Data Fetching is a crucial part of building any dynamic application, and web applications are no exception. It’s the backbone of almost every piece of software we use daily, so implementing it optimally and following best practices is important. If done correctly, it could organize your code better to be more maintainable and reusable, as well as optimize page loading times which improves user experience.
As an Aidodev software engineer, I was working with one of our customers on a crypto project called Infiniteblocks. Fetching data efficiently and optimally was crucial, and that must be done while having a robust and well-organized architecture to ensure scalability and maintainability of the project.
Architecture 🏗
Web applications follow the 3-tier architecture: the frontend (the client), the backend (logic tier), and the database. To fetch data and show it to the user, the frontend sends a request to the server and receives a response containing the needed data.
Design Patterns 📝
There are different design patterns used for building a Next.JS application, such as MVC, MVVM, and Flux. Each pattern has specific use cases depending on the complexity and requirements of the application.
How It Works 🔎
Next.JS apps are built on React, which uses components. Components have their own state. To fetch the data, we use hooks like useEffect and services like fetchUsers to handle data fetching logic.
Best Practices ✨
Following best practices such as separating concerns using hooks and services improves performance, code reusability, and maintainability. It also allows for easier testing and modularity in applications.
Conclusion
Data fetching is a critical aspect of web development, and by following best practices like separating concerns with hooks and services, you'll build efficient and maintainable Next.js applications. Focus on functionality first, then implement best practices to reap their long-term benefits.