Heartbeat detection method and system based on micro-service system, storage medium and electronic equipment

Abstract

The invention discloses a heartbeat detection method based on a micro-service system, a storage medium, electronic equipment and a system, and relates to the field of computer software, the method comprises the following steps: enabling each functional module in the micro-service to correspond to at least one URL to obtain a query file, and recording all functional modules needing to be detected to obtain a polling file; according to a heartbeat cycle, reading the function modules in the polling file one by one, searching the function modules in the query file and accessing the corresponding URLs; recording according to the response condition of the URL: if the normal response of the URL is obtained, recording the current access time information and non-disconnection of the URL; and if the obtained response of the URL is overtime, adding one to the number of times of reconnection, and trying to obtain the response of the URL again until the number of times of reconnection exceeds a preset number of times, and recording time information of current access of the URL and disconnection. According to the invention, the operation state of each service of the micro-service system can be fed back flexibly and timely, and front and back end request resource consumption is reduced.

Description

technical field [0001] The invention relates to the field of computer software, in particular to a heartbeat detection method based on a microservice system, a storage medium, electronic equipment and a system. Background technique [0002] With the current development of the software industry, more and more software systems have formed a microservice system architecture. Under the new microservice system architecture of software development, the background services form independent running individuals and provide service modules with certain functions. Through microservices, functions can be implemented more flexibly, consume fewer resources, and be more efficient. [0003] However, existing microservices are replicated and deployed in separate processes, and their traditional single-point service exceptions will lead to abnormalities in the functional interfaces of this part, which in turn will lead to unavailability of software functions. However, after a single service...

AI Technical Summary

Problems solved by technology

This leads to the fact that the heartbeat detection between the client and the server can no longer be detected in the traditional way (traditional heartbeat detection usually only determines whether the service is available by testing whether the link of a bus is normal)

[0004] In addition, the traditional heartbeat detection mechanism often uses a timed polling thread to request background services, so that regardless of whether the network request is normal or not, this repeated timed polling mechanism will not stop, resulting in a waste of fixed network requests

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