IoT platform provides infrastructure automation for provisioning cloud native or hybrid platforms with inference layer built in cloud or on gateway node. Platform provides implementation of Sagemaker-based inference layer in the cloud and Greengrass-based inference layer which can be deployed on manufacturing gateway node. Platform also comes with predefined strategy for data collection, storage, processing and visualization, sandbox for model development and deployment in the cloud or on the edge, integration with IoT services like Sitewise or TwinMaker. On top of provisioned platform anomaly detection models are deployed which are reference implementations to show case end-to-end integration between manufacturing gateway node and the cloud. Anomaly detection models are processing signals from incoming dataset and identifying amonalies in turbines.