Multi Cloud Image Processing Web Application

In this project, we would be creating a multi cloud image processing web application.

Cloud Providers

1. AWS
2. Azure
3. GCP

AWS

We would be using AWS for image storage and stitching togather web application interaction with other services.

• AWS S3 for Image Storage and Lambda Code Artificats.
• AWS Lambda for eventing the image processing application and providing secure access to S3 bucket.
• AWS API Gateway will be publishing the API for Web Application.

Azure

We would be using Azure for image analysis.

• Azure Conginitive Service ( Computer Vision API) will be used for image processing.

GCP

GCP would be used for realtime database.

• GCP Firestore for realtime database.

Setup

1. Install AWS CLI and run aws configure to connect AWS.
2. Use az login -u <user> -p <password> to connect Azure.
3. Create a service account into GCP project and download service account key json file.
4. Install gcloud and run gcloud auth activate-service-account <service account> --key-file=<json filepath>
5. For windows, run $env:GOOGLE_APPLICATION_CREDENTIALS="<json file path>"

Architecure

Screen

Improvements

1. User SingUp and SignIn.
2. Authenticate API Gateway.
3. Expose Image to user via Cloud Front.
4. Blue/Green Deployment for Lambda Function.
5. Elastic Beanstalk for NodeJs Front End Application.