Service anomaly detection method and device

Abstract

The application of the invention provides a business exception detection method and device, wherein the method comprises starting exception detection on a target business process, wherein the target business process comprises a plurality of business sub-processes, the plurality of business sub-processes are respectively pre-configured with corresponding exception detection procedures, a to-be-handled business parameter is bond on the exception detection procedure, the processed business parameter of each business sub-process is submitted to the corresponding exception detection procedure to simulate the business, a business simulation result is verified, and when the verification of the business simulation result for any business sub-process fails, a prompt indicating business exception of the business sub-process is outputted. The method provided by the application of the invention intelligently detects the exception of the target business process, is conducive to lowering the manpower cost, and improves the timeliness of detection of the business exception.

Description

technical field [0001] The present application relates to the communication field, and in particular to a method and device for detecting service anomalies. Background technique [0002] In related technologies, in order to cope with the increasing complexity of services, an idea of ​​modularizing services is proposed. The so-called business modularization refers to subdividing the business logic and dividing the same business process into several independent sub-processes, so that the business system after subdividing the business logic will be composed of several different business subsystems. By modularizing the business, the flexibility of the business system can be improved and the maintenance cost of the business system can be reduced. [0003] However, in practical applications, as the business complexity continues to rise, the business system after modular processing may involve more and more business subsystems, resulting in longer and longer business processing li...

AI Technical Summary

Problems solved by technology

[0003] However, in practical applications, as the business complexity continues to rise, the business system after modular processing may involve more and more business subsystems, resulting in longer and longer business processing links of the entire business system. If the business process in the business system is abnormal, it will be very difficult to locate, troubleshoot and assess the scope of the abnormal problem.

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