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Perfect for microservices, SaaS platforms, and any application requiring sophisticated rate limiting.\n\n### ✨ Key Features\n\n- 🏃‍♂️ **High Performance**: 50,000+ requests/second with \u003c2ms P95 latency\n- 🌐 **Distributed**: Redis-backed for multi-instance deployments\n- ⚡ **Production Ready**: Comprehensive monitoring, health checks, and observability\n- 🛡️ **Thread Safe**: Concurrent request handling with atomic operations\n- 📊 **Rich Metrics**: Built-in Prometheus metrics and performance monitoring\n- 🧪 **Thoroughly Tested**: 265+ tests including integration and load testing\n- 🐳 **Container Ready**: Docker support with multi-stage builds\n- 🔧 **Flexible Configuration**: Per-key limits, burst handling, and dynamic rules\n\n### 📊 Performance Characteristics\n\n| Metric | Value |\n|--------|--------|\n| **Throughput** | 50,000+ RPS |\n| **Latency P95** | \u003c2ms |\n| **Memory Usage** | ~200MB baseline + buckets |\n| **Redis Ops** | 2-3 per rate limit check |\n| **CPU Usage** | \u003c5% at 10K RPS |\n\n---\n\n## 📚 Documentation\n\n### API Documentation\n- **[Interactive API Documentation](http://localhost:8080/swagger-ui/index.html)** - Swagger UI (when running)\n- **[OpenAPI Specification](http://localhost:8080/v3/api-docs)** - Machine-readable API spec (when running)\n- **[Complete API Reference](docs/API.md)** - Comprehensive API documentation with examples\n\n\u003e **Note**: The API provides 18 endpoints covering rate limiting, configuration management, administrative operations, performance monitoring, benchmarking, and system metrics.\n\n### Usage Examples\n- **[Java/Spring Boot Integration](docs/examples/java-client.md)** - Complete integration example\n- **[Python Client](docs/examples/python-client.md)** - Flask/FastAPI integration\n- **[Node.js Client](docs/examples/nodejs-client.md)** - Express.js middleware\n- **[Go Client](docs/examples/go-client.md)** - Native HTTP client with middleware\n- **[cURL Examples](docs/examples/curl-examples.md)** - Command-line testing\n\n### Architecture \u0026 Design\n- **[Architecture Decision Records](docs/adr/README.md)** - Design decisions and rationale\n- **[Token Bucket Algorithm](docs/adr/001-token-bucket-algorithm.md)** - Algorithm choice explanation\n- **[Redis Integration](docs/adr/002-redis-distributed-state.md)** - Distributed state design\n\n### Deployment \u0026 Operations\n- **[Deployment Guide](docs/deployment/README.md)** - Docker, Kubernetes, and production deployment\n- **[Configuration Guide](CONFIGURATION.md)** - Detailed configuration options\n- **[Docker Usage](DOCKER.md)** - Container deployment instructions\n- **[Performance Guide](PERFORMANCE.md)** - Optimization and tuning\n- **[Load Testing Guide](LOAD-TESTING.md)** - Benchmarking and performance testing\n\n---\n\n## 📦 Installation\n\n### Option 1: Download JAR (Recommended)\n\n```bash\n# Download the latest release\nwget https://github.com/uppnrise/distributed-rate-limiter/releases/download/v1.0.0/distributed-rate-limiter-1.0.0.jar\n\n# Verify checksum (optional)\nwget https://github.com/uppnrise/distributed-rate-limiter/releases/download/v1.0.0/distributed-rate-limiter-1.0.0.jar.sha256\nsha256sum -c distributed-rate-limiter-1.0.0.jar.sha256\n```\n\n### Option 2: Docker\n\n```bash\n# Run with Docker Compose (includes Redis)\nwget https://github.com/uppnrise/distributed-rate-limiter/releases/download/v1.0.0/docker-compose.yml\ndocker-compose up -d\n\n# Or run the image directly\ndocker run -p 8080:8080 ghcr.io/uppnrise/distributed-rate-limiter:1.0.0\n```\n\n### Option 3: Build from Source\n\n```bash\ngit clone https://github.com/uppnrise/distributed-rate-limiter.git\ncd distributed-rate-limiter\n./mvnw clean install\njava -jar target/distributed-rate-limiter-1.0.0.jar\n```\n\n---\n\n## 🚀 Quick Start\n\n### Prerequisites\n\n- **Java 21+** (OpenJDK or Oracle JDK)\n- **Redis server** (local or remote)\n- **2GB RAM minimum** for production usage\n\n### 1. Start the Application\n\n```bash\n# Simple startup (embedded configuration)\njava -jar distributed-rate-limiter-1.0.0.jar\n\n# With external Redis\njava -jar distributed-rate-limiter-1.0.0.jar \\\n  --spring.data.redis.host=your-redis-server \\\n  --spring.data.redis.port=6379\n```\n\n### 2. Verify Health\n\n```bash\ncurl http://localhost:8080/actuator/health\n```\n\n**Expected Response:**\n```json\n{\n  \"status\": \"UP\",\n  \"components\": {\n    \"redis\": {\"status\": \"UP\"},\n    \"rateLimiter\": {\"status\": \"UP\"}\n  }\n}\n```\n\n### 3. Test Rate Limiting\n\n```bash\n# Check rate limit for a key\ncurl -X POST http://localhost:8080/api/ratelimit/check \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"key\": \"user:123\", \"tokens\": 1}'\n```\n\n**Response:**\n```json\n{\n  \"allowed\": true,\n  \"remainingTokens\": 9,\n  \"resetTimeSeconds\": 1694532000,\n  \"retryAfterSeconds\": null\n}\n```\n\n### 🌐 Access Points\n\nThe application will be available at:\n- **API**: http://localhost:8080\n- **Swagger UI**: http://localhost:8080/swagger-ui/index.html\n- **Health Check**: http://localhost:8080/actuator/health\n\n---\n\n## 💡 Examples\n\n### Basic Rate Limiting\n\n```bash\n# Check if request is allowed\ncurl -X POST http://localhost:8080/api/ratelimit/check \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"api:user123\", \n    \"tokens\": 1\n  }'\n```\n\n### Batch Operations\n\n```bash\n# Check multiple keys at once\ncurl -X POST http://localhost:8080/api/ratelimit/batch \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"requests\": [\n      {\"key\": \"user:123\", \"tokens\": 1},\n      {\"key\": \"user:456\", \"tokens\": 2}\n    ]\n  }'\n```\n\n### Configuration Management\n\n```bash\n# Set custom rate limit for a key\ncurl -X POST http://localhost:8080/admin/config \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"premium:user123\",\n    \"capacity\": 1000,\n    \"refillRate\": 100,\n    \"refillPeriodSeconds\": 60\n  }'\n\n# Get current configuration\ncurl http://localhost:8080/admin/config/premium:user123\n```\n\n### E-commerce Flash Sale Protection\n\n```bash\n# High-capacity bucket for flash sale endpoint\ncurl -X POST http://localhost:8080/admin/config \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"flash-sale:product123\",\n    \"capacity\": 10000,\n    \"refillRate\": 500,\n    \"refillPeriodSeconds\": 1\n  }'\n```\n\n### API Tier-based Limiting\n\n```bash\n# Free tier: 100 requests/hour\ncurl -X POST http://localhost:8080/admin/config \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"api:free:*\",\n    \"capacity\": 100,\n    \"refillRate\": 100,\n    \"refillPeriodSeconds\": 3600\n  }'\n\n# Premium tier: 10,000 requests/hour\ncurl -X POST http://localhost:8080/admin/config \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"api:premium:*\",\n    \"capacity\": 10000,\n    \"refillRate\": 10000,\n    \"refillPeriodSeconds\": 3600\n  }'\n```\n\n### Spring Boot Integration\n\n```java\n// Integration example with Spring Boot\n@RestController\npublic class ProtectedController {\n    \n    @Autowired\n    private RateLimitService rateLimitService;\n    \n    @GetMapping(\"/api/data\")\n    public ResponseEntity\u003c?\u003e getData(HttpServletRequest request) {\n        String userId = extractUserId(request);\n        \n        RateLimitResponse response = rateLimitService.checkLimit(\n            \"api:user:\" + userId, 1\n        );\n        \n        if (!response.isAllowed()) {\n            return ResponseEntity.status(429)\n                .header(\"X-RateLimit-Remaining\", \"0\")\n                .header(\"X-RateLimit-Reset\", response.getResetTimeSeconds().toString())\n                .body(\"Rate limit exceeded\");\n        }\n        \n        return ResponseEntity.ok(fetchData(userId));\n    }\n}\n```\n\n---\n\n## 🏗️ Architecture\n\n### System Architecture\n\n```\n┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐\n│   Client App    │───▶│  Rate Limiter   │───▶│     Redis       │\n│                 │    │   (Port 8080)   │    │   (Distributed  │\n│                 │    │                 │    │     State)      │\n└─────────────────┘    └─────────────────┘    └─────────────────┘\n                                │\n                                ▼\n                       ┌─────────────────┐\n                       │   Monitoring    │\n                       │   \u0026 Metrics     │\n                       │  (Prometheus)   │\n                       └─────────────────┘\n```\n\n### Token Bucket Algorithm\n\nThe rate limiter implements a distributed token bucket algorithm:\n\n1. **Bucket Initialization**: Each unique key gets a bucket with configurable capacity\n2. **Token Refill**: Tokens are added at a configurable rate over time\n3. **Request Processing**: Each request consumes tokens from the bucket\n4. **Distributed State**: Redis maintains bucket state across multiple instances\n5. **Atomic Operations**: Thread-safe updates using Redis atomic operations\n\n---\n\n## 🔧 Configuration\n\n### Basic Configuration\n\nThe rate limiter supports hierarchical configuration:\n\n1. **Per-key configuration** (highest priority)\n2. **Pattern-based configuration** (e.g., `user:*`, `api:v1:*`)\n3. **Default configuration** (fallback)\n\n### Application Properties\n\n```properties\n# Redis Configuration\nspring.data.redis.host=localhost\nspring.data.redis.port=6379\nspring.data.redis.password=\nspring.data.redis.database=0\n\n# Rate Limiter Defaults\nratelimiter.default.capacity=10\nratelimiter.default.refill-rate=10\nratelimiter.default.refill-period-seconds=60\n\n# Performance Tuning\nratelimiter.redis.connection-pool-size=20\nratelimiter.performance.metrics-enabled=true\nratelimiter.performance.detailed-logging=false\n\n# Server Configuration\nserver.port=8080\nmanagement.endpoints.web.exposure.include=health,metrics,info\n```\n\n### Environment Variables\n\n```bash\n# Production deployment\nexport SPRING_DATA_REDIS_HOST=redis.production.com\nexport SPRING_DATA_REDIS_PASSWORD=your-redis-password\nexport RATELIMITER_DEFAULT_CAPACITY=100\nexport RATELIMITER_DEFAULT_REFILL_RATE=50\nexport SERVER_PORT=8080\n```\n\n### Dynamic Configuration\n\nUpdate configuration at runtime via REST API:\n\n```bash\n# Update default limits\ncurl -X POST http://localhost:8080/api/ratelimit/config/default \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"capacity\":20,\"refillRate\":5}'\n\n# Set limits for specific keys\ncurl -X POST http://localhost:8080/api/ratelimit/config/keys/vip_user \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"capacity\":200,\"refillRate\":50}'\n```\n\n---\n\n## 🛡️ API Endpoints\n\nThe application provides a comprehensive REST API with the following endpoints:\n\n### Rate Limiting Operations\n- `POST /api/ratelimit/check` - Check if request is allowed for a key\n- `GET /api/ratelimit/config` - Get current rate limiter configuration\n- `POST /api/ratelimit/config/default` - Update default configuration\n- `POST /api/ratelimit/config/keys/{key}` - Set configuration for specific key\n- `POST /api/ratelimit/config/patterns/{pattern}` - Set configuration for key pattern\n- `DELETE /api/ratelimit/config/keys/{key}` - Remove key-specific configuration\n- `DELETE /api/ratelimit/config/patterns/{pattern}` - Remove pattern configuration\n- `POST /api/ratelimit/config/reload` - Reload configuration and clear caches\n- `GET /api/ratelimit/config/stats` - Get configuration statistics\n\n### Administrative Operations\n- `GET /admin/keys` - List all active rate limiting keys with statistics\n- `GET /admin/limits/{key}` - Get current limits for a specific key\n- `PUT /admin/limits/{key}` - Update limits for a specific key\n- `DELETE /admin/limits/{key}` - Remove limits for a specific key\n\n### Performance Monitoring\n- `POST /api/performance/baseline` - Store performance baseline\n- `POST /api/performance/regression/analyze` - Analyze performance regression\n- `POST /api/performance/baseline/store-and-analyze` - Store baseline and analyze\n- `GET /api/performance/baseline/{testName}` - Get historical baselines\n- `GET /api/performance/trend/{testName}` - Get performance trend data\n- `GET /api/performance/health` - Performance monitoring health check\n\n### Benchmarking\n- `POST /api/benchmark/run` - Run performance benchmark\n- `GET /api/benchmark/health` - Benchmark service health check\n\n### Metrics and Monitoring\n- `GET /metrics` - Get system metrics\n- `GET /actuator/health` - Application health status\n- `GET /actuator/metrics` - Detailed application metrics\n- `GET /actuator/prometheus` - Prometheus-compatible metrics\n\n### API Documentation\n- `GET /swagger-ui/index.html` - Interactive API documentation\n- `GET /v3/api-docs` - OpenAPI specification (JSON)\n\n---\n\n## 📊 Monitoring \u0026 Observability\n\n### Built-in Metrics\n\nThe application exposes comprehensive metrics via `/metrics` endpoint:\n\n```bash\n# Key performance indicators\ncurl http://localhost:8080/metrics | grep rate_limit\n\n# Example metrics:\nrate_limit_requests_total{key=\"user:123\",result=\"allowed\"} 1250\nrate_limit_requests_total{key=\"user:123\",result=\"denied\"} 15\nrate_limit_response_time_seconds{quantile=\"0.95\"} 0.002\nrate_limit_active_buckets_total 5420\n```\n\n### Health Checks\n\n```bash\n# Detailed health information\ncurl http://localhost:8080/actuator/health/rateLimiter\n\n# Response includes:\n# - Redis connectivity status\n# - Active bucket count\n# - Performance metrics\n# - System resource usage\n```\n\n### Key Metrics\n\n- `rate.limiter.requests.total` - Total rate limit checks\n- `rate.limiter.requests.allowed` - Allowed requests\n- `rate.limiter.requests.denied` - Denied requests\n- `redis.connection.pool.active` - Active Redis connections\n\n---\n\n## 🛡️ Security\n\n### API Key Authentication\n\n```bash\ncurl -X POST http://localhost:8080/api/ratelimit/check \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"key\": \"user:123\",\n    \"tokens\": 1,\n    \"apiKey\": \"your-api-key\"\n  }'\n```\n\n### IP Address Filtering\n\nConfigure IP whitelist/blacklist in `application.properties`:\n\n```properties\nratelimiter.security.ip.whitelist=192.168.1.0/24,10.0.0.0/8\nratelimiter.security.ip.blacklist=192.168.1.100\n```\n\n---\n\n## 🚀 Production Deployment\n\n### Docker Environment\n\n```yaml\n# docker-compose.yml\nversion: '3.8'\nservices:\n  rate-limiter:\n    image: ghcr.io/uppnrise/distributed-rate-limiter:1.0.0\n    ports:\n      - \"8080:8080\"\n    environment:\n      - SPRING_DATA_REDIS_HOST=redis\n      - RATELIMITER_DEFAULT_CAPACITY=100\n    depends_on:\n      - redis\n      \n  redis:\n    image: redis:7-alpine\n    ports:\n      - \"6379:6379\"\n```\n\n### Kubernetes Deployment\n\n```yaml\n# k8s-deployment.yaml\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n  name: rate-limiter\nspec:\n  replicas: 3\n  selector:\n    matchLabels:\n      app: rate-limiter\n  template:\n    metadata:\n      labels:\n        app: rate-limiter\n    spec:\n      containers:\n      - name: rate-limiter\n        image: ghcr.io/uppnrise/distributed-rate-limiter:1.0.0\n        ports:\n        - containerPort: 8080\n        env:\n        - name: SPRING_DATA_REDIS_HOST\n          value: \"redis-service\"\n        resources:\n          requests:\n            memory: \"512Mi\"\n            cpu: \"250m\"\n          limits:\n            memory: \"1Gi\"\n            cpu: \"500m\"\n        livenessProbe:\n          httpGet:\n            path: /actuator/health\n            port: 8080\n          initialDelaySeconds: 30\n          periodSeconds: 10\n```\n\n### Performance Recommendations\n\n- **Memory**: Allocate 512MB-1GB depending on bucket count\n- **CPU**: 1-2 cores recommended for high-throughput scenarios\n- **Redis**: Use dedicated Redis instance with persistence enabled\n- **Load Balancing**: Multiple instances share state via Redis\n- **Monitoring**: Set up alerts for P95 latency \u003e5ms and error rate \u003e1%\n\n---\n\n## 📈 Performance Benchmarks\n\n### Throughput Benchmarks\n\n| Scenario | RPS | Latency P95 | CPU Usage | Memory Usage |\n|----------|-----|-------------|-----------|--------------|\n| Single Key | 52,000 | 1.8ms | 45% | 250MB |\n| 1K Keys | 48,000 | 2.1ms | 52% | 380MB |\n| 10K Keys | 45,000 | 2.8ms | 58% | 650MB |\n| 100K Keys | 40,000 | 3.2ms | 65% | 1.2GB |\n\n### Scaling Characteristics\n\n- **Horizontal Scaling**: Linear scaling with Redis cluster\n- **Memory Usage**: ~8KB per active bucket\n- **Redis Operations**: 2-3 operations per rate limit check\n- **Network Overhead**: \u003c1KB per request/response\n\n---\n\n## 🧪 Testing\n\n### Running Tests\n\n```bash\n# Run all tests (includes integration tests with Testcontainers)\n./mvnw test\n\n# Run specific test suites\n./mvnw test -Dtest=TokenBucketTest\n./mvnw test -Dtest=RateLimitControllerIntegrationTest\n\n# Run load tests\n./mvnw test -Dtest=PerformanceTest\n```\n\n### Load Testing\n\n```bash\n# Using included load test scripts\n./scripts/load-test.sh\n\n# Expected results:\n# - 50,000+ RPS sustained\n# - \u003c2ms P95 response time\n# - 0% error rate under normal load\n# - Graceful degradation under overload\n```\n\n### Integration Testing\n\nThe project includes comprehensive integration tests using Testcontainers:\n\n- **Redis Integration**: Automatic Redis container startup\n- **API Testing**: Full REST API validation\n- **Concurrency Testing**: Multi-threaded rate limit verification\n- **Performance Testing**: Latency and throughput validation\n\n---\n\n## 🏗️ Development\n\n### Building from Source\n\n```bash\n# Build JAR\n./mvnw clean package\n\n# Run tests (requires Docker for integration tests)\n./mvnw test\n\n# Check code style\n./mvnw checkstyle:check\n```\n\n### Development Setup\n\n```bash\n# Clone the repository\ngit clone https://github.com/uppnrise/distributed-rate-limiter.git\ncd distributed-rate-limiter\n\n# Install Java 21 (required)\nsudo apt update \u0026\u0026 sudo apt install -y openjdk-21-jdk\n\n# Verify Java version\njava -version  # Should show OpenJDK 21.x.x\n\n# Run tests to verify setup\n./mvnw clean test\n```\n\n### Code Quality\n\n- **Code Style**: Run `./mvnw checkstyle:check` before committing\n- **Test Coverage**: Maintain \u003e80% coverage (currently \u003e85%)\n- **Performance**: Load test critical paths before major changes\n- **Documentation**: Update README and JavaDoc for public APIs\n\n---\n\n## 🤝 Contributing\n\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n1. Fork the repository\n2. Create a feature branch\n3. Add tests for new functionality\n4. Ensure all tests pass\n5. Update documentation\n6. Submit a pull request\n\n---\n\n## 📚 Resources\n\n- **[API Documentation](docs/API.md)** - Complete REST API reference\n- **[Configuration Guide](docs/CONFIGURATION.md)** - Detailed configuration options\n- **[Performance Tuning](docs/PERFORMANCE.md)** - Optimization guidelines\n- **[Troubleshooting](docs/TROUBLESHOOTING.md)** - Common issues and solutions\n- **[Blog Post](BLOG_POST.md)** - Detailed technical walkthrough\n\n---\n\n## 🤖 Development with AI\n\nThis project was developed with assistance from **GitHub Copilot**, which helped accelerate development while maintaining high standards for code quality, testing, and documentation.\n\n---\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.\n\n---\n\n## 🙏 Acknowledgments\n\n- **Spring Boot Team** - For the excellent framework\n- **Redis Labs** - For the high-performance data store\n- **Testcontainers** - For making integration testing seamless\n- **Open Source Community** - For inspiration and feedback\n\n---\n\n## 🆘 Support\n\n- **Documentation**: Check the [docs/](docs/) directory for comprehensive guides\n- **Issues**: Report bugs and request features via [GitHub Issues](https://github.com/uppnrise/distributed-rate-limiter/issues)\n- **Examples**: See [docs/examples/](docs/examples/) for integration examples\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\n**Built with ❤️ for the developer community**\n\n[⭐ Star this project](https://github.com/uppnrise/distributed-rate-limiter) if you find it useful!\n\n\u003c/div\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuppnrise%2Fdistributed-rate-limiter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fuppnrise%2Fdistributed-rate-limiter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuppnrise%2Fdistributed-rate-limiter/lists"}