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, and process photos using an image filtering microservice.

The project is split into two parts:

1. Frontend - Angular web application built with Ionic Framework
2. Backend RESTful API - Node-Express application

Getting Started

Prerequisite

1. The depends on the Node Package Manager (NPM). You will need to download and install Node from https://nodejs.com/en/download. This will allow you to be able to run npm commands.
2. Environment variables will need to be set. These environment variables include database connection details that should not be hard-coded into the application code.

1. Database

Create a PostgreSQL database either locally or on AWS RDS. The database is used to store the application's metadata.

• We will need to use password authentication for this project. This means that a username and password is needed to authenticate and access the database.
• The port number will need to be set as 5432. This is the typical port that is used by PostgreSQL so it is usually set to this port by default.

2. S3

Create an AWS S3 bucket. The S3 bucket is used to store images that are displayed in Udagram.

3. Backend API

Launch the backend API locally. The API is the application's interface to S3 and the database.

• You can visit http://localhost:8080/api/v0/feed in your web browser to verify that the application is running. You should see a JSON payload. Feel free to play around with Postman to test the API's.

4. Frontend App

Launch the frontend app locally.

• You can visit http://localhost:8100 in your web browser to verify that the application is running. You should see a web interface.