Data acquisition method, system and device for physical machine and storage medium

Abstract

The invention provides a data acquisition method, system and device for a physical machine and a storage medium. The data acquisition method comprises the following steps: acquiring a physical machine list needing data acquisition through an acquisition process; determining a performance data index set corresponding to each physical machine in the physical machine list through the acquisition process; constructing the performance data index set into a performance index list of the physical machine list through the acquisition process; acquiring performance data of the physical machine based on the performance index list through the acquisition process; detecting the state of the acquisition process through a daemon process, and restarting the acquisition process when the acquisition process is detected to be abnormally terminated. According to the data acquisition method provided by the invention, the state of the acquisition process is ensured through the daemon process, so that continuous acquisition of physical machine performance data is realized, and a reliable basis is provided for capacity management and fault analysis.

Description

technical field [0001] The present invention relates to the technical field of computer applications, and more specifically, to a data acquisition method, system, device and storage medium for physical machines. Background technique [0002] ESXi is the virtualization management program of VMware vSphere virtualization products. Its role is to provide a virtualization layer that can abstract the processor, memory, storage and network connection resources of the physical host, and then allocate them to Multiple virtual machines. The physical host on which the ESXi hypervisor is installed is referred to as an ESXi physical machine for short, and the ESXi physical machine is managed through the centralized management platform vCenter Server. [0003] In a VMware virtualization environment, performance data is of great value for resource pool capacity management, resource pool resource usage monitoring, and resource pool fault analysis. [0004] At present, the performance dat...

AI Technical Summary

Problems solved by technology

[0009] Therefore, when using vCenter Server to view ESXi host performance data, real-time data can only be viewed within one hour, and data over one day can only be viewed for the past week, but the data collection interval for the past week is 30 minutes. The granularity is too coarse, and the peak data cannot be seen in most cases (the peak duration is generally short, and the peak data cannot be collected when the collection interval is too large), and the data collection interval of the past month is larger, and the physical data cannot be accurately represented. machine performance

[0010] It can be seen that using vCenter Server performance charts to view performance data, because the interval between collected data samples is too large, it is impossible to accurately grasp the performance of ESXi hosts in a historical period, which is not conducive to effective capacity management and fault analysis

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