Distributed storage is a storage system design method where data is stored in multiple nodes rather than centralized on a single node. Distributed storage has the advantages of high scalability, reliability and performance. Distributed storage data is distributed storage, each node only stores part of the data, to achieve distributed data management. Automatic load balancing can also be achieved; Have fault tolerance; Scalability; High-performance read and write operations through parallel processing and distributed computing; Make storage more flexible; Achieve global distribution, support multi-geographic access, provide data availability and access speed. The benefits of distributed storage are as follows!

High Availability:

Because data is distributed on multiple nodes, the system can still provide available data even if a node fails, ensuring high availability.

Scalability:

A distributed storage system can expand storage capacity and performance by adding nodes to meet service growth and large-scale data requirements.

Fault tolerance:

Distributed storage systems often have redundancy and backup mechanisms that can maintain data integrity even if a node fails.

Improve performance:

Parallel processing and distributed computing can significantly improve read and write performance, especially for large-scale data operations.

Location optimization:

Distributed storage systems can distribute data globally based on user locations and requirements, improving data accessibility.

Flexible deployment:

Distributed storage systems can be deployed in a modular manner and support flexible configuration and customization to adapt to different application scenarios.

Cost effectiveness:

Because they can be flexibly scaled according to demand, distributed storage systems offer cost-effectiveness to a certain extent, avoiding over-investment in a single high-performance hardware.

In short, distributed storage systems are ideal for large-scale, high-performance, high-availability storage needs, and are suitable for a variety of application scenarios, such as cloud computing, big data analysis, and content distribution. The use of distributed storage also requires attention to ensuring data consistency, load balancing, fault tolerance and recovery, network latency and bandwidth limitations, security, monitoring and logging, upgrade and maintenance, cost management, and more.