Middleware based service data monitoring method and system

Abstract

The invention provides a middleware based service data monitoring method and system. The method comprises steps as follows: service data from different application systems are sent to a monitoring system through a middleware to be monitored; the service data are stored and subjected to modeling according to preset storage rules; the service data subjected to storage and modeling processing are classified; a service correlation model is established according to data classification, and each service datum is subjected to trajectory tracking; a pre-warning threshold value is set according to the service correlation model, and accordingly, the service data are monitored. By means of the technical scheme, the different service data can be intelligently monitored, the universality as well as the adaptability to change of the service data and the service rules is effectively improved, and the monitoring demand of most industries can be rapidly 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. The current traditional middleware monitoring technology includes monitoring thread number, processing time, request number, byte count, Cluster (cluster), stack, thread pool, connection pool, Web (World Wide Web, World Wide Web) application and other index parameters, These monitoring technologies are relatively general and suitable for a wide range of industries, but most of them only monitor performance, ...

AI Technical Summary

Problems solved by technology

The current traditional middleware monitoring technology includes monitoring thread number, processing time, request number, byte count, Cluster (cluster), stack, thread pool, connection pool, Web (World Wide Web, World Wide Web) application and other index parameters, These monitoring technologies are 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

Images