Method and device for identifying and early warning abnormity of business system and electronic equipment

Abstract

The embodiment of the invention provides a method for identifying and early warning the abnormity of a service system; the method comprises the steps: building the service system which is provided with a data logic system and an early warning system, enabling the service system to obtain client behavior data, and transmitting the client behavior data to the outside of the data logic system, sending the client behavior data to the early warning system decoupled from the data logic system, and enabling the early warning system to recognize the abnormal state of the service system according to the client behavior data and sending early warning information to a system end user after recognizing the abnormal state. According to the method, the early warning system independent of the data logic system is provided, the data logic system provides services, and the early warning system performs early warning through an independent channel, so that the interference of the system providing the services on the early warning function is eliminated, and the reliability of service early warning can be improved.

Description

technical field [0001] The present application relates to the field of computers, and in particular to a method, device and electronic equipment for identifying and warning business system abnormalities. Background technique [0002] With the development of business, business abnormalities are often caused by various reasons. At present, the identification of abnormal status of business progress is mostly completed by the business system itself. However, there is room for improvement in the reliability of this method. [0003] It is necessary to provide a new method to improve the reliability of early warning identification. [0004] An analysis of the existing technology found that the current early warning identification of the business is completed by the business system itself, which is affected by the operation status of the business system itself. For example, if the business abnormality is caused by the abnormality of the business system itself, then In some ways, it...

AI Technical Summary

Problems solved by technology

[0004] analyzed the existing technology and found that the current early warning identification of the business is completed by the business system itself, which is affected by the operating status of the business system itself. For example, if The business abnormality is caused by the abnormality of the business system itself. Then, the existing method is difficult to give early warning, which leads to a decrease in reliability.

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