Virtual machine data management method and device, equipment and medium

Abstract

The invention discloses a virtual machine data management method and device, equipment and a medium, and the method comprises the steps: obtaining a virtual machine backup request, and determining a target virtual machine corresponding to the virtual machine backup request from a cloud platform; obtaining target metadata corresponding to the target virtual machine from the cloud platform; determining a first storage position of disk data corresponding to the target virtual machine from the distributed storage system, and determining a second storage position for performing backup operation on the target virtual machine in the distributed storage system; judging whether the state information of the current target virtual machine meets a preset quick backup condition or not; and if yes, taking the target metadata and a mapping relationship between the first storage position and the second storage position as first target backup data of the target virtual machine, and storing the first target backup data to the second storage position. Through the distributed storage system, virtual machine-level data backup and recovery can be realized, and virtual machine data can be effectively managed.

Description

technical field [0001] The present application relates to the technical field of virtual machines, and in particular to a virtual machine data management method, device, device and medium. Background technique [0002] At present, with the rapid development of virtualization technology, virtual machines are more and more widely used in cloud computing, and the amount of data generated by enterprises is also increasing, so the protection of virtual machine data becomes very important. With the deepening of digital transformation, new requirements are put forward for the storage of massive data on the cloud platform. [0003] Traditional storage methods have the advantages of mature technology, good performance, and high availability. However, when faced with massive data, their shortcomings are becoming more and more obvious, such as poor scalability and high cost. In order to overcome the above shortcomings and meet the storage requirements for massive data on the cloud pla...

AI Technical Summary

Problems solved by technology

[0004] At present, the virtual machine-level backup and recovery schemes in the cloud platform are all traditional backup and recovery schemes, which use distributed storage as traditional IP-SAN (Storage Area Network, storage area network), and have not fully utilized Advantages of Distributed Storage

However, the multi-copy technology of distributed storage only solves storage-level data backup and storage high availability, and does not realize virtual machine-level backup.

Images