Cloud platform monitoring service system and method based on big data analysis

Abstract

The invention discloses a cloud platform monitoring service system and method based on big data analysis, wherein the system comprises a data acquisition layer, a big data processing layer and a web application layer; the data acquisition layer comprises an acquisition tool and a special acquisition program; the acquisition tool is used for performing data acquisition of a host, a memory and network resources; the special acquisition program is used for acquiring data of the web application layer; the big data processing layer is used for analyzing various data acquired by the data acquisition layer, generating operation and maintenance indexes, and writing the generated operation and maintenance indexes in a database; and the web application layer reads data from the database, and displays or manages the data at the front end. By means of the cloud platform monitoring service system and method based on big data analysis provided by the invention, due to the intelligent big data analysis result, health indexes and intelligent suggestions for a food security electronic traceable cloud service platform can be provided for managers; and thus, decision aids can be provided for the managers.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a cloud platform monitoring service system and method based on big data analysis. Background technique [0002] Nowadays, cloud computing technology has been used in various industries. Through cloud computing technology, a stable operating environment, smooth network services and reliable security guarantees are built for the food safety electronic traceability cloud platform. Since the resources of the food safety electronic traceability cloud platform are the product of the development of distributed computing, grid computing and virtualization technology, it is a technology that virtualizes physical resources. Therefore, the food safety electronic traceability cloud service platform needs to monitor performance to ensure the automation of the traceability system cloud operation management platform. The monitoring of the food safety electronic traceability cloud...

AI Technical Summary

Problems solved by technology

[0005] One is the scientific nature of the threshold, that is, the scientific nature of the experience threshold is difficult to guarantee, and the degree of configuration automation is low. The experience threshold does not adapt to environmental changes

And it presents the problem of single function, no analysis and no early warning

[0006] The second is how to reduce false alarms, that is, there is a lack of analysis of the generated alarms and the dependencies between alarms, so that it is impossible to identify real, root-cause alarms. The data scale is small, usually hundreds or thousands of hosts, Unsuitable for cloud scale, short monitoring cycle: data of the last week or month is stored, and historical analysis cannot be performed

[0007] The third is that it cannot handle big data, that is, it cannot collect and process large-scale data such as cloud platforms to ensure real-time presentation of alarms, decentralized processing of data, and independent programs with each function to process different data sources, develop and deploy , Operation and maintenance are difficult, and the collection is deployed in layers, and the collection is layered and networked, which is not easy to manage and operate, and it is prone to untimely data collection or missed collection

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