Hi, I'm looking to implement a new metric in NiFi based upon some research performed by an intern last summer. It would be a 'time-to-capacity' estimate that would predict capacity overloads in dataflows. The goal would be to predict estimated time to overload within data flows and provide means to alert interested parties prior to that overload failure. The initial method would involve sampling real-time information directly from NiFi and calculating the rate of input/output for data connections using a sliding window in time. A value would be calculated estimating the remaining time until capacity overload by assuming a constant input/output difference over the sampled timeframe. This value would be updated at regular intervals using the latest input/output information. This method could be refined and improved as needed in time.
I'm seeking comments on the level of difficulty you think this would entail, i.e., does it sound feasible? I'm also seeking a sense on how amenible the community would be to adding a new metric to NiFi and having it added to the stats page. Suggestions as to good portions of code where existing metric calculations are made and presented would be helpful as well. Thanks, Mark
