A server product monitoring method and device

Abstract

The present invention relates to a server product monitoring method and device, including detecting and acquiring basic information of a product to be monitored in a target server; setting an identification mark corresponding to the obtained product to be monitored; The identifier extracts the pre-stored monitoring script corresponding to the identification identifier and stores it in a corresponding specified location; the target server executes the monitoring script according to the basic information of the product to be monitored to monitor the product to be monitored. The server product monitoring method proposed by the present invention can automatically detect software products and automatically set corresponding monitoring scripts, which not only greatly improves the setting efficiency of monitoring points, reduces setting costs, but also avoids setting errors of monitoring points.

Description

technical field [0001] The invention relates to the technical field of software monitoring, in particular to a server product monitoring method and device. Background technique [0002] In order to comprehensively, centrally, proactively and effectively manage and optimize the IT infrastructure of the enterprise, there is an IT data center (hereinafter referred to as the data center) that supports the business operation of the enterprise in the background of the large enterprise. Information management plays an important role in ensuring the smooth operation and service of enterprise business. [0003] It takes several years to build a mature data center. With the development of various hardware and software technologies, enterprises will also partially update the software or hardware of the data center during the construction of the data center according to business needs. However, software technology is updated more frequently than hardware, and each software in a newly l...

AI Technical Summary

Problems solved by technology

[0003] It takes several years to build a mature data center. With the development of various hardware and software technologies, enterprises will also partially update the software or hardware of the data center during the construction of the data center according to business needs. However, software technology is updated more frequently than hardware, and each software in a newly launched server generally selects a newer software version, while software products running on servers that have been put into production earlier do not need to be upgraded as long as they run normally, resulting in data center failures. In a complex software and hardware environment where multiple vendors’ hardware and multiple software versions coexist, how to monitor the operation of each hardware and software in the complex software environment and how to detect and alarm in time when a fault occurs has become the primary task of data center operation and maintenance. problem

[0004] At present, enterprises generally purchase monitoring software products and install the purchased monitoring software products and set monitoring points to monitor the operation of each software and hardware in real time. The software installation can generally be installed in batches, and the implementation cost is not high. However, Due to the different hardware configuration methods in the production environment, the systems and application software used are also different. Therefore, to complete the setting of monitoring points, it is necessary to check and record the versions of the system and application software used by each hardware product in the production environment. and configuration information, and then set the corresponding monitoring scripts developed in the target server one by one, resulting in high implementation cost of setting monitoring points and low efficiency of setting monitoring points. In addition, since most monitoring point settings rely on manual It is easy to have less settings, missing settings or wrong settings of monitoring points, which will lead to huge losses caused by business failures

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