Real-Time Machine Learning at Headspace

Introduction

Real-Time Inference Requirements

Challenges Adapting the Traditional ML Model Workflow

High Level Architecture Overview

The Publishing and Serving Layer: Model Training and Lifecycle Deployments

The Receiver Layer: Event Stream Ingestion with Apache Spark Structured Streaming Scheduled Job

The Orchestration Layer: Decoupled Event Queues and Lambdas as Feature Transformers

Summary

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store