https://github.com/chandrakanthrck/chronoscore
Real-time leaderboard system handling high traffic and providing live ranking updates.
https://github.com/chandrakanthrck/chronoscore
kafka near-real-time postgresql redis-cache scalable-applications web-socket
Last synced: 4 months ago
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Real-time leaderboard system handling high traffic and providing live ranking updates.
- Host: GitHub
- URL: https://github.com/chandrakanthrck/chronoscore
- Owner: chandrakanthrck
- Created: 2024-09-08T11:19:21.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-09-09T02:37:52.000Z (9 months ago)
- Last Synced: 2025-01-31T02:04:17.012Z (4 months ago)
- Topics: kafka, near-real-time, postgresql, redis-cache, scalable-applications, web-socket
- Language: Java
- Homepage:
- Size: 64 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ChronoScore
Welcome to ChronoScore, a cutting-edge real-time leaderboard system designed to handle massive scale and deliver instantaneous results. This project tackles the complex challenges of building and maintaining a high-performance leaderboard in a dynamic environment.
## Overview
Designing a real-time leaderboard system is no small feat. It involves balancing performance, scalability, and data consistency. With ChronoScore, we dive deep into the intricacies of real-time data processing and present a robust solution for online platforms where user engagement and rewards drive success.
### Scenario
Imagine an online gaming platform with the following requirements:
- **Active Users**: 50 million
- **Daily Active Users**: 10 million
- **Leaderboard Update**: Real-time or near real-time
- **Data Consistency**: Eventual consistency is acceptable
- **Display**: Top 10 users and their ranks
Our goal is to create a system that efficiently processes and displays the top performers, even under high load conditions.
## System Design
### Challenges
1. **High Load Handling**: With millions of daily active users, the system must handle a significant volume of updates and queries without performance degradation.
2. **Real-Time Updates**: Ensuring that the leaderboard reflects the latest user scores instantly or within a near-real-time window.
3. **Scalability**: The system should scale horizontally to accommodate growing user numbers and data.
### Design Overview
- **Database Design**: We use PostgreSQL for its reliability and performance. The core tables include:
- **`user_score`**: Stores user scores.
- **`users`**: Contains user profile information.
These tables are designed to support efficient querying and updates, essential for real-time operations.
- **System Architecture**: The architecture is optimized for high throughput and low latency, using a combination of caching, asynchronous processing, and efficient querying techniques.
### Key Components
- **Data Aggregation**: Implemented to aggregate user scores and calculate rankings efficiently.
- **Real-Time Processing**: Utilizes streaming technologies and event-driven architecture to ensure timely updates.
- **Scalability**: Designed to scale both vertically and horizontally, adapting to varying load conditions.
## License
This project is licensed under the MIT License
ChronoScore is designed to be a robust, scalable solution for real-time leaderboard systems, combining practical design with cutting-edge technology to deliver exceptional performance.