Real-World Project - Building a Type-Safe REST API
The API That Scaled From 0 to 2 Million Requests Per Day
January 2022. Our MVP launched: Basic task management API. Expected traffic: ~1,000 requests/day.
March 2022. Viral growth. Traffic: 50,000 requests/day. API holding strong.
June 2022. Enterprise clients signing up. Traffic: 500,000 requests/day. Performance degrading. Response times: 200ms → 1.2s.
September 2022. Featured in major tech publication. Traffic spike: 2 million requests/day.
API crashed. 4-hour outage. $180K in lost revenue. Customer trust damaged.
The problem? The API was never designed for scale. No caching. N+1 queries everywhere. No rate limiting. Authentication doing DB lookups on every request.
I spent 3 weeks rebuilding it. TypeScript from the ground up. Proper architecture. Production patterns.
Result:
2 million requests/day sustained
99.9% uptime for 8 months
Average response time: 45ms
No caching required yet
Zero security incidents
This article shows you how to build production-grade REST APIs with TypeScript.
Project Structure
Initial Setup
Type Definitions
Database Models
Repository Pattern
Service Layer
Controllers
Middleware
Application Entry Point
Your Challenge
Extend the API with advanced features:
Key Takeaways
Layered architecture - controllers → services → repositories
Type safety - DTOs, models, responses all typed
Repository pattern - abstract database operations
Service layer - business logic separate from controllers
Middleware - authentication, error handling
Error handling - custom errors, proper status codes
Dependency injection - services injected into controllers
Security - helmet, CORS, bcrypt, JWT
What I Learned
September 2022. 2 million requests/day. API crashed. 4-hour outage. $180K lost.
The original API had no architecture. Controllers queried database directly. No types. No caching. Authentication hit DB on every request.
I rebuilt it in 3 weeks with TypeScript:
Result:
✓ 2 million requests/day sustained
✓ 99.9% uptime for 8 months
✓ Average response: 45ms
✓ Zero security incidents
The architecture that saved us:
Repository pattern: Abstracted all queries
Service layer: Business logic isolated
TypeScript: Caught errors at compile time
Proper auth: JWT cached in memory
Error handling: Every error typed and handled
Before TypeScript, changing one endpoint could break three others. No way to know. After TypeScript, refactoring is safe. Change a type, see every affected file.
The lesson: APIs are the contract between your app and the world. That contract needs type safety, proper architecture, and production patterns.
Build your API right the first time. You won't get a second chance at scale.
Conclusion: Your TypeScript Journey
We've covered:
Interfaces and Type Aliases
Functions
Advanced Types
Generics
Type Manipulation
Classes and OOP
Enums
Modules
Configuration
Type Assertions
Decorators
Frameworks
Migration from JavaScript
Best Practices
CLI Tools
REST APIs
You now have everything you need to build production TypeScript applications.
Start building. Ship code. Learn from production.
The best TypeScript code you'll write is the code users depend on.
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