Operation and maintenance management method based on fast data and big data technology architecture

Abstract

The invention provides an operation and maintenance management method based on a fast data and big data technology architecture, which comprises the following steps: positioning the own cluster size according to the data volume and the cluster use condition, establishing servers in a mutual hot standby mode, and keeping the data of the servers consistent with the data in data nodes in real time; when the data is changed, firstly, storing data change information in a log file through a main server, then storing specific data in data nodes through an application program; and if a server of a certain data node crashes, enabling the main node to detect the state of the data node and send abnormal information to a user; and meanwhile, finding the server which is only responsible for storing the data remotely through the main node to take the data, so that the data cannot be lost on the premise that a fault occurs.

Description

technical field [0001] The invention belongs to the technical field of big data and information security, and in particular relates to an operation and maintenance management method based on fast data and big data technical architecture. Background technique [0002] With the continuous development of computer technology, we have entered the era of big data. For more and more enterprises, the data stored in the computer has gradually become the most valuable resource. With the improvement of computer storage capacity and the development of complex algorithms, data availability and real-time performance are becoming more and more important, because business support systems generally require uninterrupted services throughout the year, even if a short-term downtime occurs, the cost is very high. Huge, but due to many uncontrollable factors, such as natural disasters, the hardware life of the server, etc., the software of the system will fail, and downtime is unavoidable. There...

AI Technical Summary

Problems solved by technology

With the improvement of computer storage capacity and the development of complex algorithms, data availability and real-time performance are becoming more and more important, because business support systems generally require uninterrupted services throughout the year, even if a short-term downtime occurs, the cost is very high. Huge, but due to many uncontrollable factors, such as natural disasters, server hardware life, etc., the software of the system will fail, and downtime is unavoidable