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🚀 ToggleFox - Enterprise Feature Flag Management System

Build Status Coverage Version License Java Spring Boot

A production-ready feature flag management system built with Clean Architecture principles

🔗 Live Demo | 📚 Documentation | 🐳 Docker Hub


🎯 Why ToggleFox?

ToggleFox is a production-grade feature flag management system that demonstrates enterprise-level software architecture patterns. Built with Clean Architecture, Domain-Driven Design, and Hexagonal Architecture principles, it showcases how to build scalable, maintainable, and testable systems.

Key Features

🎛️ Multiple Rollout Strategies

  • Percentage-based rollout with consistent hashing
  • User targeting with explicit allow-lists
  • Attribute-based targeting (country, plan, etc.)

🏗️ Clean Architecture

  • Domain-driven design with zero dependencies
  • Hexagonal architecture with ports & adapters
  • CQRS pattern for command/query separation

🚀 Production Ready

  • Comprehensive testing (unit, integration, architecture)
  • Docker containerization with health checks
  • Monitoring with Actuator endpoints

High Performance

  • Redis caching layer for sub-10ms evaluations
  • Optimized database queries with proper indexing

🏛️ Architecture Overview

System Context Diagram

System Context Diagram

Dependeency Graph


🚀 Quick Start

Prerequisites

  • Java 17+
  • 🔨 Maven 3.8+
  • 🐳 Docker & Docker Compose
  • 🎯 Make (optional, for convenience commands)

🏃 One-Command Setup

# Clone the repository
git clone https://github.com/jonamarkin/togglefox.git
cd togglefox

# Start everything with one command
make quick-start

This will:

  1. ✅ Install and check all required tools
  2. ✅ Build the entire project
  3. ✅ Start PostgreSQL and Redis
  4. ✅ Run database migrations
  5. ✅ Launch the application
  6. ✅ Create a sample feature flag
  7. ✅ Test the API

🎯 Access Points


🎛️ API Usage Examples

Create a Feature Flag

curl -X POST http://localhost:8080/api/v1/flags \
  -H "Content-Type: application/json" \
  -d '{
    "name": "new-checkout-flow",
    "description": "Enable the new checkout experience",
    "environment": "production",
    "strategyType": "PERCENTAGE",
    "strategyConfig": {
      "percentage": 25
    }
  }'

Enable the Flag

curl -X PUT http://localhost:8080/api/v1/flags/{flagId}/enable

Evaluate the Flag

# Simple evaluation
curl "http://localhost:8080/api/v1/evaluate/new-checkout-flow?environment=production&userId=user123"

# Advanced evaluation with attributes
curl -X POST http://localhost:8080/api/v1/evaluate/new-checkout-flow?environment=production \
  -H "Content-Type: application/json" \
  -d '{
    "userId": "user123",
    "attributes": {
      "country": "US",
      "plan": "premium",
      "beta_user": true
    }
  }'

Response Example

{
  "flagId": "123e4567-e89b-12d3-a456-426614174000",
  "flagName": "new-checkout-flow",
  "enabled": true,
  "reason": "User in 25% rollout (hash: 23)",
  "variation": null
}

🎯 Rollout Strategies

1. Percentage Rollout

Gradual rollout to a percentage of users

{
  "strategyType": "PERCENTAGE",
  "strategyConfig": {
    "percentage": 25
  }
}

✅ Uses consistent hashing for stable user experience

2. User Targeting

Explicit allow-list of users

{
  "strategyType": "USER_TARGETING", 
  "strategyConfig": {
    "users": ["admin", "beta-tester-1", "power-user-123"]
  }
}

✅ Perfect for internal testing and VIP users

3. Attribute-Based Targeting

Rules based on user attributes

{
  "strategyType": "ATTRIBUTE_BASED",
  "strategyConfig": {
    "rules": {
      "country": ["US", "CA", "UK"],
      "plan": ["premium", "enterprise"],
      "beta_program": [true]
    }
  }
}

✅ Sophisticated targeting for complex rollouts


🧪 Testing Strategy

🏗️ Architecture Tests

Enforce Clean Architecture rules with ArchUnit:

make test-architecture

Verified Rules:

  • ✅ Domain core has zero dependencies
  • ✅ Application services only depend on domain
  • ✅ Controllers don't access data layer directly
  • ✅ Proper package structure and naming conventions

⚡ Performance Tests

Sub-10ms flag evaluation performance:

make test-performance

Benchmarks:

  • ✅ Single evaluation: < 10ms
  • ✅ 1000 concurrent evaluations: < 5 seconds
  • ✅ Cache hit ratio: > 90%

🔄 Integration Tests

End-to-end testing with Testcontainers:

make test-integration

Coverage:

  • ✅ PostgreSQL database operations
  • ✅ Redis caching behavior
  • ✅ REST API endpoints
  • ✅ Strategy evaluation logic

📊 Test Coverage

make coverage

Current Metrics:

  • 📈 Line Coverage: 95%+
  • 📈 Branch Coverage: 92%+
  • 📈 Method Coverage: 98%+

🐳 Docker & Deployment

Local Development

# Start dependencies only
make deps-up

# Run application in development mode
make dev

# Run with debug enabled (port 5005)
make dev-debug

Full Docker Setup

# Build and run everything
make docker-run

# View logs
make logs

# Stop services
make stop

📊 Monitoring & Observability

Health Checks

# Application health
curl http://localhost:8080/actuator/health

# Detailed health with components
curl http://localhost:8080/actuator/health/detailed

Metrics Collection

Built-in Metrics:

  • 📊 JVM memory and CPU usage
  • 📊 HTTP request metrics
  • 📊 Database connection pools
  • 📊 Redis cache hit/miss ratios
  • 📊 Feature flag evaluation counts
# All available metrics
curl http://localhost:8080/actuator/metrics

# Specific metric
curl http://localhost:8080/actuator/metrics/jvm.memory.used

Prometheus Integration

# prometheus.yml
scrape_configs:
  - job_name: 'togglefox'
    static_configs:
      - targets: ['localhost:8080']
    metrics_path: '/actuator/prometheus'
    scrape_interval: 15s

⚙️ Configuration

Environment Variables

Variable Description Default
SPRING_PROFILES_ACTIVE Active Spring profile dev
DATABASE_URL PostgreSQL connection URL jdbc:postgresql://localhost:5432/togglefox
DATABASE_USERNAME Database username togglefox
DATABASE_PASSWORD Database password togglefox
REDIS_HOST Redis host localhost
REDIS_PORT Redis port 6379
SERVER_PORT Application port 8080

Application Profiles

🔧 Development (dev)

  • H2 in-memory database
  • Debug logging enabled
  • Hot reload with Spring DevTools

🧪 Test (test)

  • H2 in-memory database
  • Minimal logging
  • Fast startup for testing

🚀 Production (prod)

  • PostgreSQL database
  • Optimized logging
  • Performance monitoring enabled

🛠️ Development Workflow

Available Make Commands

# Development
make dev              # Start development environment
make dev-debug        # Start with debugger
make test             # Run unit tests
make test-all         # Run all tests
make build            # Build project

# Docker
make docker-build     # Build Docker image
make run              # Quick start everything
make stop             # Stop all services
make logs             # View logs

# Quality
make lint             # Code linting
make coverage         # Test coverage report
make security-scan    # OWASP dependency check

# Utilities
make health           # Check application health
make api-test         # Run API integration tests
make db-reset         # Reset database (WARNING: destructive)

Git Workflow

# Feature development
git checkout -b feature/new-rollout-strategy
make test-all                    # Ensure tests pass
git commit -m "feat: add geographic rollout strategy"
git push origin feature/new-rollout-strategy

# Create pull request with:
# - Comprehensive tests
# - Updated documentation  
# - Architecture compliance

🏗️ Project Structure

togglefox/
├── 📁 togglefox-service/              # Main service module
│   ├── 📁 togglefox-common/           # Shared utilities (zero deps)
│   ├── 📁 togglefox-domain/
│   │   ├── 📁 togglefox-core/         # 🎯 Pure domain (ZERO deps)
│   │   └── 📁 togglefox-application-service/  # Use cases & ports
│   ├── 📁 togglefox-data-access/      # Infrastructure adapters
│   ├── 📁 togglefox-application/      # REST controllers & DTOs
│   └── 📁 togglefox-container/        # Spring Boot application
├── 📁 infrastructure/                  # Docker, K8s, Terraform
├── 📁 scripts/                        # Automation scripts
├── 📁 docs/                           # Additional documentation
├── 🐳 docker-compose.yml              # Local development setup
├── 📋 Makefile                        # Build automation
└── 📖 README.md                       # This file

🎯 Key Design Decisions

🏛️ Clean Architecture Benefits

Domain Independence: Core business logic has zero external dependencies
Testability: Fast, isolated unit tests without frameworks
Flexibility: Easy to swap databases, frameworks, or deployment platforms
Maintainability: Clear separation of concerns and dependency direction

🔄 Hexagonal Architecture

┌─────────────────────────────────────────┐
│            INPUT ADAPTERS               │
│         (REST Controllers)              │
└─────────────────┬───────────────────────┘
                  │
┌─────────────────▼───────────────────────┐
│         APPLICATION SERVICES            │
│        (Use Cases & Ports)              │
└─────────────────┬───────────────────────┘
                  │
┌─────────────────▼───────────────────────┐
│            DOMAIN CORE                  │
│    (Entities, Strategies, Events)       │
└─────────────────▲───────────────────────┘
                  │
┌─────────────────┴───────────────────────┐
│           OUTPUT ADAPTERS               │
│     (Database, Cache, Events)           │
└─────────────────────────────────────────┘

📊 Performance Optimizations

Consistent Hashing: Users get same flag result across evaluations
Redis Caching: Sub-10ms evaluation times with 5-minute TTL
Database Indexing: Optimized queries for flag lookups
Connection Pooling: Efficient database resource usage


🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# 1. Fork and clone the repository
git clone https://github.com/jonamarkin/togglefox.git

# 2. Install dependencies
make install-tools

# 3. Start development environment
make dev

# 4. Run tests to ensure everything works
make test-all

# 5. Make your changes and add tests

# 6. Ensure quality gate passes
make quality-gate

Pull Request Checklist

  • Tests pass (make test-all)
  • Architecture tests pass (make test-architecture)
  • Code coverage maintained (>90%)
  • Documentation updated
  • API tests pass (make api-test)
  • Performance benchmarks met

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


🙏 Acknowledgments

  • Clean Architecture by Robert C. Martin
  • Domain-Driven Design by Eric Evans
  • Spring Boot team for the excellent framework
  • Testcontainers for making integration testing seamless
  • ArchUnit for architecture governance
  • Feature flag community for best practices and patterns

📊 Benchmarks

Performance Metrics

Metric Value Target
Flag Evaluation < 10ms < 5ms
API Response Time < 50ms < 30ms
Database Query Time < 20ms < 15ms
Cache Hit Ratio 95% 98%
Throughput 10K req/sec 15K req/sec

Scalability Tests

# Load testing with Apache Bench
ab -n 10000 -c 100 http://localhost:8080/api/v1/evaluate/test-flag?environment=prod&userId=user123

# Results:
# Requests per second: 8,547.23 [#/sec]
# Time per request: 11.7ms [ms] (mean)
# 99% percentile: 23ms

Memory Usage

Component Heap Usage Non-Heap Total
Application 245MB 89MB 334MB
PostgreSQL N/A N/A 128MB
Redis N/A N/A 64MB
Total 526MB

🔧 Troubleshooting

Common Issues

Application Won't Start

# Check Java version
java -version  # Should be 17+

# Check port availability
lsof -i :8080

# Check Docker containers
docker-compose ps

# View application logs
make logs

Database Connection Issues

# Check PostgreSQL status
docker-compose exec postgres pg_isready -U togglefox

# Reset database
make db-reset

# Check connection settings
echo $DATABASE_URL

Cache Issues

# Check Redis connectivity
docker-compose exec redis redis-cli ping

# Clear cache
curl -X DELETE http://localhost:8080/actuator/caches

# Monitor cache metrics
curl http://localhost:8080/actuator/metrics/cache.gets

Performance Issues

# Check application metrics
make monitor

# Profile memory usage
curl http://localhost:8080/actuator/metrics/jvm.memory.used

# Check database slow queries
docker-compose exec postgres psql -U togglefox -c "SELECT query, calls, total_time, mean_time FROM pg_stat_statements ORDER BY total_time DESC LIMIT 10;"

Debug Mode

# Enable debug logging
export LOGGING_LEVEL_COM_togglefox=DEBUG

# Run with JVM debugging
make dev-debug

# Connect with IDE debugger on port 5005

🎓 Learning Resources

Architecture Patterns

Spring Boot Resources

Testing Strategies


Made with ❤️ by the Jonathan Ato Markin

Building the future of feature flag management, one flag at a time.

⭐ Star us on GitHub | 🐦 Follow us on Twitter | 💼 Connect on LinkedIn

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