Duplication avoidance for mutable event based metrics

A computer-implemented method, comprising:

• receiving, at one or more processors, a defined set of one or more metric definitions for monitoring events associated with user interaction;
• detecting, with the one or more processors, events that satisfy the one or more metric definitions;
• assigning, with the one or more processors, a unique identifier to each event that satisfies the one or more metric definitions;
• determining, with the one or more processors for a first number of events, whether the assigned unique identifier is duplicative of any other identifiers in a hash set;
• determining, with the one or more processors, when a second number of events is received, wherein the second number exceeds a threshold;
• and
• determining, with the one or more processors for the second number of events, whether the assigned unique identifier is duplicative of any other identifiers in a probabilistic data structure.

A non-transitory computer-readable medium storing instructions executable by one or more processors for performing a method, comprising:

• receiving a defined set of one or more metric definitions for monitoring events associated with user interaction;
• detecting events that satisfy the one or more metric definitions;
• assigning a unique identifier to each event that satisfies the one or more metric definitions;
• determining, for a first number of events, whether the assigned unique identifier is duplicative of any other identifiers in a hash set;
• determining when a second number of events is received, wherein the second number exceeds a threshold;
• and
• determining, for the second number of events, whether the assigned unique identifier is duplicative of any other identifiers in a probabilistic data structure.