search

arundo / adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series
https://adtk.readthedocs.io
Mozilla Public License 2.0
1.06k stars 143 forks source link

[question] Deployment approaches for ADTK #120

Open sazzouz opened 3 years ago

sazzouz commented 3 years ago

Hi, I have a question about the deployment options I may have with ADTK. I hope it's suitable to ask here. I am enjoying the library a lot, although I'm quite new to this area admittedly. I'm looking to develop an anomaly detection pipeline for network monitoring data. I'd like to have this deployed in an 'online' way such that the model is capable of evolving as new data arrives. I know this is possible with TensorFlow Extended (TFX) and this i quickly becoming the de facto deployment tool for TF models. Is ADTK compatible with tools such as TFX? Is there a recommended deployment approach for 'online' AD with ADTK? Any advice on this would be really appreciated. If someone could point me in the right direction to uncover other tools that might help. I believe this is a common question for using ADTK in production scenarios. Thanks.

tailaiw commented 3 years ago

I'm not quite sure if I understand your question correctly. But ADTK is just like scikit-learn and I don't see a special deployment challenge.

You may need to think about how to apply ADTK for "real-time" inference, but that's more a usage question than a deployment question. Not sure if that's what you asked.