A comprehensive collection of distributed system designs and implementations showcasing various architectural patterns, scalability solutions, and modern infrastructure technologies.
This repository contains multiple distributed system implementations demonstrating real-world architecture patterns used by major tech companies. Each system is designed with scalability, reliability, and performance in mind.
- IntelliKV-DB: A distributed key-value database with consistent hashing, replication, and fault tolerance
- DistributedMessageQueue: Message queue system with pub/sub patterns and guaranteed delivery
- GoogleMaps: Location-based services with geospatial indexing and routing algorithms
- GoogleDriveSystem: Distributed file storage with chunking, deduplication, and sync capabilities
- S3-LikeObjectStorage: Object storage service with multi-part uploads and versioning
- MetricsMonitoringAndCollection: Time-series metrics collection and aggregation system
- Notification: Real-time notification delivery system with multiple channels
- HotelBooking: Microservices-based booking system with inventory management
- PaymentSystem: Secure payment processing with fraud detection
- StockExchange: High-frequency trading system with order matching engine
- DistributedEmailService: Email delivery service with queue management
- AdClickEvents: Click stream processing and analytics
- Digital-Wallet: Digital wallet with transaction management
- NearByFriends: Location-based social features
- NewsFeedService: Personalized news feed generation
- ProximityService: Geospatial proximity search service
- RateLimiter: Distributed rate limiting service
- RealTimeGamingBoard: Real-time leaderboard system
- SearchAutoComplete: Search suggestion service with trie data structures
- WebCrawler: Distributed web crawling system
- Docker and Docker Compose
- Node.js and npm (v14+)
- Python 3.8+
- PostgreSQL client (optional)
- Redis (for caching layers)
- Kubernetes (for k8s deployments)
./start-services.shEach system can be run independently. Navigate to the specific directory and follow the README instructions.
Most systems include docker-compose configurations:
cd [system-directory]
docker-compose up -dFor systems with k8s support:
cd IntelliKV-DB/local-k8s
./build-and-deploy.sh- Consistent Hashing: Used in IntelliKV-DB for data distribution
- Replication & Fault Tolerance: Multi-node replication with automatic failover
- Load Balancing: Multiple load balancing algorithms implemented
- Service Discovery: Dynamic service registration and discovery
- Circuit Breakers: Failure handling and graceful degradation
- Rate Limiting: Token bucket and sliding window implementations
- Caching Strategies: Multi-level caching with Redis and in-memory stores
- Sharding: Horizontal partitioning for scalability
- Event Sourcing: Event-driven architectures in multiple systems
- CQRS: Command Query Responsibility Segregation patterns
- Distributed Transactions: 2PC and Saga patterns
- Data Consistency: Eventual and strong consistency models
- Containerization: Docker containers for all services
- Orchestration: Kubernetes deployments with StatefulSets
- Service Mesh: Inter-service communication patterns
- Monitoring: Metrics collection and observability
- CI/CD: Automated testing and deployment scripts
- Infrastructure as Code: Declarative infrastructure definitions
- Python: Primary language for distributed systems (IntelliKV-DB, ML services)
- Go: High-performance services (GoogleMaps, ProximityService)
- Java: Enterprise systems (StockExchange, PaymentSystem)
- Node.js/TypeScript: Microservices and real-time systems
- React: Frontend applications
- PostgreSQL: Relational data storage
- Redis: Caching and session management
- MongoDB: Document storage for flexible schemas
- Cassandra: Wide-column store for time-series data
- ElasticSearch: Full-text search capabilities
- Docker: Containerization of all services
- Kubernetes: Container orchestration
- Apache Kafka: Event streaming platform
- RabbitMQ: Message queuing
- Nginx: Load balancing and reverse proxy
- Prometheus: Metrics collection
- Grafana: Metrics visualization
- Distributed key-value store with consistent hashing
- Multi-node replication with configurable replication factor
- Automatic failover and recovery
- Support for offline nodes and dynamic node addition
- Kubernetes StatefulSet deployment
- Geospatial indexing using QuadTree/R-Tree
- Route calculation with Dijkstra/A* algorithms
- Real-time traffic updates
- POI search and recommendations
- Map tile serving and caching
- Multi-part upload support
- Object versioning and lifecycle management
- Erasure coding for data durability
- CDN integration for content delivery
- S3-compatible API
- Pub/Sub and Point-to-Point messaging
- Message persistence and replay
- Dead letter queues
- Exactly-once delivery semantics
- Horizontal scaling with partitioning
- Order matching engine with sub-millisecond latency
- Support for multiple order types (Market, Limit, Stop)
- Real-time price feeds
- Risk management and circuit breakers
- Historical data storage and replay
DATA_FLOW_DIAGRAMS.md: Data flow architecture diagramsDEMO_FLOW_DIAGRAMS.md: Demo workflow visualizationsDEMO_GUIDE.md: Step-by-step demo instructions
Each system directory contains its own README with:
- Architecture overview
- Setup instructions
- API documentation
- Testing procedures
- Performance benchmarks
# Unit tests
cd [system-directory]
npm test # or pytest, go test, mvn test
# Integration tests
docker-compose -f docker-compose.test.yml up# Python projects
pip install -r requirements.txt
# Node.js projects
npm install
# Go projects
go mod download
# Java projects
mvn clean install- Fork the repository
- Create a feature branch
- Implement your changes with tests
- Submit a pull request
This project is for educational and demonstration purposes.
Status: ✅ Active Development
Last Updated: September 2025
Version: 2.0.0