The backend engine is currently optimized for 1-sec and 10-sec data feeds. The analysis of the data takes less than 300 ms per data row on a computer having a 2.4 GHz processor speed and 8 GB of RAM. This includes running the models for data cleansing, rig state detection, unplanned event detection, drilling advisory, hydraulics monitoring, torque and drag estimation and cuttings transport. Disabling unwanted modules can result in faster run times. It is possible, with some ingenuity, to run the backend engine on a Raspberry PI.