Refactor Image Filtering Application into Microservices and Deploy to AWS with Kubernetes

Image Filtering application, a simpler Instagram version. It allows users to register and log into a web client, post photos to the feed, and process photos using an image filtering microservice.

I was provided with the application in its monolithic form. I refactored the application into microservices and deployed it to AWS.

Project Tasks

For this project, I carried out the following:

• Refactored the monolithic application into microservices.
• Created s3 bucket and RDS database to store images and user data.
• Set up each microservice to run on separate Docker containers.
• Set up a reverse proxy server to route requests to the appropriate microservice.
• Set up CircleCI as a CI/CD to build and test the application and push images to DockerHub.
• Deployed the DockerHub images to the Elastic Kubernetes Service (EKS) cluster.
• Employed AWS CLI to interface programatically with AWS services and kubectl to manage the Kubernetes cluster.
• Set up logging and monitoring for the microservices using kubectl logs.

Components

The project has 2 main components:

1. Frontend Web App - Angular web application built with Ionic Framework

2. Backend RESTful API - A Node-Express application with a Postgres database

Refactoring the Monolithic Application

• Initial API contained logic for both users and feed endpoints. I had to refactor the API into two separate microservices that can be run independently.
• Configured the Dockerfile for the frontend service.
• Created a reverse proxy running the Nginx server to route requests between frontend and the appropriate microservices.

Continuous Integration Pipeline

• Created respective DockerHub repositories for each microservice.
• Set up CircleCI to build and test the application and push images to DockerHub.

Container Orchestration

• Created a Kubernetes cluster on AWS EKS and respective NodeGroups using kubectl.
• Deployed the DockerHub images to the EKS cluster.
• Connected k8s services to allow communication between the microservices.

More screenshots are in the screenshots folder