Real-time monitoring method and monitoring apparatus for online business of financial application system

Abstract

The invention provides a real-time monitoring method and monitoring apparatus for an online business of a financial application system. The apparatus comprises a request processing module that acquires trading request information of the online business of the financial application system from a request cluster queue, a response processing module that acquires trading response information of the online business of the financial application system from a response cluster queue and obtains trading information according to the trading request information and the trading response information, a statistics analysis module that scans a basic data region and an extended data region of a memory and writes an alarm index into a data analysis region of the memory, and an alarm release module that scans the data analysis region of the memory, matches an alarm parameter group and pushes the alarm index and alarm information to a monitoring module for performing display when the matching succeeds. Therefore, second-level real-time graphic state monitoring and automatic alarming are realized, security pre-warning time of the system is greatly shortened, and information security of important business systems is protected.

Description

technical field [0001] The present invention relates to the technical field of monitoring, in particular to the monitoring technology of financial application systems, and specifically to a real-time monitoring method and monitoring device for online services of financial application systems. Background technique [0002] Banks, securities, insurance and other financial institutions, as the main body of national financial services, provide daily essential financial services for the whole society. Their financial application systems range from the underlying structure to the entire system. The safe operation of the application system is not only related to customer service levels, but also to financial assets. Safety will also have a negative impact on enterprises and fluctuate social stability. [0003] In the existing technology, the monitoring of the online business of the financial application system generally adopts traditional technology, and basically adopts the follow...

AI Technical Summary

Problems solved by technology

[0007] In this mode, the monitoring system and the source system adopt an asynchronous cooperation method, and the business system needs to generate a large number of log files at regular intervals. The generation and cleaning of files requires a lot of system resources, and a large number of output files takes up too much disk space.

The monitoring system polls and scans the delayed output log files of the business system, and then performs extraction, cleaning, and loading into the warehouse. The two steps cause the delay to be superimposed and enlarged. The monitored information cannot truly reflect the current operating status of the system, and the monitoring effect is greatly reduced. In serious cases, only after-the-fact notification can be done, but not advance warning

[0008] That is to say, in the prior art, the system that monitors the online business of the financial application system basically provides alarm information after a long time after the problem occurs due to limitations in resources and technology, and only the text description information in a table, or a simple one Root curve, unable to warn of problems in time

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