Grubhub System Design

Scaled up on AWS EC2 instances

Result: 5500 request per second within 0.1 % of error rate

Inherited front-end codebase and scaled up on AWS EC2 instances
Populated 10M fake product data with Node.js Streams and seeded on MongoDB
Benchmarked MongoDB and Postgres, and got a better result with MongoDB in terms of latency and error rate under high traffic
Optimized Nginx on Ubuntu with the least connection algorithm to handle 5500 request per second within 0.1 % of error rate

git clone https://github.com/matthewmata/nav-about.git
cd nav-about
npm install
npm start

You need to install Nodejs.

Name		Name	Last commit message	Last commit date
Latest commit History 105 Commits
__mocks__		__mocks__
__tests__		__tests__
client		client
database		database
loader.io		loader.io
public		public
server		server
.DS_Store		.DS_Store
.dockerignore		.dockerignore
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
babel.config.js		babel.config.js
docker-compose.yml		docker-compose.yml
package-lock.json		package-lock.json
package.json		package.json
webpack.config.js		webpack.config.js

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