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Developed a robust and scalable backend infrastructure for a Blogging Application, ensuring efficient data management and controls. Utilized JDBC & Hibernate for seamless backend and database integration. The search option allows the user to see all the matching blog titles related to searched words in a paginated way.

HTML 59.35% CSS 14.42% JavaScript 1.66% PHP 0.55% Java 24.02%
java jdbc jpa-hibernate mysql software-development spring-boot spring-mvc

blogging-application's Introduction


Blogging Application

This repository hosts the source code for a robust Blogging Application backend developed using Java Spring Boot, JPA with Hibernate, and MySQL. This README provides an overview of the project, including the technologies used, architecture, layers, and key features.

Technologies Used โš™

  • Java Spring Boot
  • JPA with Hibernate
  • MySQL

Architecture ๐ŸŽฏ

The application follows a scalable and robust architecture designed to efficiently manage data and provide seamless integration between the backend and the database. Key components of the architecture include:

  • Java Spring Boot: Provides a powerful framework for building and deploying Java-based applications, offering features such as dependency injection and embedded HTTP servers.
  • JPA with Hibernate: Enables object-relational mapping for Java applications, simplifying the interaction with the database and providing seamless data persistence.
  • MySQL: Used as the relational database management system to store and manage blog-related data.

Layers ๐Ÿ’ป

The application is structured into layers to ensure modularity, maintainability, and scalability:

  1. Controller Layer: Responsible for handling incoming HTTP requests, processing inputs, and generating appropriate responses.
  2. Service Layer: Contains the business logic of the application, including blog management, user authentication, and search functionality.
  3. Repository Layer: Interfaces with the database using JPA repositories, performing CRUD operations and database transactions.
  4. Model Layer: Defines the data models and entities used throughout the application, representing blog posts, users, and other entities.

Features โœจ

  • Robust Backend Infrastructure: Developed a scalable backend infrastructure to handle blog-related operations efficiently.
  • Seamless Integration: Utilized JDBC & Hibernate to ensure seamless integration between the backend and the MySQL database.
  • Search Functionality: Implemented a search option that allows users to find blog titles matching specific keywords. The search results are displayed in a paginated manner, enhancing user experience and facilitating content discovery.

Links ๐Ÿ”—

Feel free to explore the codebase and contribute to the development of this Blogging Application. If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request. Thank you for your interest and support!


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