Hello Splunk Community!
In MLTK version 5.3.1, the streaming_apply feature was removed due to bundle replication performance issues. However, I am currently facing a problem where executing a continuously updated model in a distributed fashion across all available search peers in our Splunk Enterprise setup would be highly beneficial.
As information on this former functionality appears sparse, I wanted to inquire regarding best way to handle automatically replicating the trained model to the search peers and executing it there, if it is at all still possible.
A previous question asked here (How to export/import/share ML models between Splunk instances and external system? ) hinted at manually copying the model files into the target lookup folder as an alternative to using streaming_apply. With daily updates to the model, this is sadly not an option in our deployment.
Thanks for your help!
Best regards
LJ
