Feature Flags
Total control over feature deployment and account-level settings
Client
Telavox
Year
2024
Agency
TelavoxRole
FullstackBackend
Tech
Next.jsNode.jsPostgreSQLDrizzle ORMTypeScript




Project 5: Feature Flag Management System
A robust, full-stack feature flag management system built with modern web technologies, enabling teams to control feature rollouts and manage account-specific settings with precision and ease.
Technical Overview
Built with a cutting-edge tech stack:
- Frontend: Next.js 13+ with TypeScript and App Router
- Backend: Node.js with PostgreSQL
- ORM: Drizzle ORM for type-safe database operations
- UI: Tailwind CSS with shadcn/ui components
- State Management: React Hook Form for form handling
- Theme: Dark/Light mode with system preference detection
Key Features
-
Feature Flag Management
- Create and manage feature flags with version control
- Set minimum client version requirements
- Configure user update permissions
- Real-time status monitoring
-
Account-Level Controls
- Granular feature toggle management per account
- Customer-specific feature settings
- Bulk feature management capabilities
-
User Experience
- Responsive, accessible interface
- Dark/Light theme support
- Real-time updates
- Comprehensive error handling
- Loading states for optimal UX
Technical Highlights
-
Database Architecture
- Optimized schema design with proper relationships
- Connection pooling for enhanced performance
- Type-safe database operations
-
API Design
- RESTful endpoints for all CRUD operations
- Proper error handling and status codes
- Efficient data fetching patterns
-
Security & Performance
- Type-safe operations throughout the stack
- Optimized database queries
- Form validation and sanitization
- Protected API endpoints
This project demonstrates expertise in:
- Full-stack TypeScript development
- Modern React patterns and best practices
- Database design and optimization
- UI/UX design principles
- Production-grade error handling
- Performance optimization
- Theme system implementation
The system is designed to scale, making it suitable for both startups and enterprise-level applications requiring sophisticated feature flag management.


