Built a Quora-like backend with Java, Spring Boot, and MySQL

🚀 Built a Task Management REST API! 📌 𝗧𝗮𝘀𝗸 : Develop a RESTful backend API for a task management application that can be integrated with any frontend. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝘁: ✅ Complete CRUD operations (Create, Read, Update, Delete) ✅ RESTful endpoints following best practices ✅ Status-based filtering (All tasks / Completed / Pending) ✅ Custom JPA query methods for efficient data retrieval ✅ Three-layer architecture (Controller-Service-Repository) ✅ Clean, maintainable code structure 💡 𝗞𝗲𝘆 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Understanding Spring Data JPA's "convention over configuration" - by simply naming methods like `findByCompletedTrue()`, Spring automatically generates the SQL queries! This significantly reduced boilerplate code. 📋 𝗔𝗣𝗜 𝗘𝗻𝗱𝗽𝗼𝗶𝗻𝘁𝘀: - GET /all - Retrieve all tasks - GET /true - Get completed tasks only - GET /false - Get pending tasks only - POST /add - Create new task - PUT /update/{id} - Update existing task - DELETE /delete/{id} - Remove task 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Java | Spring Boot | PostgreSQL | Spring Data JPA | REST API. Watch the video to see the API in action! 🎥👇 This project strengthened my backend development skills💪 and deepened my understanding of RESTful API design principles and Spring framework capabilities. #SpringBoot #Java #BackendDevelopment #RESTfulAPI #PostgreSQL #SpringDataJPA #SoftwareEngineering #CodingLife 👨💻

🚀 Excited to Share My New Backend Project! I’ve recently built a complete Customer Order API using Java Spring Boot and MySQL, designed to demonstrate the real-world power of backend engineering — from authentication and authorization to efficient data management and API documentation. 🔧 Tech Stack & Highlights: Spring Boot (RESTful API development) Spring Security + JWT for secure authentication & authorization Spring Data JPA with MySQL for smooth database integration Hibernate Validator for input validation Spring Boot Actuator for monitoring and management Swagger (Springdoc OpenAPI) for API documentation and testing Lombok for cleaner, more maintainable code 📽️ I’ve also showcased the Swagger API testing in a short demo video to highlight the endpoints and features in action. 💻 Check out the full project on GitHub: 👉 https://lnkd.in/gh2aNwH9 Building this project helped me strengthen my understanding of RESTful design principles, role-based access control, and secure API development — all essential skills for backend engineering. Would love to hear your thoughts or suggestions for improvements! 🌱 Let's Grow Together 🧿 #Java #SpringBoot #BackendDevelopment #MySQL #APISecurity #Swagger #SpringSecurity #SoftwareEngineering #LearningByDoing

My flagship project `Skydiving Logbook REST API` - This RESTful API enables users to securely log, manage, and analyze their skydiving jumps, with role-based access for regular users and admins. <br> - Built with Java Spring Boot, Spring Data JPA, MySQL (development) and H2 (testing), it implements JWT authentication with custom Spring Security filters and services. - Containerized the Spring Boot backend using a multi-stage Docker build separating build and runtime stages for optimized deployment and reduced image footprint by ~50%. - Integrated Continuous Integration (CI) using GitHub Actions, enabling automated execution of JUnit and Spring Boot Integration Tests, with JaCoCo coverage reports for reliable and transparent test results, forming a solid foundation for future features and deployment. - The API supports search, pagination, and dashboard statistics, while a lightweight frontend built with HTML, JavaScript, and Bootstrap & CSS allows users to register, log in, create jumps, and view their jump history.  - A multi-stage Docker setup enables lightweight, reproducible containerization and streamlined deployment, while Spring Boot Integration Tests, JUnit, and Mockito ensure 95% code coverage for a reliable foundation for future features such as Swagger documentation and extended cloud deployment. https://lnkd.in/dhKWMnBy

🧱 Day 13 — Data Modification with REST APIs in Spring Boot Continuing my 100 Days of Java Backend, Spring Boot & AI Integration journey 🚀 Today, I explored how to create, update, and delete data using REST APIs — and how to handle responses the right way using ResponseEntity. Even though I already knew these concepts, revisiting them helped me better understand HTTP semantics and Spring best practices for building clean, scalable APIs 💡 ------------------------------------------------------------------------------- 💡 What I Learned 📝 POST Request — Creating Data Used @RequestBody to accept JSON input from the client, created new resources, and returned HTTP 201 (Created) responses for successful operations. ✏️ PUT Endpoint — Updating Resources Implemented update functionality to modify existing data, learning how to handle partial vs full updates properly. 🗑️ DELETE Endpoint — Removing Data Explored how to safely delete resources while maintaining proper HTTP response codes (204 No Content). 📦 ResponseEntity in Depth Learned how to customize API responses with headers, body, and HTTP status codes — improving API clarity and client understanding. ⚙️ Best Practices for API Design Revisited naming conventions, error handling, and response consistency to make APIs predictable and professional. ------------------------------------------------------------------------------- Understanding how to modify data with precision is key to building reliable backend systems. Next, I’ll move into database integration using JPA and entity relationships — connecting APIs to real-world data 🔗 #100DaysOfJavaBackend #Day13 #SpringBoot #RESTAPI #JavaDeveloper #BackendDevelopment #SpringFramework #ResponseEntity #HTTPMethods #LearningJourney #SoftwareEngineering #AIDeveloper #CleanCode #APIDesign

🌦️ Just Built a Weather Application with Spring Boot Excited to share my latest project - a fully functional weather application that fetches real-time weather data using the OpenWeatherMap API. 💡 Key Technical Implementations: ✅ Spring Boot MVC Architecture • Developed RESTful controllers to handle HTTP requests • Implemented Model classes with proper encapsulation and data mapping • Created dynamic views using Thymeleaf templating engine ✅ External API Integration • Integrated OpenWeatherMap API using RestTemplate • Implemented JSON-to-Java object mapping with Jackson • Managed API authentication securely using @Value annotations ✅ Object-Oriented Design • Built nested classes to mirror API response structure • Implemented getters/setters for proper data encapsulation • Designed WeatherResponse model with Main, Wind, Sys, and Weather classes ✅ Full-Stack Features • Real-time weather data display (temperature, humidity, wind speed) • Dynamic weather icons based on condition codes • Responsive user interface with search functionality 🔧 Tech Stack: Java, Spring Boot, REST API, Thymeleaf, HTML/CSS, Maven This project deepened my understanding of: → How RESTful APIs work end-to-end → JSON deserialization and object mapping → MVC design patterns in Spring Boot → Building scalable Java applications Always learning, always building 💻 #SpringBoot #Java #WebDevelopment #API #SoftwareEngineering #Learning #Coding #BackendDevelopment #Tech

💡 𝗪𝗵𝘆 𝗜 𝗯𝘂𝗶𝗹𝘁 𝗺𝘆 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 & 𝗝𝗣𝗔 (𝗮𝗻𝗱 𝗻𝗼𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗲𝗹𝘀𝗲) A few weeks ago, I wanted to sharpen my backend skills — but instead of following tutorials, I decided to build something real: an Activity Tracker API that records and analyzes user actions (logins, API hits, etc.) in real time. At first, I considered Node.js + Express because it’s lightweight and quick to start. But as I listed my requirements — relational data, audit trails, transaction safety, and scalability — I realized Java + Spring Boot + JPA was a more solid choice for this use case. Here’s what I built: 🔹 Spring Boot + Spring Data JPA (MySQL) for a clean, maintainable backend. 🔹 Used @OneToMany and @Query for flexible entity relationships and custom queries. 🔹 Added Redis caching to reduce query load and speed up frequent requests. 🔹 Containerized with Docker, deployed on AWS EC2, and automated builds using GitHub Actions. 🔹 Tested endpoints in Postman and documented APIs via Swagger UI. Choosing this stack helped me understand how powerful Spring’s abstraction can be — and how it balances developer productivity with system robustness. Next, I plan to integrate Kafka for asynchronous event processing and maybe a React dashboard for visualization. Every project teaches something new — this one taught me why design choices matter as much as code. #Java #SpringBoot #SpringDataJPA #BackendDevelopment #Microservices #APIDevelopment #CloudComputing #AWS #Docker #DevOps #SoftwareEngineering #CodingJourney #TechCareer #FullStackDeveloper #CleanCode #LearningByBuilding #PersonalProject #100DaysOfCode #TechCommunity #SystemDesign #ProgrammersLife #WomenInTech #GitHub #Innovation #CareerGrowth

Learn how to implement REST API POST endpoints in Spring Boot with best practices, including request handling, status codes, and more.

I wasted 4 hours debugging a NullPointerException in a DTO last year. Never again. 🤦♂️ The biggest win in modern Java is eliminating the verbosity that used to haunt us. If you are still writing manual getters, setters, and constructors for simple data carriers in your Spring Boot application, you are leaving productivity on the table. Embrace Java Records (since Java 16). They are immutable, concise, and perfect for Data Transfer Objects (DTOs) in a Microservices architecture. They drastically cut boilerplate, making your code cleaner and safer for concurrent operations. This single feature drastically improves developer experience and reduces the surface area for common bugs. When your Microservice goes to Docker and Kubernetes, configuration must be dynamic. Don't hardcode variables! Spring Boot's Externalized Configuration is a foundational feature. The ability to pull configuration from sources like environment variables, Config Maps, or `application.yml` ensures your service adheres to the 12-Factor App principles. This is how scalable, production-ready Java apps are built and integrated into automated CI/CD pipelines 🚀. Finally, master the Java Stream API. It simplifies complex collection processing, making heavy data operations declarative instead of imperative. Paired with `var` (Local-Variable Type Inference), your internal business logic becomes easier to reason about and maintain. Cleaner code is easier to scale, which is the heart of good system design and maintaining low technical debt over time. What is the single most underrated Java or Spring Boot feature that has saved your team the most time and headache? Share your breakthrough moment! #Java #SpringBoot #DevOps #Microservices #SystemDesign #CodingTips

🚀 I finally solved that chaos — and turned it into a real project. Most Java beginners get stuck when Spring Boot introduces: @OneToOne @OneToMany @ManyToMany mappedBy, cascade, fetch, join table 🤯 And suddenly the database looks like this: “Where did these extra tables come from??” Instead of explaining theory, I built a Student Management System that shows everything clearly: ✅ One-to-One mapping ✅ One-to-Many mapping ✅ Many-to-Many (bidirectional) ✅ With database diagram + clean code + comments 💻 GitHub Repo (Learn by DOING): 👉 https://lnkd.in/gGwzJT3T 🔁 Fork → Build → Submit PR I’ll personally review your pull request and give feedback. Why I built this Because tutorials teach concepts. Projects teach thinking like a developer. If JPA mappings confuse you, this repo will make everything click. Let’s build real projects, not just watch tutorials. 🚀 #java #springboot #jpa #springdatajpa #backend #github #projects #students #developers #learningtocode