With the highly accelerated pace of development in modern times, it becomes highly important to have server-side applications scalable, maintainable, and efficient. NestJS comes out as a progressive framework for Node.js that provides a modular structure to achieve robust applications. Inspired from Angular, it brings forth significant features, such as Dependency Injection (DI), modules, and pipes, making it highly popular among the developers.
Below are five best practices that will help you maximize the full potential of NestJS, ensure your applications are production-ready, scalable, and easy to maintain.
NestJS was specifically developed to help address the increasing complexity problem server-side applications made of Node.js had been facing. When developing with Node.js, initially, the codebases were unstructured and monolithic, making the applications complex to scale and maintain.
Actually, in order to overcome these challenges, NestJS borrowed from Angular such concepts of modular architecture, DI, and even service-based design patterns. From the moment of its inception, the system evolved to include great middleware, interceptors, and guards for use by developers when building performance-driven applications with clean separation of concerns.
As the size of server-side applications grows, so does the problem of managing complexity. Without the emphasis on structured approach, the code base can grow too large to be maintained, extended, or tested. Developers commonly face problems with:
All these issues are natively handled by NestJS through its module design, DI system support, consistent coding practices, and full support for testing tools.
NestJS simplifies server-side development while bringing structure to the application. At its core, the framework is based on three pillars:
Let's now see some best practice on application development using NestJS.
Modularization-This is one of the core practices in NestJS. You can separate your application into modules with specific responsibilities, making it easy to handle, maintain, and scale. You can allow teams to work on different features or functionalities that do not affect other aspects of your application.
@Module({
imports: [UsersModule, ProductsModule],
controllers: [AppController],
providers: [AppService],
})
export class AppModule {}
@Module({
controllers: [AppController],
providers: [AppService],
})
export class AppModule {}
@Module({
controllers: [UsersController],
providers: [UsersService],
})
export class UsersModule {}
@Module({
controllers: [ProductsController],
providers: [ProductsService],
})
export class ProductsModule {}
With this approach, each module becomes a self-contained unit, allowing for better maintainability and scalability.
Dependency injection lets you decouple components and services for making your application more flexible and testable. That's exactly what NestJS provides: a provider-based system for embracing dependency injection, which means that now it is possible to inject dependencies into any class.
@Injectable()
export class UsersService {
constructor(private readonly usersRepository: UsersRepository) {}
}
@Injectable()
export class UsersService {
constructor(private readonly usersRepository: UsersRepositoryInterface) {}
}
In the second example, the UsersService relies on an interface rather than a specific implementation, allowing you to inject different repository implementations without changing the service code.
Error handling and logging are imperative to the robustness and security of applications. NestJS has in-built logging mechanisms, exception filters, among others, to help you catch and track errors throughout the application lifecycle.
@Controller('users')
export class UsersController {
@Get()
async findAll() {
try {
// some code
} catch (error) {
throw new HttpException('Error fetching users', 500);
}
}
}
@Controller('users')
export class UsersController {
constructor(private readonly logger: Logger) {}
@Get()
async findAll() {
try {
// some code
} catch (error) {
this.logger.error('Error fetching users', error);
throw new HttpException('Error fetching users', 500);
}
}
}
By injecting a logger into the controller, you gain better insights into the application’s behavior and can troubleshoot more effectively.
Consistency is one factor toward maintainability. NestJS encourages developers to have best practices on coding style, including ESLint and Prettier, when enforcing guidelines. This type of consistency would make your code readable and prevent possible errors and really help the members of your team collaborate.
@Controller('users')
export class UsersController {
@Get()
async findAll(): Promise<User[]> {
return this.usersService.findAll();
}
}
By adhering to conventions such as indentation and naming rules, the code becomes easier to read and maintain.
Testing is the most important part in application development. With NestJS, testing comes naturally out of the box with tools such as Jest for unit, integration, and end-to-end tests. Thorough testing ensures that your application remains reliable and free of regressions.
describe('UsersService', () => {
let service: UsersService;
beforeEach(async () => {
const module: TestingModule = await Test.createTestingModule({
providers: [UsersService],
}).compile();
service = module.get<UsersService>(UsersService);
});
it('should return an array of users', async () => {
const result = await service.findAll();
expect(result).toBeArray();
});
});
describe('UsersController', () => {
let controller: UsersController;
beforeEach(async () => {
const module: TestingModule = await Test.createTestingModule({
controllers: [UsersController],
providers: [UsersService],
}).compile();
controller = module.get<UsersController>(UsersController);
});
it('should return an array of users', async () => {
const result = await controller.findAll();
expect(result).toBeArray();
});
});
Tests provide the confidence needed to ensure your application functions correctly and is resistant to regressions.
Following these best practices on application building in NestJS will ensure that the code is maintainable, scalable, and reliable. This includes breaking down an application into modules and using Dependency Injection, effective error handling, maintaining a uniform style of coding, or going as far as writing tests exhaustively, which give the foundation to a good-architected application.
Coming in the right approach can let you build robust applications that are easier to maintain and scale as they grow.