A high-performance, flexible, and extensible feature flag system built with multiple programming paradigms to provide optimal functionality for modern applications.
The Feature Flag System allows developers to toggle features dynamically, enabling controlled rollouts, A/B testing, and conditional feature activation based on users, environments, and business rules.
This system leverages multiple programming paradigms:
- Role-Oriented Programming (ROP) for handling different feature flag behaviors
- Aspect-Oriented Programming (AOP) for cross-cutting concerns like logging and security
- Component-Based Development (CBD) for pluggable storage and evaluation
- Subject-Oriented Programming (SOP) for decoupling different concerns
- Data-Oriented Design (DOD) for performance optimization
- Object-Oriented Programming (OOP) for a clean, high-level API
- Dynamic Feature Flags: Enable/disable features at runtime
- User-Specific Flags: Control feature access based on user roles and attributes
- Percentage Rollouts: Gradually release features to a subset of users
- Time-Based Activation: Schedule features to activate during specific time windows
- Distributed Synchronization: Keep flags in sync across multiple application instances
- Performance Optimized: Fast evaluation of feature flags at scale
- Extensible Storage: Support for different storage backends (in-memory, distributed cache)
- Comprehensive Logging: Track feature flag usage and changes
- Feature Flag Manager: Static API entry point for feature flag operations
- Feature Flag Roles: Different types of flags with varying evaluation behavior
- Feature Flag Storage: Pluggable storage backends for flag values
- Feature Flag Notifier: Distributed notification of flag changes
- Feature Flag Logger: Logging of flag evaluation and changes
Different feature flag roles handle different use cases:
UserFeatureFlag
: Per-user flagsSystemFeatureFlag
: Global flags for all usersExperimentalFeatureFlag
: Percentage-based rollout flagsPermissionFeatureFlag
: Role-based access control flagsCompositeFeatureFlag
: Combines multiple flag roles
Crosscutting concerns are handled through decorators:
LoggingFeatureFlagDecorator
: Adds logging to flag operationsPerformanceFeatureFlagDecorator
: Monitors performance of flag operationsSecurityFeatureFlagDecorator
: Enforces security policies
Pluggable components for different implementations:
IFeatureFlagStorage
: Interface for flag storageInMemoryFlagStorage
: Local in-memory storageDistributedFeatureFlagStorage
: Distributed cache storage
Separation of concerns through interfaces:
IFeatureFlagService
: Core service interfaceIFeatureFlagLogger
: Logging interfaceIFeatureFlagNotifier
: Notification interface
Performance optimizations:
FastFeatureFlagStore
: Optimized hash-based lookups- Cache-friendly data structures
Clean API through:
- Inheritance hierarchies
- Encapsulation of implementation details
- Polymorphic interfaces
// Initialize the feature flag system
var storage = new InMemoryFlagStorage();
var logger = new ConsoleFeatureFlagLogger();
FeatureFlagManager.Initialize(storage, logger);
// Set a simple flag
FeatureFlagManager.SetEnabled("dark_mode", true);
// Check if a flag is enabled for a user
var user = new UserContext { Id = "user123", Roles = new List<string> { "User" } };
bool isDarkModeEnabled = FeatureFlagManager.IsEnabled("dark_mode", user);
// Create a complex feature flag with multiple conditions
var betaFeature = new CompositeFeatureFlag(
new ExperimentalFeatureFlag(20), // 20% rollout
new PermissionFeatureFlag("Premium"), // Only Premium users
new TimeBasedCondition(startTime, endTime) // Within time window
);
// Register the complex flag
FeatureFlagManager.RegisterFlagRole("new_feature", betaFeature);
// Initialize with distributed components
var cache = new InMemoryDistributedCache(); // Replace with Redis or other implementation
var pubSub = new InMemoryPubSubService(); // Replace with Redis or other implementation
DistributedFeatureFlagSetup.InitializeDistributed(cache, pubSub);
A console application demonstrating core functionality:
- Feature flag registration and evaluation
- Different user types and their access
- Percentage-based rollouts
Showcases more advanced scenarios:
- Aspect-oriented features (logging, performance, security)
- Distributed flag synchronization
- Complex feature flag conditions
Admin interface for managing feature flags:
- View and toggle feature flags
- Test with different user contexts
- Monitor feature flag activity
A realistic application showing feature flags from the user's perspective:
- Dynamic UI based on feature flags
- User-specific features and permissions
- Percentage rollouts and time-based features
- .NET Framework 4.5+ or .NET Core 2.0+
- C# 7.0 or higher
- Implement the
IFeatureFlagRole
interface - Implement the
Evaluate
method with your custom logic - Register your new flag type with the
FeatureFlagManager
- Implement the
IFeatureFlagStorage
interface - Implement the required methods for flag operations
- Initialize the system with your storage implementation
- Consistent Flag Naming: Use a consistent naming convention for flags
- Default Values: Always provide safe default values for flags
- Cleanup: Remove flags that are no longer needed
- Documentation: Document the purpose and behavior of each flag
- Testing: Test features with flags both enabled and disabled
- Security: Be careful with security-sensitive flags
- Performance: Monitor the performance impact of flag evaluation
- Database storage backends (SQL, MongoDB)
- Web-based admin interface
- Flag usage analytics and reporting
- A/B testing framework
- Client libraries for different languages
This project was created as a design exercise to demonstrate multi-paradigm programming approaches to feature flags.
Inspired by industry-standard feature flag systems and the benefits of multi-paradigm software design.