Storage device performance monitoring method and system, terminal and storage medium

Abstract

The invention provides a storage device performance monitoring method and system, a terminal and a storage medium. The method comprises the steps of settiing key points in a storage device function module in advance; setting a performance baseline of the key point; acquiring actual performance data of the key points by using a data acquisition program preset in the key points; and comparing the actual performance data of the key points with a performance baseline, and outputting a comparison result. The problems of slow performance problem discovery, long positioning time and the like in storage system development can be solved, the new product development speed is increased, and the development cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of storage devices, in particular to a storage device performance monitoring method, system, terminal and storage medium. Background technique [0002] Performance indicators are an important indicator of storage devices, so performance optimization is an eternal theme in the development and design of storage devices, and the performance optimization of storage devices has the following characteristics: Storage devices are a complex system, usually composed of the following three parts, It has a front-end connected to the host side, a back-end for inter-node interconnection and disk / SSD management; storage devices need to provide various enterprise-level data services, such as snapshots, replication, compression, etc. [0003] The above characteristics determine that storage is a highly complex system. In actual implementation, in order to reduce the complexity of the system, technical means such as ...

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Problems solved by technology

[0004] Moreover, in the development process of the entire storage device, repeated changes in performance often occur, that is, the performance of the current version has reached the standard after optimization, but the performance of the next version is not up to the standard, which is the reason for the high complexity of performance optimization. One embodiment, the reason is generally introduced by the developer's modification of the original module during the development process.

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