the numbe...

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Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the embodiment of the present invention provides a self-learning frequency conversion monitoring method, system, electronic equipment and storage medium to at least solve the problem of resource waste and high monitoring cost caused by the fixed monitoring frequency in the prior art. question

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