Real Time

Engineering Systems for Real-Time Predictions @DoorDash

QCon: Can you describe the machine learning platform you have leverage at DoorDash?

Raghav: We built our system around common machine learning open source libraries in Python like SciKit-Learn, LightGBM, and Keras. We have a microservices architecture also built in Python which includes a prediction service that handles all the predictions and a features service. All the services are hosted on AWS.

QCon: Can you briefly describe your real-time prediction system?

Raghav: Our Prediction system responds to HTTP/RPC requests, it accesses a model store to fetch the right model to use and obtains features from a features service.