Image Processing Application with AWS

Project Description

This project is an image processing application leveraging AWS services, including S3, SQS, and EC2. It consists of a client application for image uploading, an EC2 worker application for image processing, and a web interface for user interactions. The web interface is powered by a Java servlet that handles HTTP requests and integrates seamlessly with AWS services.

Features

• Image Uploading: Users can upload images through a web interface.
• Image Processing: Images are processed on an AWS EC2 instance using ImageMagick.
• Result Retrieval: Users can view and download the processed images.

Architecture Overview

1. Client Application: A Java-based uploader that sends images to an AWS S3 bucket and posts messages to an SQS queue.
2. EC2 Worker Application: Listens for messages in the SQS queue, processes the images using ImageMagick, and uploads the processed images back to S3.
3. Web Server: Deployed on Apache Tomcat, it encapsulates the client application and uses Java Servlets to handle HTTP requests and serve the web application efficiently.
4. Web Frontend: A simple HTML interface hosted on Apache, allowing users to upload images for processing.

Technologies Used

• AWS S3
• AWS SQS
• AWS EC2
• Java
• ImageMagick
• Apache Tomcat
• Apache HTTP Server
• Java Servlets

Setup and Deployment

• Please refer to the comprehensive guide provided in the project's documentation for details on setting up and deploying the application components on AWS.
• Click here to access the setup guide.