Method and device for monitoring and alarming

Abstract

The embodiment of the invention provides a monitoring and alarming method and device, and relates to the field of Internet technology. The method comprises the following steps: obtaining a consumption offset of messages in a subarea of a specified message theme consumed by a message consumer; judging whether the messages of the specified message theme are accumulated according to the consumption offset and the total number of the messages in the subarea; if so, determining whether to send alarm information to a target object according to an identifier of the message consumer, the identifier of the specified message theme or the combination of the identifier of the message consumer and the identifier of the specified message theme. By adoption of the monitoring and alarming method and device provided by the embodiment of the invention, automatic monitoring of consumption conditions can be achieved, and the message blockage alarm timeliness is improved.

Description

Technical field [0001] The present invention relates to the field of Internet technology, in particular to a monitoring alarm method and device. Background technique [0002] Generally, the message consumer will obtain certain type of information from the Kafka cluster for statistics. For example, in the field of webcasting, the message consumer obtains the behavior information of the audience user giving gifts from the Kafka cluster, and statistical analysis of these behavior information can be obtained. Each viewer user gift contribution ranking data. [0003] Although the message producer sends the real-time generated message to the Kafka cluster for storage, the message consumer obtains the message from the Kafka cluster in an offline manner for processing, but some special statistical data requires a certain delay range. Data update, if the message production volume of the message producer increases sharply or the message consumer's equipment fails within a certain period of ...

AI Technical Summary

Problems solved by technology

[0003] Although the message producer sends the real-time generated message to the Kafka cluster for storage, and the message consumer obtains the message from the Kafka cluster offline for processing, but some special statistics require a certain delay. For data update, if there is a sudden increase in the message production of the message producer or a failure of the equipment of the message consumer within a certain period of time, these statistical data will inevitably fail to be updated in time

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