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Metric analysis method and system based on machine data

A technology of machine data and analysis methods, applied in the field of data analysis, can solve problems such as high concurrency, time-consuming and laborious, and large data volume, and achieve the effect of promoting IT operation management and service efficiency

Pending Publication Date: 2022-05-13
SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Machine data is generated all the time. Not only is the data volume large and concurrency is high, but it is generally scattered in various storage devices. For IT managers, if they want to manually find the correlation between machine data , it is time-consuming and difficult to achieve

Method used

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  • Metric analysis method and system based on machine data
  • Metric analysis method and system based on machine data
  • Metric analysis method and system based on machine data

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Embodiment Construction

[0019] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the method and system for measurement and analysis based on machine data of the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings.

[0020]

[0021] This embodiment provides a measurement and analysis method based on machine data, which is used to track and centrally display the operating status of the information system (that is, the IT system) in real time, and to quantify and evaluate the problems of the IT system, so that the problems can be discovered as early as possible before they are exposed problems to reduce the continuous impact on users; and when the problem is discovered, it can be repaired as soon as possible to reduce the impact on the application; after the problem is solved, it will prevent recurrence, continue to maintain the IT application optimization results,...

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Abstract

According to the machine data-based measurement analysis method and system provided by the invention, different types of machine data are collected, forwarded, indexed, calculated and visualized, so that the analysis requirements of large-data-volume, semi-structured and large-concurrency complex machine data generated by an important information system are met; and operation and maintenance personnel can check the data in a multi-dimensional and fine-grained manner. According to the technical scheme, the method comprises the steps that a Spunk collector collects various machine data of an information system in a unified mode; the Splunk transponder is used for intensively forwarding the collected machine data to the Splunk indexer; carrying out centralized storage and calculation on the machine data by the Splunk indexer; the Spunk searcher analyzes the machine data in the Spunk indexer based on a predetermined measurement analysis model to obtain a visual measurement result; and the user logs in the Splunk searcher to check the measurement result.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and relates to an analysis and measurement technology of an IT system, in particular to a measurement and analysis method and system based on machine data. Background technique [0002] Machine data is recorded data that records process events generated by IT systems. Each piece of machine data contains 4W (Who, When, Where, What) content. By viewing the machine data, you can know which specific user, at specific time, on which device or in which application system, and what specific operations were performed. [0003] In the process of supporting and guaranteeing business operations, IT systems will continue to generate a large amount of machine data. Machine data is generated all the time. Not only is the data volume large and concurrency is high, but it is generally scattered in various storage devices. For IT managers, if they want to manually find the correlation between machine data...

Claims

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Application Information

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IPC IPC(8): G06F16/27
CPCG06F16/27
Inventor 谢斐黄杰郭庆张敏
Owner SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS
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