Two Easy Ways to Deploy Your Model to AWS BEANSTALK

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You’ll deploy your model and application to AWS Beanstalk with the easiest two ways.

Easy-to-follow, step-by-step explanations will be your guide on this journey.

You’ll love it.

This article is a part of the AWS-ML list. You can find the other articles on the series here.

CONTENTS

Introduction

Model Deployment using AWS Beanstalk GUI(Graphical User interface)

Model Deployment using AWS Beanstalk CLI(Command Line interface)

Discussion

INTRODUCTION

Based on the AWS Beanstalk web page:

AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS.

You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring.

In this article, I will show you two different ways to upload Flask applications to AWS Beanstalk.