LeetCode - Online Coding Platform

Description

LeetCode is an online coding platform designed to allow users to engage with coding challenges and practice their programming skills. The platform uses a microservices architecture, leveraging containers and message queues for efficient processing.

Table of Contents

• LeetCode - Online Coding Platform
  • Description
  • Table of Contents
  • Features
  • Custom Sections
    • How It Works
    • Architecture Overview
    • Technologies Used
  • Acknowledgements

Brief Overview

• Microservices Architecture & Scalability : Architected an advanced, highly scalable microservices-based platform for code compilation and execution, ensuring seamless scalability and high availability with AWS deployment and auto-scaling capabilities.

• Dynamic Problem Administration : Engineered a sophisticated Problem Admin Service using JavaScript, Express, and MongoDB to manage CRUD operations for problems, incorporating complex test cases and code stubs to facilitate comprehensive evaluation.

• Advanced Code Execution : Developed a cutting-edge Executor Service in TypeScript and Express, leveraging Docker containers to support multi-language code execution (Java, Python, C++). Employed Strategy and Factory design patterns to optimize execution environments and manage Time Limit Exceeded (TLE) conditions effectively.

• High-performance Asynchronous Communication : Designed a robust submission service with Fastify, handling a high volume of requests with exceptional performance. Utilized Redis message queues for efficient asynchronous communication, ensuring seamless integration between submission and executor services. Implemented WebSocket services to provide real-time feedback to users, enhancing interactivity and responsiveness.

• AWS Deployment & Operational Excellence : Deployed the entire system on AWS, utilizing auto-scaling groups, load balancers, and monitoring tools to ensure optimal performance, fault tolerance, and operational excellence.

Features

• Problem Statement Creation: Users can create and manage coding problems.

• Code Evaluation: Docker containers are used to evaluate code submissions.

• Result Processing: Manages the submission and processing of results.

• Real-time Feedback: WebSocket services provide real-time feedback to users.

• Scalability & High Availability: AWS deployment ensures scalability and high availability.

• Performance Optimization: Redis message queues and Fastify services optimize performance.

• Multi-language Support: Supports code execution in Java, Python, and C++.

• Operational Excellence: Utilizes auto-scaling groups, load balancers, and monitoring tools for operational excellence.

• Interactive User Interface: Provides an interactive user interface for a seamless user experience.

• Comprehensive Problem Administration: Supports CRUD operations for problems, including test cases and code stubs.

• Efficient Code Execution: Optimizes execution environments and manages Time Limit Exceeded (TLE) conditions effectively.

• Asynchronous Communication: Utilizes Redis message queues for efficient asynchronous communication.

• High-performance Submission Service: Handles a high volume of requests with exceptional performance.

• AWS Deployment: Deploys the entire system on AWS for optimal performance and fault tolerance.

Custom Sections

How It Works

1. Problem Creation: Users create coding problems.
2. Code Submission: Users submit their code solutions.
3. Code Evaluation: Submitted code is evaluated in Docker containers.
4. Result Submission: Results are processed and returned to users.

Architecture Overview

Technologies Used

• Frontend: ReactJS, WebSocket
• Backend: Fastify, Express, TypeScript
• Database: MongoDB
• Execution: Docker, Java, Python, C++
• Communication: Redis, WebSocket
• Deployment: AWS

Acknowledgements

Special thanks to the Mentors, resources and communities: