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Reactive ML & FP for Responsive, Resilient, Elastic Systems

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Jeff Smith
Jeff Smith

The document discusses reactive machine learning and functional programming. It describes how reactive systems are responsive, resilient, elastic and message-driven. It then provides examples of how data collection events and functional transformations can be used in a reactive machine learning pipeline. Models are treated as pure functions and supervised through a model supervisor architecture. The document concludes by recommending several reactive resources and frameworks that can enable large-scale reactive machine learning.

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Reactive Machine Learning & Functional Programming
Problem
Machine Learning
Reactive Systems
Responsive Resilient Elastic Message-Driven
Responsive
Resilient
Elastic
Message-Driven
Responsive Resilient Elastic Message-Driven
Replication Isolation/ Containment Supervision/ Delegation
Replication
Isolation/Containment
Supervision/Delegation
Replication Isolation/ Containment Supervision/ Delegation
Example
Data Collection Events
Data Collection Events
Data Collection Events
Data Collection Events
Data Collection Events
Functional Transformations
Functional Transformations
Functional Transformations
Functional Transformations
Functional Transformations
Responsive Resilient Elastic Message-Driven
Replication Isolation/ Containment Supervision/ Delegation
Mario Pipelines
Mario Pipelines
Mario Pipelines
Default Models
Default Models
Default Models
Default Models
Default Models
Models as Pure Functions
Models as Pure Functions
Models as Pure Functions
Models as Pure Functions
Models as Pure Functions
Models as Pure Functions
Modeling Events
Modeling Events
Model Supervisor
Model Supervisor
Model Supervisor
French Bulldog Model Model Supervisor
French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor No one likes dogs!
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor No one likes dogs!
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor
Lapdog Model French Bulldog Model Model Supervisor No one likes dogs!
Lapdog Model French Bulldog Model Model Supervisor No one likes dogs!
Greek Chorus Architecture
Reactive Machine Learning & Functional Programming
Responsive Resilient Elastic Message-Driven
Replication Isolation/ Containment Supervision/ Delegation
Results
reactivemachinelearning.com @jeffksmithjr
Resources • Reactive Persistence Interaction • http://reactivemongo.org/ • http://websudos.github.io/phantom/ • https://github.com/softwaremill/reactive-kafka
Resources • Spark Pipelines • https://github.com/intentmedia/mario • http://blogs.aws.amazon.com/bigdata/post/ Tx21LOP0UQ2ZA9N/Large-Scale-Machine- Learning-with-Spark-on-Amazon-EMR • Reactive Microservices • https://www.typesafe.com/activator/template/akka- http-microservice
Appendix
Service Hierarchy
Model Routing

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Reactive ML & FP for Responsive, Resilient, Elastic Systems