Determining Capacity in Storage Systems Using Machine Learning Techniques

A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

• to obtain capacity-related data from at least one storage system;
• to forecast, for a given temporal period, capacity of each of one or more storage objects of the at least one storage system by applying one or more machine learning techniques to at least a portion of the obtained capacity-related data;
• to aggregate the forecasted capacity for at least portions of the one or more storage objects;
• to determine, based at least in part on the aggregated forecasted capacity of the one or more storage objects, whether at least a portion of the at least one storage system will run out of capacity in connection with the given temporal period;
• and
• to perform one or more automated actions based at least in part on the determination as to whether the at least a portion of the at least one storage system will run out of capacity.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to obtain capacity-related data from at least one storage system;
• to forecast, for a given temporal period, capacity of each of one or more storage objects of the at least one storage system by applying one or more machine learning techniques to at least a portion of the obtained capacity-related data;
• to aggregate the forecasted capacity for at least portions of the one or more storage objects;
• to determine, based at least in part on the aggregated forecasted capacity of the one or more storage objects, whether at least a portion of the at least one storage system will run out of capacity in connection with the given temporal period;
• and
• to perform one or more automated actions based at least in part on the determination as to whether the at least a portion of the at least one storage system will run out of capacity.