Client performance monitoring device and method based on information interaction

Abstract

The invention provides an information interaction-based client performance monitoring device and method. The device specifically comprises a client browser monitoring module, a log push module, a log processing module, a model analyzing module and a result push module. The client browser module captures and stores performance logs concerning information interaction on a client browser; the log push module outputs performance logs; the log processing module reads and parses the performance logs and then stores the performance logs; the model analysis module analyzes the parsed performance logs via a preset model to obtain suspicious transaction information in the performance logs, establishes an analysis result list according to the suspicious transaction information and improves the rules and / or threshold values of the preset model by using the machine learning technology according to the analysis result list; the result push module determines suspicious transaction information of the client and test people corresponding to the suspicious transaction information according to the analysis result list of the client and sends the suspicious transaction information to the test people for modification.

Description

technical field [0001] The invention relates to the field of computer performance monitoring, in particular to a client performance monitoring device and method based on information interaction. Background technique [0002] With the continuous development of application systems in banking and other fields in terms of business varieties and business volume, users use business systems more and more frequently, which puts forward higher requirements for user experience of business systems. [0003] At present, in the field of performance monitoring, the performance of application servers, database servers, and network transmission are mainly monitored. However, there is still a lack of mature automation tools in the field of client performance monitoring. Traditional client performance monitoring tools are used in information capture, The following problems still exist in the links of collection, analysis, verification, and display: the granularity of information capture is re...

AI Technical Summary

Problems solved by technology

[0003] At present, in the field of performance monitoring, the performance of application servers, database servers, and network transmission are mainly monitored. However, there is still a lack of mature automation tools in the field of client performance monitoring. Traditional client performance monitoring tools are used in information capture, The following problems still exist in the links of collection, analysis, verification, and display: the granularity of information capture is relatively coarse, which cannot fully reflect the real experience of users during use; the capture of performance information is often manual, and the degree of automation is not high, so it cannot The performance log is automatically recorded when the user operates; the log collection technology is relatively traditional and cannot well support the current distributed environment of large-scale applications; log analysis is often done through manual analysis, mainly relying on the past experience of testers. Both automation and hit rate are lacking; in terms of problem verification, manual comparison is also the main method, which increases the workload of testers to a certain extent; due to the lack of data accumulation in traditional performance monitoring, it is often impossible to comprehensively Graphically display the overall situation of client performance

The above problems are also the main reasons for the high cost and low efficiency of client performance monitoring

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