Mssrinivas LinkedIn Clone Save

Developed user profile, connections, job listing and application modules using MERN Stack and Kafka. Implemented Redis for data caching, containerized the application services and hosted on AWS. Implemented MongoDB replication and tested the performance on JMeter and Mocha.

Project README

Professional Networking

LinkedIn-Clone

  • Developed user profile, connections, job listing and application modules using MERN Stack and Kafka.
  • Implemented Redis for data caching, containerized the application services and hosted on AWS.
  • Implemented MongoDB replication and tested the performance on JMeter and Mocha.

Developed by a team of 6 (please check contributors for more details).

https://cmpe-273-linkedin.herokuapp.com

Application Architecture Diagram

Architecture

Database Schema

Database_Schema

Performace Trace ( JMeter Testing )

Performance_1

Performance_2

Features Provided

  • User Login and Sign Up
  • Recruiter Login and Sign Up
  • Search People
  • Search Jobs
  • Connect People / Recruiters
  • Easy Apply / Custom Apply
  • View Connections
  • Search Jobs based on Location, Company Name
  • Accept / Remove / Ignore Connections
  • Post Jobs
  • Specific To Recruiter
  • Send / Receive Messages
  • View Half Filled Forms (specific to recruiter)
  • Number of views of your post (specific to recruiter)
  • View Clicks on your post (specific to recruiter)
  • View Number of Applicants of your post (specific to recruiter)
  • View Your Top Posts (specific to recruiter)

Technologies Used

  • React
  • Redux
  • Node
  • AWS RDS MySql
  • Mongo DB Cluster
  • Kafka
  • Plotly
  • S3 Buckets
  • Json Web Token

What is Kafka?

Kafka is a distributed messaging queue which is an imperative programming structure which is based event-driven programming.

Kafka Features
  • Publish and subscribe messaging queue.
  • Reacts to events in a real time
  • High tolerance with highly available .
Kafka Semantics
  • Atleast Once
  • Atmost Once
  • Only once (most difficult one)

Scaling Techniques

  • Mongo DB Cluster with Replica sets
  • Auto Scaling groups with Elastic Load Balancing
  • AWS RDS Cluster

Installation Requirements

For development, you will only need Node.js installed on your environement. And please use the appropriate Editorconfig plugin for your Editor (not mandatory).

Node

Node is really easy to install & now include NPM. You should be able to run the following command after the installation procedure below.

$ node --version
v0.10.24

$ npm --version
1.3.21

Node installation on Linux

sudo apt-get install python-software-properties
sudo add-apt-repository ppa:chris-lea/node.js
sudo apt-get update
sudo apt-get install nodejs

Node installation on Windows

Just go on official Node.js website & grab the installer. Also, be sure to have git available in your PATH, npm might need it.


Front End

Install

$ git clone https://github.com/mssrinivas/LinkedIn-Clone.git
$ cd LinkedIn-Clone/linkedin-frontend
$ npm install

Start & watch

$ npm start

Back End

Install

$ git clone https://github.com/mssrinivas/LinkedIn-Clone.git
$ cd LinkedIn-Clone/linkedin-backend/
$ npm install

Start & watch

$ npm start
Open Source Agenda is not affiliated with "Mssrinivas LinkedIn Clone" Project. README Source: mssrinivas/LinkedIn-Clone

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