Features¶

Cloud Native Unified Management¶

Hybrid storage access

Unified CSI standardized access to realize multiple data access types (NFS, block storage, local storage) access to meet the needs of different scenarios.
Dynamic memory management

Supports dynamic allocation of storage pool resources, eliminating the need for administrators to manually manage, operate and maintain data volumes.
How to create multiple data volumes

Data volumes can be dynamically created through storage pools, and snapshots can be used to create data volumes.

High performance local volumes

No need for external storage devices, IO localization, no network overhead, high-performance local throughput, and support for applications with high performance requirements such as databases and middleware on the cloud.
Multiple types of data volumes

Supports LVM type and raw disk type data volumes to meet different disk demand scenarios.
CSI standards

Connect to Hwameistor local storage through standard CSI standards, and use postures uniformly.
Active and standby high availability

Realize the multi-copy redundancy mechanism of data volumes to ensure high availability of data and improve the reliability of data reading and writing.
Data volume expansion

Business-insensitive expansion, supports elastic expansion of mounted data volumes during application running.

Non-disruptive upgrade (does not affect business data)

The data plane and the control plane are separated, and when the control plane upgrades/expands nodes, the read and write of business application data has zero perception.
change disc

It supports disk replacement after disk alarms, ensuring that business applications are not affected, and production can be maintained.
One-click expulsion of node data volumes

Manually expel the data volume of a certain node with one click to realize production operation and maintenance.
Automatically expel node data volumes

Combined with Kubernetes eviction behavior to automatically detect and evict data volumes on nodes.
Single disk dimension (LD) data migration

It supports disk replacement when an early warning occurs and all data is migrated to ensure that business application data is not lost.
Data migration of application load dimension

When stateful application rescheduling is supported, data migration is implemented with the application as the dimension, ensuring successful scheduling of business application Pods and data consistency after scheduling.
Unified Dashboard

The unified dashboard displays resource usage and distribution, storage resource status, and monitoring alarms.
Rich Metrics indicators

All-round data service monitoring and alarming realizes comprehensive monitoring of data disks, storage pools and storage drivers, and comprehensively guarantees data security.