Filter It!

A microservice-based, scalable image sharing platform.

Purpose

This application serves as a platform for uploading images and applying various filters to said images, before sharing the image to the rest of the users on the platform - akin to Instagram.

The project was created as part of a university assignment for a unit in Cloud Computing. It explores the implemenation of various AWS services to create a scalable and persistent application, where it dynamically responds to changes in load, and uses both long term (S3/DynamoDB) and short term storage (ElastiCache).

Deployment

Prerequisites

• AWS account
• Valid AWS credentials present on your machine
• Docker
• Terraform
• ImageMagick development libraries (sudo apt-get install libmagickwand-dev)
• Go
• yarn

Terraform is used to deploy the various AWS services used in this application. To deploy the infrastructure:

cd deployments
terraform init
terraform apply

The frontend NextJS application (in website) is not automatically deployed (currently). To deploy the website, create a file website/.env.local with the contents:

NEXT_PUBLIC_API_URL=<api gateway url>

Where <api gateway url> is the invoke_output variable found after running terraform output.

Then,

cd wesbite
yarn build

And copy the entire contents of website/out/ into the filterit-staticsite S3 bucket on AWS. The application should then be accessible from the S3 bucket's public URL.

AWS Services

Architecture Diagram

Authors

• Zachary Nicoll

• Audi Bailey