Sangfor HCI and aSV provide a unified infrastructure combining compute, storage, networking, and built-in security to simplify deployment, operations, and services.
You can create data balancing task for different virtual datastores. After the task is created, the available storage space of each node will be restricted to a certain range.
Suppose the remaining storage space is below a certain range. In that case, the data balancing task will be executed automatically to have VM files stored on the node short of resources moved to another node. Data that have been migrated will be evenly written into each disk to keep disk usage balanced.
Precautions
The schedule set for the data balancing plan is generally recommended to be during idle time of the user's business so that the I/O generated during data balancing has less impact on the normal I/O of the business. If the balance is not completed within the set time range of the day, the balance task will stop and continue to complete the balance during the next scheduled time.
Suppose all the disks in the virtual datastore exceed 90%, and the capacity usage of any two disks is less than 2%. In that case, it means that the capacity of the entire virtual datastore is about to be exhausted. The None method has passed the data balancing, so each component is still available. Sufficient space continues to be used for normal data writing, and the virtual datastore space must be expanded at this time.
Prerequisites
When the user has set a data balancing plan, if the difference between the highest and lowest disk capacity usage in the volume is found to exceed 30%, the balance is triggered until the usage of any two hard disks in the volume does not exceed 20%.
2. Suppose the user does not set a data balancing plan when the space usage of a certain disk in the virtual datastore exceeds 90%. In that case, automatic balancing is triggered until the highest and lowest disk capacity usage in the volume is less than 3%.
Steps
Go to Storage > Virtual Storage and click Settings.
Select Data Balancing, and configure the schedule for the data balancing task. It is recommended to schedule during the non-production hour.