Centralized monitoring system and method based on data center

Abstract

The invention provides a centralized monitoring system and a centralized monitoring method based on a data center. According to the system and the method disclosed by the invention, the data center is taken as an interface for data to flow in all steps, and thus seamless joint of all processing steps on data processing is realized; data acquisition time is preset according to generation time of system service data in bottom layer data acquisition; a data acquisition program is used for rapidly acquiring service operation data, including system state data, database and storage copy state, desk safety monitoring data, service processing data and the like; the data is stored in the data center in the form of a preset data structure; during data processing, the data can be screened, summated and compared according to a preset processing frequency by triggering a timed task according to a monitoring index frequency so as to generate fault alarming information; exhibition data such as fault alarming information, curve graph data and signal quantity data generated during an application exhibition use data processing process are exhibited to users in the forms of diagrams, sound, light and the like.

Description

technical field [0001] The invention relates to the technical field of information system monitoring, in particular to a centralized monitoring system and method based on a data center. Background technique [0002] Information system monitoring technology has always been an important and widely used technology in the field of information system operation and maintenance. At present, various information system monitoring technologies are mainly dedicated to monitoring the operation details of the monitored information system. Among them, the monitoring objects realized by the integrated information operation and maintenance monitoring system (IMS) include: system running status monitoring, desktop application monitoring, system information security monitoring, data backup monitoring, equipment ledger monitoring and other major aspects. After years of development, the system has gradually formed a large-scale monitoring technology support platform that is horizontally integr...

AI Technical Summary

Problems solved by technology

[0004] 1. In order to meet the comprehensive monitoring requirements, the system monitoring platform has a large scale and various modules with various functions, which makes it inconvenient for users to operate

This leads to the problems of inefficiency and failure to check for faults in the process of front-line monitoring personnel using the information system monitoring platform to obtain fault information

[0005] 2. The monitoring content is independent and scattered, and various monitoring indicators are formed according to different monitoring needs. The different measurement standards also bring about the problem that it is impossible to have a unified understanding of the monitoring content

For large-scale system monitoring platforms, under the requirement of data display accuracy, more judgments are often spent in the process of data preprocessing to ensure the accuracy of the final displayed fault information. Such processing will affect the performance of the system. real-time requirements

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