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πŸš€ 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

πŸ”— Live Demo | πŸ“š 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

πŸŽ›οΈ Multiple Rollout Strategies

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

πŸ—οΈ Clean Architecture

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

πŸš€ 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

πŸ›οΈ Architecture Overview

System Context Diagram

System Context Diagram

Dependeency Graph


πŸš€ Quick Start

Prerequisites

  • β˜• Java 17+
  • πŸ”¨ Maven 3.8+
  • 🐳 Docker & Docker Compose
  • 🎯 Make (optional, for convenience commands)

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

🎯 Access Points


πŸŽ›οΈ 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
  }
}

βœ… 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"]
  }
}

βœ… 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]
    }
  }
}

βœ… Sophisticated targeting for complex rollouts


πŸ§ͺ Testing Strategy

πŸ—οΈ Architecture Tests

Enforce Clean Architecture rules with ArchUnit:

make test-architecture

Verified Rules:

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

⚑ Performance Tests

Sub-10ms flag evaluation performance:

make test-performance

Benchmarks:

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

πŸ”„ Integration Tests

End-to-end testing with Testcontainers:

make test-integration

Coverage:

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

πŸ“Š Test Coverage

make coverage

Current Metrics:

  • πŸ“ˆ Line Coverage: 95%+
  • πŸ“ˆ Branch Coverage: 92%+
  • πŸ“ˆ 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

πŸ“Š 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:

  • πŸ“Š JVM memory and CPU usage
  • πŸ“Š HTTP request metrics
  • πŸ“Š Database connection pools
  • πŸ“Š Redis cache hit/miss ratios
  • πŸ“Š 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

βš™οΈ 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

πŸ”§ Development (dev)

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

πŸ§ͺ Test (test)

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

πŸš€ Production (prod)

  • PostgreSQL database
  • Optimized logging
  • Performance monitoring enabled

πŸ› οΈ 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

πŸ—οΈ Project Structure

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

🎯 Key Design Decisions

πŸ›οΈ Clean Architecture Benefits

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

πŸ”„ Hexagonal Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚            INPUT ADAPTERS               β”‚
β”‚         (REST Controllers)              β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                  β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚         APPLICATION SERVICES            β”‚
β”‚        (Use Cases & Ports)              β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                  β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚            DOMAIN CORE                  β”‚
β”‚    (Entities, Strategies, Events)       β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–²β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                  β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚           OUTPUT ADAPTERS               β”‚
β”‚     (Database, Cache, Events)           β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ“Š Performance Optimizations

βœ… Consistent Hashing: Users get same flag result across evaluations
βœ… Redis Caching: Sub-10ms evaluation times with 5-minute TTL
βœ… Database Indexing: Optimized queries for flag lookups
βœ… 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

πŸ“„ License

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


πŸ™ 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

πŸ“Š 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

πŸ”§ 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

πŸŽ“ 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 | πŸ’Ό Connect on LinkedIn

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