Panoramic monitoring system in mobile application support system

Abstract

The invention relates to a panoramic monitoring system in a mobile application support system. The panoramic monitoring system in the mobile application support system comprises a data acquisition system layer, a data cleaning system layer and a data analysis system layer, wherein the data cleaning system layer is respectively connected with the data acquisition system layer and the data analysissystem layer, and the data acquisition system layer respectively comprises an equipment software platform monitoring subsystem, an equipment operation data storage system monitoring subprogram and anequipment hardware system operation monitoring subprogram. According to the invention, unified monitoring and analysis of the mobile application background support system are realized; therefore, comprehensive whole-process detection of a software system and a hardware system during operation of the mobile communication electronic equipment is greatly improved, fault points can be efficiently detected and positioned, and meanwhile, the defects of fault missing detection, missed alarm, false alarm and delayed alarm which easily occur during operation of a traditional monitoring system are effectively overcome.

Description

technical field [0001] The invention relates to a panoramic monitoring system in a mobile application support system, and belongs to the technical field of electronic communication equipment safety. Background technique [0002] With the rapid development of the mobile Internet, the background support system of various popular mobile applications has become more powerful and complex with the business development of front-end applications, and the monitoring system plays an increasingly important role in the background support. How to quickly monitor the fluctuations or faults from user experience, support system and even the underlying hardware, and quickly locate the problem is the main problem faced by the mobile application background monitoring system. [0003] At the same time, once users encounter problems such as app flashbacks, white screens, freezes, incomplete page loading, and slow switching between pages when using mobile apps, complaints, complaints, or even los...

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Problems solved by technology

[0003] At the same time, once users encounter problems such as app flashbacks, white screens, freezes, incomplete page loading, and slow switching between pages when using mobile apps, complaints, complaints, or even loss will occur. word of mouth will be greatly affected

The background monitoring system of most mobile applications mainly focuses on business and system aspects. User experience problems are mainly discovered through pre-testing or post-event customer complaints. There is a lack of solutions that can detect user experience problems in batches in a timely manner during user use.

[0004] In addition, after a period of iterative construction, the background support system of many mobile applications has been continuously improved at the functional level, but the architecture is becoming more and more complex, which poses new challenges to the fault location efficiency of the monitoring system.

For example, each system module is designed and launched in stages through different projects, and often has independent monitoring tools (such as independent monitoring tools for databases and independent monitoring tools for cache modules), but the monitoring field of view is narrow and unrelated to each other, lacking With a consistent monitoring perspective, it often happens that each independent monitoring system has an early warning, but the system operation and maintenance personnel cannot judge whether it is caused by the same fault, and the troubleshooting efficiency is low

[0005] In view of these problems, in the traditional monitoring and early warning algorithm, the threshold value of the early warning is mainly directly taken from the monitoring data itself, but for the slow changes of data such as negative decline and dark rise, there is a problem that it is impossible to control the trend of data changes in time, and there are false positives and missed negatives possibility of

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