We need a story/RI/Example around managing ONAP logs in terms of pattern recognition, anomaly detection and bulk/streamed machine learning processing

In particular sagemaker
https://console.aws.amazon.com/sagemaker/home?region=us-east-1#/landing

we will use AWS ML to start (EMR/Spark, S3, AWS ES, Sagemaker, AWS ML, AWS DeepLens, AWS Deep Learning AMI (TensorFlow, Gluon, Apache MXNet, Caffe2, Keras, PyTorch)