Image Filtering Project With Microservices

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

Chosen Architecture

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.
3. This project uses a continuous integration tool such as travis (travis.yml), docker and kubernetes

Environment Script

Set the config values for environment variables through kubernetes's secrets:

kubectl create secret generic prod-db-secret --from-literal=username=produser --from-literal=password=Y4nys7f11

Don't forget to update the deployment.yaml specifying the environment variables declared as secrets.

Database

Create a PostgreSQL database either locally or on AWS RDS. Set the config values for environment variables through kubernetes's secrets:

kubectl create secret generic prod-db-secret --from-literal=username=produser --from-literal=password=Y4nys7f11

Don't forget to update the deployment.yaml specifying the environment variables declared as secrets.

S3

Create an AWS S3 bucket. Set the config values for environment variables through kubernetes's secrets:

kubectl create secret generic prod-db-secret --from-literal=username=produser --from-literal=password=Y4nys7f11

Don't forget to update the deployment.yaml specifying the environment variables declared as secrets.

Backend API

• To download all the package dependencies, run the command from the directory udagram-api/:

  npm install .

• To run the application locally, run:

  npm run dev

• 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.

Frontend App

• To download all the package dependencies, run the command from the directory udagram-frontend/:

  npm install .

• Install Ionic Framework's Command Line tools for us to build and run the application:

  npm install -g ionic

• Prepare your application by compiling them into static files.

  ionic build

• Run the application locally using files created from the ionic build command.

  ionic serve

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