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Cloud Native Machine Learning Application in Python

This sample application is written to demonstrate various layers involved in cloud native application.

  • Main Functionality Layer
    • model.py, where we write as much functional as possible
    • test_movie_recommender.py, which gives us an ability to test the functionality locally
  • Output Channel Layer
    • scoring_service.py, which provides REST endpoints for online movie recommendation
  • Deployment Layer
    • submit_training_job.py, which deploys the offline training job on AWS Spark EMR cluster
    • openshift-movie-recommender.yaml, which deploys the online scoring service on OpenShift
  • Data Access Layer
    • abstract_data_store.py, which abstracts various data sources

Slides: https://speakerdeck.com/harjinderhari/coding-for-cloud

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