Functional & Non-Functional Requirements

Requirements

The online chess service should fulfill the following requirements:

• User registration and authentication: Secure sign-up and login for players.
• Matchmaking: Pair players based on skill level and availability.
• Real-time game updates: Send updates of moves and game states to clients instantly.
• Move validation: Check if moves comply with chess rules.
• Scalability: Support multiple simultaneous games efficiently.

Additionally, the service needs to handle game history, user profiles, and chat functionality for players during matches. Robust APIs for frontend and mobile apps should be designed, enabling easy integration.

Capacity Estimation

Estimation

The system should be designed to support at least 10,000 concurrent games initially. Key components include:

• Web server: Handles user requests, game state updates, and interactions.
• Database: Stores user profiles, game history, and move logs.
• Real-time engine: Processes and broadcasts moves using WebSockets.

Based on rough estimates, the infrastructure would require:

• 3-5 application servers for handling HTTP requests.
• 1-2 WebSocket servers for real-time communication.
• 1 database instance; can scale with read replicas.

API Design

API Design

The APIs will be RESTful for initial requests, with WebSocket endpoints for real-time communication.

• POST /api/register: Registers a new user.
• POST /api/login: Authenticates user credentials.
• GET /api/matchmake: Initiates matchmaking.
• POST /api/move: Submits a player's move.
• GET /api/history: Retrieves a user's game history.

WebSocket endpoint for real-time game updates: wss://api.chessservice.com/games/{game_id}.

Database Design

Database Design

The database schema should include the following entities:

• Users: Stores user profile information.
• Games: Contains active games and their current state.
• Moves: Records each move made in the games, along with timestamps.

Relationships:

• Users can participate in multiple Games.
• Games consist of multiple Moves.

High Level Design

High-Level Architecture

The architecture consists of the following components:

• Client Applications (Web and Mobile)
• Load Balancer: Distributes incoming requests to multiple web servers.
• Application Server: Handles API requests and game logic.
• Real-time WebSocket Server: Manages real-time communication.
• Database: Stores user, game, and move data.
• Cache Layer: Improves performance by caching frequent queries.

Request Flows

Request Flow

The flow of requests between components is straightforward:

1. The player makes a request (e.g., sign-up, move submission).
2. The request routes through the Load Balancer to an Application Server.
3. The Application Server processes the request, possibly accessing the Database or Cache Layer.
4. If it's a move submission, it sends updates via the WebSocket Server to other relevant players.

Detailed Component Design

Key Components

• Load Balancer
• Web Server (using Node.js or similar)
• WebSocket Server (using Socket.io or similar)
• Database (SQL or NoSQL)
• Cache (Redis or Memcached)

These components will interact tightly to ensure real-time updates and maintain a responsive user experience.

Trade-offs & Tech Choices

Trade-offs

Several trade-offs should be considered:

• Database Choice: SQL offers ACID properties, while NoSQL provides easy scaling. Choose based on consistency needs.
• Real-time Communication: Using WebSocket enables real-time features but adds complexity; HTTP long polling could be simpler but less efficient.
• Caching: Introducing cache layers improves performance but can lead to stale data unless managed carefully.

Failure Scenarios & Bottlenecks

Failure Scenarios

Consider these potential failure scenarios:

• Network outages: Implement retry logic and gracefully handle disconnects.
• Database downtime: Use a fallback mechanism or provide error messages to users.
• Unresponsive WebSocket server: Fallback to regular HTTP polling or reconnect logic.

Future Improvements

Future Improvements

Future iterations could include:

• AI opponents for single-player modes.
• Enhanced analytics for player statistics and matchmaking algorithms.
• Integration with social features, such as friend lists and tournaments.

High Level Architecture Diagram

Database ER Diagram

Request Flow Sequence Diagram