Automatically remediating storage device issues 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 performance-related information pertaining to one or more storage devices;
• to automatically determine one or more workflows to be executed in connection with remediating at least one issue attributed to at least a portion of the one or more storage devices, wherein determining the one or more workflows comprises applying one or more machine learning techniques to the obtained performance-related information;
• and
• to perform one or more automated actions based at least in part on the one or more workflows.

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 performance-related information pertaining to one or more storage devices;
• to automatically determine one or more workflows to be executed in connection with remediating at least one issue attributed to at least a portion of the one or more storage devices, wherein determining the one or more workflows comprises applying one or more machine learning techniques to the obtained performance-related information;
• and
• to perform one or more automated actions based at least in part on the one or more workflows.