A distributed rate limiter designed to control request throughput across multiple services in high-traffic environments.
This project demonstrates core backend and system design concepts used in scalable, production-grade systems.
In distributed systems, rate limiting must work consistently across multiple application instances.
This implementation uses a centralized store to track request counts and enforce limits reliably, even under concurrent access.
The design focuses on:
- Consistent rate limiting across distributed services
- High performance under concurrent load
- Clean, maintainable TypeScript architecture
- Distributed request counting
- Configurable rate limits
- Atomic operations to prevent race conditions
- Centralized state management
- Detailed logging for observability
- TypeScript
- Node.js
- Centralized store (e.g., Redis-compatible design)
- API gateways
- Microservices architectures
- High-traffic backend systems
- Abuse prevention and traffic control
This project is built to demonstrate real-world backend engineering patterns such as concurrency control, distributed coordination, and scalable system design.