Control method for active forewarnings and automatic business failure positioning

Abstract

The invention discloses a control method for active forewarnings and automatic business failure positioning. The method comprises the following steps: S1, preliminarily creating and configuring different types of knowledge bases according to different types of business systems; S2, selecting a monitoring mode according to business distribution and deployment situations; S3, establishing a monitoring platform according to an actual environment, and configuring various monitoring types; S4, creating regular business system safety scanning, and carrying out automatic matching between scanning results and forewarnings; and S5, when a failure occurs, carrying out comparison, screening and merging in the knowledge bases through a trigger forewarning notice, so that effective automatic failure positioning can be achieved. The control method for the active forewarnings and the automatic business failure positioning provided by the invention has the advantages that a complete set of model for the operation and maintenance forewarnings and the quick and automatic failure positioning can be established, so that the comprehensive operation capabilities of the business systems can be improved,and business risks can be effectively reduced.

Description

technical field [0001] The invention relates to a service fault processing method, in particular to a control method for active early warning and automatic positioning of service faults. Background technique [0002] During the use and maintenance of business systems (such as multi-type application systems such as online shopping malls and outbound call platforms), the following problems or failures are often encountered: [0003] 1. The function of the business module is abnormal, and the user complains back to the application maintenance personnel to know that the system has a problem or malfunction; [0004] 2. When the theft of sensitive user information triggers large-scale complaints, it responds to track down the security incidents that have occurred. The overall security awareness of application users, operation and maintenance personnel, and developers is weak, such as malicious leaks of user privacy, weak password settings, code XSS cross-site vulnerabilities, etc...

AI Technical Summary

Problems solved by technology

The overall security awareness of application users, operation and maintenance personnel, and developers is weak, such as malicious leaks of user privacy, weak password settings, code XSS cross-site vulnerabilities, etc., causing various security incidents;

[0005] 3. The repetitive work of daily operation and maintenance has not been considered in depth to optimize and improve the efficiency of operation and maintenance;

[0006] 4. There is a lack of review of production environment operations, and misoperations lead to major production accidents;

[0007] 5. The operation and maintenance personnel lack the "awe" of the production environment and operate casually, resulting in production accidents from time to time;

[0008] 6. Lack of necessary problem and failure summary, no effective automatic early warning mechanism;

[0013] 1. Lack of in-depth analysis and summary of faults, as well as "bypassing by analogy" inspections, such as troubleshooting other hidden dangers in the production environment;

[0014] 2. Pure management requirements, lack of guidance and suggestions for specific implementation operations, such as which business functions require key monitoring, whether to use active or passive monitoring, whether to use internal network or external network monitoring methods, etc.;

[0015] 3. Lack of the function of automatically locating problems or faults

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