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Chess.com

♟️ Chess.com serves over 100 million members globally, handling millions of concurrent games with real-time synchronization. This document outlines the comprehensive architecture that enables Chess.com to deliver low-latency gaming experiences with 99.9% availability.

High-Level Architecture

Core Components

1. Real-time Game Engine

Key Features:

  • Sub-100ms move latency globally
  • Support for 1M+ concurrent games
  • Automatic reconnection handling
  • Clock synchronization with latency compensation
  • Technologies: Golang, WebSocket, Redis Pub/Sub

2. WebSocket Gateway

WebSocket Features:

  • Sticky sessions for connection persistence
  • Binary protocol for efficiency
  • Redis Pub/Sub for cross-server communication
  • Automatic failover and reconnection

3. Matchmaking System

Matchmaking Features:

  • Rating-based matching (Glicko-2)
  • Dynamic range expansion based on wait time
  • Region-aware for latency optimization
  • Anti-abuse and fair play measures

4. Rating System (Glicko-2)

Glicko-2 Algorithm:

  • More accurate than traditional Elo
  • Rating deviation decreases with more games
  • Volatility tracks performance consistency
  • Separate ratings per time control

5. Game Analysis Engine

Analysis Features:

  • Stockfish 16 integration
  • Cloud-based analysis for premium
  • Move accuracy calculation
  • Blunder and mistake detection
  • Opening and endgame databases

6. Tournament System

Tournament Features:

  • Multiple tournament formats
  • Automated pairing algorithms
  • Live standings and tiebreakers
  • Prize pool management
  • Spectator mode with commentary

Data Architecture

1. PostgreSQL (Primary Database)

2. Redis (Real-time State)

3. MongoDB (Content Storage)

4. ClickHouse (Analytics)

Anti-Cheat System

1. Cheat Detection Architecture

Anti-Cheat Features:

  • Real-time move correlation with engines
  • Behavioral pattern analysis
  • Statistical anomaly detection
  • Machine learning classification
  • Human review for edge cases

2. Fair Play Monitoring

Puzzle System

1. Puzzle Generation & Rating

Puzzle Features:

  • 4+ million rated puzzles
  • Adaptive difficulty selection
  • Theme-based training
  • Spaced repetition for learning
  • Daily puzzle challenges

Scalability & Performance

1. Horizontal Scaling

2. Latency Optimization

Monitoring & Observability

1. Monitoring Stack

2. Key Metrics

Deployment and DevOps

1. Continuous Deployment Pipeline

  • Kubernetes: Container orchestration
  • Canary releases: Traffic percentage splitting
  • Feature flags: Gradual feature rollout
  • Automated rollback: Error-rate triggered

2. Infrastructure as Code

  • Terraform: Infrastructure provisioning
  • Helm charts: Kubernetes deployments
  • GitOps: Configuration as code

3. Chaos Engineering

  • Connection resilience testing: WebSocket failure scenarios
  • Cache failure drills: Redis cluster issues
  • Load testing: Tournament peak traffic
  • Recovery validation: Reconnection flows

Analytics and Machine Learning

1. Data Pipeline

2. ML Use Cases

  • Cheat detection: Engine correlation analysis
  • Puzzle difficulty: Rating calibration
  • Opening explorer: Move popularity and win rates
  • Player insights: Performance patterns
  • Matchmaking optimization: Queue time vs rating match

Cost Optimization

1. Infrastructure Cost Distribution

2. Cost Optimization Strategies

Future Architecture Considerations

1. Emerging Technologies

Mobile Architecture

1. Mobile App Architecture

Conclusion

Chess.com's architecture demonstrates expertise in building real-time, low-latency gaming platforms at massive scale. The system successfully manages:

  • Real-time Gaming: Sub-100ms move latency for millions of concurrent games
  • Scalable Infrastructure: Horizontal scaling for peak traffic
  • Fair Play: Sophisticated anti-cheat detection systems
  • Rich Features: Analysis, puzzles, tournaments, and lessons
  • Global Reach: Low-latency access worldwide

Key Architectural Principles:

  1. Real-time First

    • WebSocket-based communication
    • In-memory game state with Redis
    • Edge computing for latency reduction
  2. Scalability

    • Stateless application servers
    • Consistent hashing for session affinity
    • Auto-scaling based on demand
  3. Data Integrity

    • Glicko-2 rating system
    • Comprehensive game history
    • Immutable move logs
  4. User Experience

    • Adaptive matchmaking
    • Personalized puzzle selection
    • Cross-platform synchronization
  5. Fair Play

    • Multi-layered cheat detection
    • Real-time and post-game analysis
    • Human review for appeals

The platform continues to evolve with new features like improved AI opponents, enhanced analysis tools, and expanded educational content, maintaining its position as the world's largest online chess platform.

This architecture represents Chess.com's known systems and best practices. Actual implementation details may vary.