Cloud platform system supporting full life cycle of multi-stack database and management method

Abstract

The invention relates to a cloud platform system supporting the full life cycle of a multi-stack database and a management method thereof.The system comprises a data collection end, a server end, a cache module and a storage module, the data collection end is connected with different database clusters, the data collection end is connected with the server end, and the cache module is connected with the server end; the server is respectively connected with the cache module and the storage module, and the data acquisition end is used for acquiring corresponding data from different database clusters and transmitting all the acquired data to the server; the server is used for controlling the working state of the data acquisition end and transmitting the received acquisition data to the storage module; the cache module is used for storing cloud platform user information. Compared with the prior art, unified management, unified monitoring, automatic inspection and automatic switching of the database can be achieved, the database management efficiency is improved, and it is guaranteed that data is safe and controllable.

Description

technical field [0001] The invention relates to the technical field of database management, in particular to a cloud platform system and management method supporting the full life cycle of multi-stack databases. Background technique [0002] Database and database management are important components of the database system. Database management can realize the organization, storage, and management of the database. With the rapid development of computer information technology, many companies currently use computer technology to establish database systems. Through the database management system A good application can enable enterprises to process data information efficiently. However, with the increase in the types and quantities of databases, the work of DBAs (database administrators) is becoming increasingly heavy, and companies need to recruit more DBAs to maintain the databases manually. In reality, due to the high requirements for database maintenance and the need for refine...

AI Technical Summary

Problems solved by technology

However, with the increase in the types and quantities of databases, the work of DBAs (database administrators) is becoming increasingly heavy, and companies need to recruit more DBAs to maintain the databases manually. In reality, due to the high requirements for database maintenance and the need for refined management of databases, As a result, companies are often unable to find qualified DBA personnel

[0003] In addition, with the rapid development of digitalization and the Internet, massive data has grown explosively. Enterprises are faced with problems such as large types of databases, large quantities, and large resource occupations. The database operation and maintenance level lacks overall discovery, prevention, rapid positioning, and solutions. mechanism

At present, most of the database management tools on the market cannot provide standard self-service for the operation and maintenance team. At the same time, the implementation of these management tools also requires a lot of adaptation. The use efficiency is low, and they cannot provide unified management functions for the database, resulting in operation and maintenance management costs. High, low efficiency, difficult to ensure data security and controllability

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