Service health detection method and device, computer equipment and storage medium

Abstract

The invention discloses a service health detection method and device, computer equipment and a storage medium, and the method comprises the steps: defining an annotation class for each service, and printing a log for the service employing the annotation class; counting the logs at preset time intervals, and calculating the total number of service calling failures in the time intervals; when the total number of times of service calling failure in the time interval does not exceed a preset first number-of-times threshold value, judging that the service is not abnormal; and when the total numberof service calling failures in the time interval exceeds a preset first number threshold, judging that the service is abnormal. According to the invention, the influence on the concurrent capability of the service can be eliminated while the service is detected, the business invasiveness is reduced, and the detection complexity is reduced.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to a service health detection method, device, computer equipment and storage medium. Background technique [0002] At present, with the business development of various enterprises becoming more and more abundant, there will be more and more projects, coupled with the increase in business volume, it is difficult for stand-alone services to meet the demand, and the current services are deployed in clusters. This has resulted in an exponential increase in the number of services, which has also brought about the problem that the health status of the service (whether the service is normal and whether the request can respond) is becoming more and more difficult to monitor. [0003] In the prior art, the heartbeat detection mechanism is mainly used to detect the health status of the service, that is, by sending a request at regular intervals, and then judging whether the service ...

AI Technical Summary

Problems solved by technology

However, there are still some shortcomings in the heartbeat detection mechanism, mainly including: the request sent by the service during the invocation will increase the request volume, which will affect the concurrency of the service; in order to detect the health status of the service, each service needs to be called, which is highly intrusive. The feeling is not good; every time a new method is added to the service, a new heartbeat detection must be added, resulting in high detection complexity

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