Micro Service Architecture with Machine Learning Application

Masato Fujitake

Length: Short Talk

Target Level: Intermediate

Abstract

Machine Learning (ML) Application has become one of the most important features in Web applications. Therefore, deploying ML Application properly is crucial to develop your web application. This talk gives you how to deploy ML Application as REST API and efficient architecture which makes you easier update your ML Application.

Agenda

• Who am I
• What is Machine Learning
• How to deploy machine learning application on Flask.
• What is the problem of this architecture
• What is Micro Service Architecture
• How can we realize Micro Sevice
  • Explanation about gRPC
• Whole Architecture of Micro Service with ML Application
• Conclusion
• Q&A (1m)