box/StatusWolf

Anomaly detection runs out of memory on larger datasets

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On metrics with a lot of data, or on searches over longer time periods, the anomaly detection process will run out of allocated memory, tested up through a configured 4GB for the process. Need to optimize this process so that it works on smaller chunks of the data at a given time to better use server memory.

Found and fixed the memory leak, anomaly detection is now much better on memory usage.