IT automatic operation and maintenance system and method

Abstract

The invention discloses an IT automatic operation and maintenance system and method. The IT automatic operation and maintenance system comprises a data collection module used for obtaining key performance indexes and operation states of all monitored units in the operation and maintenance system through a network management protocol or a log file; a preprocessing and storage module, used for performing preprocessing work and classified storage on the data acquired by the data acquisition module; a prediction module, used for predicting according to the data processed by the preprocessing and storage module; an algorithm evaluation module, used for establishing an evaluation standard of the prediction algorithm of the prediction module; and an operation and maintenance monitoring and management module, responsible for interacting with operation and maintenance management personnel. The invention aims to provide an IT automatic operation and maintenance system and method. A unified operation and maintenance monitoring management and load prediction system is built, operation and monitoring state information of a CPU, a memory, a disk and a database table is managed, a storage and prediction model is designed, and storage resource prediction management and computing resource distribution management in the whole server operation and maintenance cluster are achieved.

Description

technical field [0001] The invention relates to a monitoring and analysis system, in particular to an IT automatic operation and maintenance system and method. Background technique [0002] At present, due to the increase of network requirements, the scale of the system is gradually increasing, and the amount of automation tasks is also increasing. The automation processing modules in the system are independently developed and run online, and the architecture design of each module is very different, resulting in low operating efficiency of the automation platform and difficulty in efficient maintenance. In addition, each module is configured with an independent log processing method, and the log is stored locally, which is not conducive to efficient query and analysis of the automatic task processing log in the system; the configuration information of each module is also stored locally, when modifying the configuration, The corresponding modules need to be restarted to take...

AI Technical Summary

Problems solved by technology

The automation processing modules in the system are independently developed and run online, and the architecture design of each module is very different, resulting in low operating efficiency of the automation platform and difficulty in efficient maintenance

In addition, each module is configured with an independent log processing method, and the log is stored locally, which is not conducive to efficient query and analysis of the automatic task processing log in the system; the configuration information of each module is also stored locally, when modifying the configuration, The corresponding modules need to be restarted to take effect, which may affect the continuity of automated operation and maintenance services

According to the status quo of the operation and maintenance business, the current operation and maintenance of servers, storage, and databases not only consumes a lot of manpower, but also has low operation and maintenance efficiency and high cost.

At this stage, the traditional, passive, isolated, semi-automatic operation and maintenance management mode often makes the operation and maintenance department exhausted

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