Middleware-based business data monitoring method and system

Abstract

The present invention provides a middleware-based business data monitoring method and a middleware-based business data monitoring system, wherein the method includes: sending business data from different application systems to the monitoring system through the middleware to Monitor the business data; perform data storage and data modeling on the business data according to preset storage rules; perform data classification on the business data that has been processed by the data storage and data modeling; According to the above data classification, a business association model is established to track the trajectory of each piece of the business data; according to the business association model, an early warning threshold is set to monitor the business data. Through the technical scheme of the present invention, intelligent monitoring of different business data can be realized, the versatility and the adaptability to changes of business data and business rules can be effectively improved, and the monitoring requirements of most industries can be quickly met.

Description

technical field [0001] The invention relates to the technical field of data flow monitoring, in particular to a middleware-based service data monitoring method and a middleware-based service data monitoring system. Background technique [0002] In the current computer IT field, middleware, as an important component of basic software, has gone hand in hand with operating systems and databases, showing a momentum of rapid development worldwide, and has formed a huge industry. Middleware should be one of the fastest growing markets in the entire domestic software industry. At present, the monitoring technology of traditional middleware includes monitoring index parameters such as number of threads, processing time, number of requests, number of bytes, Cluster (cluster), stack, thread pool, connection pool, Web (World WideWeb, World Wide Web) application, etc. Monitoring technology is relatively general and suitable for a wide range of industries, but most of them only monitor ...

AI Technical Summary

Problems solved by technology

At present, the monitoring technology of traditional middleware includes monitoring index parameters such as number of threads, processing time, number of requests, number of bytes, Cluster (cluster), stack, thread pool, connection pool, Web (World WideWeb, World Wide Web) application, etc. Monitoring technology is relatively general and suitable for a wide range of industries, but most of them only monitor performance, without the ability to monitor business data flow, and often the truly valuable monitoring is the monitoring of business data

There are also some middleware-based monitoring technologies in the current industry that are aimed at business data, such as BAM (Business Activity Monitoring: Business Activity Monitoring) technology in Microsoft BizTalk (Business Talk: Business Conversation), but most of the monitoring of business data flow lacks common nature and require too much manual intervention, these monitoring methods need to know the data model of the monitoring business, and monitor according to the custom rules, so these monitoring technologies cannot be widely used, and the changes in data and business rules are insufficient. Variability, cannot quickly meet the monitoring requirements of most industries

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