Distributed automatic application operation abnormity detecting method and system

Abstract

The invention relates to a distributed automatic application operation abnormity detecting method and system. The distributed automatic application operation abnormity detecting method comprises the steps that routing inspection and matching are conducted on log files according to keywords in logs, the logs matched with the keywords are packaged into task processes to be saved in a database, each periodic task process in the database is loaded to distributed task scheduling modules, the task processes are periodically executed, execution results are red back, abnormity information is obtained according to the fed-back execution results, and detection is completed. The distributed automatic application operation abnormity detecting method can automatically detect whether application service operation is abnormal or not, the problem that full-amount log scanning is required during each time of detection and accordingly a large number of repeated logs is produced is avoided, detecting results are accurate while the detection process can be simplified through increment scanning and matching of application logs during each time of detection. In addition, load is balanced through the multiple distributed task scheduling modules, the disaster tolerant capability of the system is greatly improved, and safe operation of the system is ensured.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a distributed automatic detection method and system for abnormal operation of applications. Background technique [0002] With the development of society and the advancement of science, my country has made great progress in the field of mobile communications. The scale of daily operation and maintenance management and control of operators has gradually expanded, and the number of production system services for daily operation and maintenance monitoring has increased sharply. , how to detect the abnormal operation of the application is particularly important. The existing method usually uses manual login to the remote host to check whether there is an abnormal error log in the operation log. This method is very passive. Only when there is a problem with the service application, the operation and maintenance personnel will Going to check the log content will increase the workload ...

AI Technical Summary

Problems solved by technology

[0003] At present, daily operation and maintenance personnel use the log analysis tool of the ELK platform to retrieve and analyze the log content, but the existing methods have the following disadvantages: First, when performing retrieval and analysis, the full amount of logs is returned every time, resulting in a large number of The repetitive logs cannot solve the problem of single point of failure, which increases the workload of operation and maintenance personnel; second, once there is a problem with Logstash, ELK will not work normally. Therefore, a new technical method is urgently needed to solve the single point of failure. Point failure problem, simplify the system detection process, reduce the workload of operation and maintenance personnel

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