Massive Data Archiving

Business challenge

Massive data explosion

With the rapid growth and long-term storage of massive data, traditional storage is difficult to cope with due to scalability limitations

Data is isolated and difficult to flow

The diversification of unstructured data makes it difficult to realize the flow reuse and unified management between different applications

Data is difficult to manage automatically

Diverse and massive data, with different access requirements and life cycles, is difficult to automate management

Solution architecture

Scheme characteristics

multisite

Multi-site synchronization implements data center-level disaster recovery to improve service continuity

multi-cluster

Planning the performance and capacity of multiple clusters meets the requirements of various service scenarios

multi-protocol

Support multiple protocols to access the same data, facilitating data flow and reuse

automate

Automated data migration, archiving and backsourcing agents simplify enterprise data operation and maintenance

Scheme value

Improve data availability

Fine-grained policies are used to control data in a specified range to synchronize data from multiple sites, improving data reliability. The multilevel fault domain mechanism ensures service data availability while meeting data compliance and security requirements

Both performance and cost

Storage clusters that use the full flash or cache solution meet high-performance read and write requirements, and combine low-cost large-capacity storage clusters with data lifecycle management capabilities to store and archive massive data at low cost

Automated data management

By defining life cycle rules, you can automatically migrate and archive data, change storage categories, and delete data based on data features and requirements to optimize storage resource utilization and data management efficiency