Part 8.6 — When (and When Not) to Use GraphQL in Real Systems
GraphQL is powerful—but expensive. This post helps you decide, based on real constraints, whether GraphQL is worth adopting or whether REST will serve you better.
Server-side programming, APIs, authentication, and database management for scalable apps.
GraphQL is powerful—but expensive. This post helps you decide, based on real constraints, whether GraphQL is worth adopting or whether REST will serve you better.
If you squint a little, a NestJS controller method already is a resolver. This post shows how to embrace that idea without introducing GraphQL complexity.
Over-fetching is a client problem as much as a server problem. This post shows how React apps can drive data needs intentionally—without turning REST APIs into guesswork.
You don’t need GraphQL to give clients control. This post shows how to design REST APIs that feel flexible, intentional, and predictable—without sacrificing debuggability or caching.
You don’t need GraphQL to benefit from GraphQL thinking. This post explains schemas, types, and resolvers—and how they map directly to clean REST architecture.
GraphQL didn’t appear because REST failed. It appeared because many REST APIs were designed without client needs in mind.
Writing tests is easy. Maintaining hundreds of them is hard. This post shows how to structure your NestJS backend tests so they scale without pain.
Authentication logic is critical—and fragile if untested. In this post, you’ll learn how to test JWT auth guards and protected REST routes with confidence.
Integration tests verify the entire request pipeline—controllers, DTOs, pipes, filters, interceptors, and database behavior. This post shows how to test your REST API like a professional.
In this post, you’ll learn how to isolate and test NestJS services, validate DTOs programmatically, and verify custom pipes with clear testing strategies.
Before you write your first test, you need a stable foundation: Jest configuration, test modules, a sandboxed PostgreSQL database, and a clean Prisma workflow for reproducible tests.
Production backends thrive on predictable errors, structured validation, and consistent responses. In this post, you’ll learn how to build those foundations using NestJS pipes, filters, and interceptors.
Results