Application system performance bottleneck determination method and device, equipment and medium

Abstract

The invention discloses an application system performance bottleneck determination method, and relates to the technical field of computer networks, and the method comprises the steps: connecting a server, network equipment and storage equipment based on a preset network connection model, so as to generate a physical topological graph; mapping the physical topological graph into a service topological graph based on a service mapping model; and obtaining target performance data indexes of the server, the network equipment and the storage equipment according to the physical topological graph and the service topological graph, analyzing log information corresponding to the target performance data indexes, and determining the performance bottleneck of the application system according to the log information. According to the invention, the performance bottleneck of the application system is determined through the monitored log information of all performance fault suspicious points, and analysis is carried out according to the performance bottleneck of the server, the network equipment and the storage equipment, so that the performance analysis time is greatly shortened, the fault positioning and solving efficiency is improved, and the user experience is improved. And the maintainability and the stability of the application system are further improved.

Description

Technical field [0001] The present invention relates to the field of computer network technology, particularly to an application system performance bottleneck determination method, apparatus, apparatus, medium. Background [0002] In modern storage systems, stability and performance are its key core requirements, and most of the functional features in the storage system revolve around the more stable and reliable storage system and higher performance. Therefore, the performance monitoring analysis of the storage system, the rapid location and repair of performance failures is particularly important, most of the current storage manufacturers and products have provided a performance monitoring and analysis platform, which can provide storage components, business objects and other long-term performance indicators display and analysis in all aspects. However, from the perspective of the application, the performance of the performance is not entirely determined by the storage. Modern ...

AI Technical Summary

Problems solved by technology

Application performance is composed of server performance, network performance, and storage performance. It has a barrel effect. If there is a problem in any part, the maximum performance cannot be exerted, resulting in waste of performance and resources, as well as low efficiency and application unavailability.

[0003] To sum up, how to accurately analyze and locate application system fault performance bottlenecks and avoid inefficient positioning and waste of resources is a problem to be solved in this field

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