A fault detection method and a device of a cloud platform

Abstract

The invention discloses a fault detection method of a cloud platform, which comprises the following steps: acquiring target components deployed on a target cloud platform; detecting whether a target component is in a running state by a status query command; if yes, the interface of the target component is called and the call return value is obtained;. when the call return value is inconsistent with the preset threshold value, trigging the alarm mechanism, so that the failure of the cloud platform can be repaired in time. At the same time, since the method monitors all components deployed on the cloud platform, the burden of the cloud platform and the workload of the developers can be reduced, and the influence of the monitoring process on the cloud platform services can be reduced, so thatthe method can provide safe and stable cloud services for users and improve the user experience. Accordingly, the invention discloses a fault detection device, a device and a computer-readable storage medium of a cloud platform, which also have the technical effects mentioned above.

Description

technical field [0001] The present invention relates to the technical field of cloud services, and more specifically, to a cloud platform fault detection method, device, equipment and computer-readable storage medium. Background technique [0002] In the era of cloud computing, enterprises and individual users usually manage data resources through the cloud platform in a unified manner. Therefore, the cloud platform has become an inseparable part of today's social life. [0003] In order to provide users with a good experience, the service process on the cloud platform can be monitored and detected, so as to detect the failure of the cloud platform in time. Among them, the prior art generally adopts the method of daemon process to monitor and detect the service process on the cloud platform, and since there are many service processes in the cloud platform, if each service process corresponds to a daemon process, the number of daemon processes This will increase the burden ...

AI Technical Summary

Problems solved by technology

Among them, the prior art generally adopts the method of daemon process to monitor and detect the service process on the cloud platform, and since there are many service processes in the cloud platform, if each service process corresponds to a daemon process, the number of daemon processes This will increase the burden on the cloud platform and also increase the workload of developers; at the same time, since the number of guarding processes is the same as the number of service processes on the cloud platform, it may affect the operation of the corresponding service process. To ensure the stability of external services, the user experience will be greatly reduced

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