eAxis Analytics: Serverless Dev Site
Developed on AWS S3 with CloudFront Using Lambda as a Microservice
This site is used for developing, testing and deploying various dev projects. The public demos
largely focus on machine learning and deep learning. Only a few of the projects are publicly
accessible, and more will be added over time.
The entire website is a project. It is a completely serverless static HTML site with global
scale running on AWS (Amazon Web Services). The general architecture of this site is as follows:
- It is static HTML based on the responsive Foundation Framework using Node.js and JSON for displaying dynamic content generated by Lambda microservices.
- The front-end is AWS CloudFront, which is Amazon’s CDN. This means the site scales globally through Amazon’s worldwide edge network.
- The site is hosted in a private S3 bucket configured as a REST endpoint. CloudFront uses OAI (Origin Access Identity) to access the private S3 files. This means the site files can only be accessed through CLoudFront.
- Serverless Lambda and Lambda@Edge functions enable the dynamic site content including:
- All machine learning models are Lambda functions.
- Lambda@Edge through CloudFront provides Basic Authentication for access to the private area of the site. This private area houses projects not yet publicly released.
- Since CloudFront only enables a default document (index.html) in the root directory of the site, Lambda@Edge through CloudFront is used to enable default documents for all site directories. This means URLs like dev.eaxis.com/ml-models/nlp/ work through CloudFront.
- The Contact Us form uses a Lambda@Edge function through an API Gateway to process submitted data.
Machine Learning Demos:
JavaScript Fourier Analyzer using Angular Dart:
© Copyright 2020 by eAxis LLC
All Rights Reserved