Table of Contents

• Udagram Image Filtering Application
• Demo
• Project Architecture Diagram
• Kubelet - Pod Diagram
• File Structure
• What to do

Udagram Image Filtering Application

Udagram is a simple cloud application developed alongside the Udacity Cloud Engineering Nanodegree. It allows users to register and log into a web client, post photos to the feed.

The main project purpose was to split a monolithic project into microservices.

The project is split into four parts:

1. Frontend - Angular web application built with Ionic Framework
2. Backend RESTful USER API - Node-Express application
3. Backend RESTful FEED API - Node-Express application
4. Reverse Proxy - Nginx

Technologies and concepts used:

1. AWS Simple Storage Service (S3) as File Storage
2. Elastic Kubernetes Service (EKS) as Kubernetes Manager
3. AWS RDS - PostgreSQL
4. Docker and Dockerhub
5. Nginx as Reverse Proxy/Load Balancer
6. Travis as CI Tool
7. Angular and Express Frameworks

Demo

Project Architecture Diagram

Kubelet - Pod Diagram

File Structure

root  
│
└───K8s: All deployment, service and service secrets files
│   
└───Others: README.md stuffs
│   
└───screenshots: same screenshots about state of application
│   
└───services
│   │   
│   └───feed-service: which is used to serve feeds
│   └───frontend-service: which is used to serve angular/ionic app
│   └───reverseproxy-service: load balancer
│   └───user-service: which is used to manage sign in/out and authentication

What to do

• Add a image processing / resizer service
• Upate nginx load balancer for 404 Not Found request
• Upgrade logging system with best practices
• Secure AWS resources for least-privileged access for IAM roles
• Create dependency graph of application services and AWS resources
• Add self healing end points
• Update of k8s' pods when docker container in dockerhub is updated automatically