An operation and maintenance automation system and method

Abstract

The invention discloses an operation and maintenance automation system and method. The system comprises a data acquisition module, a pre-processing and storing module, a prediction module, an algorithm evaluation module and an operation and maintenance monitoring management module, wherein the data acquisition module is used for acquiring key performance indexes and running states of monitored units in an operation and maintenance system through a network management protocol or a log file; the pre-processing and storing module is used for performing pre-processing work and sorted storing on data acquired by the data acquisition module; the prediction module is used for performing predictions, including a CPU (Central Processing Unit) load prediction and a disk load prediction according to the data processed by the pre-processing and storing module; the algorithm evaluation module is used for establishing an evaluation criterion of a prediction algorithm and the prediction module, comparing an actual value with a predicted value of the prediction algorithm, and establishing a self-learning process; and the operation and maintenance monitoring management module is used for interacting with operation and maintenance management personnel. A load prediction mechanism and an algorithm prediction model are established in order to finish predictions specific to resource use situations of CPUs, memories, disks and the like. Alarm information is analyzed by further referring to a load prediction result in order to give a relevant auxiliary decision. Resource expansion and fault handling are realized in a way of using scripts, an API (Application Programming Interface) interface and the like.

Description

technical field [0001] The invention relates to a monitoring and analysis system, in particular to an information system operation and maintenance automation system and method. Background technique [0002] Existing technology currently has alarm monitoring for various information systems and network conditions. The group information system mainly monitors and alarms through the integrated information operation and maintenance monitoring platform (IMS), the server host monitors and alarms through the host monitoring system, and the data center computer room environment monitors and alarms through the environmental control system. Monitoring and alarming, the network monitors and alarms through the alarm system, and the SAP business system monitors and alarms through OCC. However, the overall monitoring systems are still relatively scattered and have not been integrated. At the same time, there is a lack of automated fault analysis and positioning, fault analysis and formation...

AI Technical Summary

Problems solved by technology

[0005] On the one hand, various operation and maintenance monitoring platforms (such as information operation and maintenance comprehensive monitoring platform, host monitoring system, etc.) work independently of each other, operation and maintenance information is scattered, management is not centralized, and various resources are not integrated. Operation and maintenance managers often need to Supervising multiple platforms is not only a heavy workload, but also inefficient; on the other hand, different monitoring and query mechanisms are used for each node of the server, the usage of each partition of the disk, the usage rate of the database and the table, and the visualization effect is poor. The display forms of the status information of the monitoring devices are different, and the query results cannot be compared, and the status information of the entire cluster device cannot be collected globally, so that the global control of the cluster status information cannot be realized

[0006] 2) Lack of risk prediction mechanism

If the server fails, or the disk and database space are full, and the operation and maintenance personnel cannot arrive at the scene immediately, it will cause heavy losses to the group

[0008] 3) Lack of auxiliary decision-making mechanism

At this stage, the operation and maintenance monitoring system generally lacks an auxiliary decision-making mechanism. When an alarm or failure occurs, it cannot effectively help the operation and maintenance personnel to process transactions and provide guidance and reference

At the same time, due to the low level of operation and maintenance automation, many simple faults need to be handled manually by operation and maintenance personnel, which increases the workload

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