Architecture Overview
Our blog platform uses a three-tier architecture that consists of a React frontend, Spring Boot backend, and PostgreSQL database.
Each component focuses on specific responsibilities while communicating through well-defined interfaces.
Frontend Layer
Our React frontend handles all user interactions and interface rendering.
It manages client-side state, processes forms, and communicates with the backend through API calls.
Backend Layer
The Spring Boot backend implements our core business logic and API endpoints.
It handles data validation, authentication and our business logic.
The backend serves as an intermediary between the frontend and database, ensuring data integrity and security.
Data Layer
PostgreSQL provides our persistent data storage with ACID compliance and relational capabilities.
It maintains data integrity while supporting complex queries and relationships needed for our blog platform.
Component Communication
Frontend to Backend Communication
Communication occurs through a REST API using JSON data format.
HTTP methods map to specific operations while maintaining stateless communication.
React components make HTTP requests to API endpoints and update the UI based on responses.
Backend to Database Communication
Spring Data JPA eliminates direct SQL writing through powerful abstractions.
It generates SQL queries from method names and handles entity mapping automatically.
Repository interfaces define our database operations while Spring Data JPA implements them.
Flow of Operations
When users interact with the React UI, it triggers HTTP requests to Spring Boot endpoints.
The backend validates and processes these requests through business logic layers.
Spring Data JPA converts operations to database queries, with results flowing back through layers to update the UI.
Summary
- Three-tier architecture separates concerns between frontend, backend, and database
- React frontend provides an interactive user interface
- Spring Boot backend manages business logic and API endpoints
- PostgreSQL ensures reliable data persistence