Timing task monitoring method, device and system, apparatus and storage medium

Abstract

The invention provides a timing task monitoring method, device and system, an apparatus and a storage medium, wherein the method comprises the steps of obtaining the configuration information of a timing task from a distributed task scheduling system; and triggering the corresponding detection task according to the configuration information of the timing task so as to execute the step of monitoring whether the timing task is triggered on time or not according to the difference between the triggering time of the detection task and the triggering time of a distributed task scheduling system fortriggering the timing task. According to the method, monitoring can be carried out at the source of the timing task triggering, the propagation path of the problem is shortened, the problem positioning speed can be increased, and the problem processing efficiency can be improved. Moreover, by carrying out centralized monitoring on the distributed task scheduling system, each service team does notneed to check the timing tasks to find abnormity, so that the labor cost can be reduced, and the subjective errors caused by the manpower are avoided.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to a method, device, computer equipment and storage medium for monitoring a scheduled task. Background technique [0002] In the financial business system, the triggering process of scheduled tasks depends on many links such as system time setting, persistent operation after triggering, and network transmission. The above-mentioned multiple links may lead to the risk that scheduled tasks are not triggered on time. When the scheduled task is not triggered on time, it may cause capital liquidity risk and cause losses. [0003] In related technologies, whether a scheduled task is triggered on time is monitored through a downstream service fault discovery method. Specifically, if the scheduled task is not triggered on time, it will affect the downstream business. For example, when some of the clearing of the specified batch is not completed on time, the subsequent se...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned monitoring method has the problems of long intermediate links and poor timeliness, and depends on the monitoring level of the business side, it is easy to cause subjective errors, and there are problems of repeated construction

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