Laying the foundation for stronger backend systems. I’ve started setting up the backend foundation of my project using Java & Spring Boot. Focused on: • Structuring the project properly • Implementing Controller → Service → Repository layering • Configuring database connectivity Realizing that strong backend systems start with clean architecture not just working endpoints. Building step by step. 🚀 #Java #SpringBoot #BackendDeveloper #SoftwareEngineering #BuildingInPublic
Setting up Java Spring Boot Backend Foundation
More Relevant Posts
-
🚀 Understanding Spring Boot – More Than Just REST APIs Spring Boot simplifies backend development by providing powerful features that help developers build scalable and production-ready applications. One of the most important concepts is the request flow architecture: Client ➝ Controller ➝ Service ➝ Repository ➝ Database This layered architecture keeps the code clean, modular, and maintainable. 🔹 Key Features of Spring Boot ✔ Auto Configuration ✔ Embedded Server (Tomcat) ✔ Spring Security ✔ Profiles & External Configuration ✔ Database Integration ✔ Actuator & Metrics Spring Boot allows developers to focus more on business logic instead of complex configuration, making it one of the most popular frameworks for Java backend development. Currently exploring and building projects using Java & Spring Boot to strengthen my backend development skills. #Java #SpringBoot #BackendDevelopment #RESTAPI #Microservices #SoftwareDevelopment
To view or add a comment, sign in
-
-
🚀 Spring Boot Annotations Every Backend Developer Must Master Spring Boot may look simple from the outside… But the real magic lies in its annotations 🔥 Building APIs is easy. Designing secure, scalable, production-grade systems? That’s where annotations shine. Here are the ones I use the most in real-world projects: 🔹 Application Bootstrapping @SpringBootApplication @EnableAutoConfiguration @ComponentScan 🔹 Dependency Injection @Autowired @Qualifier @Primary 🔹 REST APIs @RestController @RequestMapping @GetMapping / @PostMapping / @PutMapping / @DeleteMapping 🔹 Database & JPA @Entity @Id @Transactional @Repository 🔹 Validation @NotNull @NotBlank @Size @Email 🔹 Exception Handling @ExceptionHandler @ControllerAdvice @RestControllerAdvice 🔹 Security (Production Level) @EnableWebSecurity @PreAuthorize @Secured Spring Boot isn’t just about writing controllers. It’s about clean architecture, layered design, transaction management, validation, and security. 💬 Which annotation do you use the most in your projects? #Java #SpringBoot #BackendDevelopment #Microservices #SystemDesign #JWT #SoftwareEngineering #LearningInPublic
To view or add a comment, sign in
-
🚀 Spring Boot developers — are your tests slower than they should be? Many developers write tests using: @SpringBootTest But this loads the entire Spring context, which makes unit tests slower and heavier. For simple unit tests, a better approach is: @ExtendWith(MockitoExtension.class) This loads only the test context and allows you to mock dependencies with Mockito. ⚡ Result: • Faster test execution • Cleaner unit tests • Better isolation of business logic • Improved development productivity In large Spring Boot microservices, small optimizations like this can save minutes on every build pipeline. 💡 Developer Tip: Use MockitoExtension for unit tests and reserve @SpringBootTest for integration tests. What strategy do you use to speed up your Java test suite? #Java #SpringBoot #Mockito #UnitTesting #BackendDevelopment #SoftwareEngineering #JavaDeveloper
To view or add a comment, sign in
-
-
🚀 Day 25 & 26 — Backend Debugging, Optimization & Documentation Focused on improving the quality of my Spring Boot Job Portal backend beyond just “working code”. 🔐 Auth & Security Fixes: • Fixed JWT handling — invalid/expired tokens now return proper 401 instead of 500 • Removed redundant DB query during login using authenticate.getPrincipal() • Standardized constructor-based dependency injection ⚡ Performance Improvements: • Eliminated double DB lookups using optimized repository methods (JOIN-based queries) • Fixed N+1 query issue using JOIN FETCH • Added @Transactional(readOnly = true) for better Hibernate performance 🛡️ Logic & Stability Fixes: • Prevented unintended reset of employer verification • Handled null cases using Optional (avoided runtime crashes) ⚠️ Error Handling Overhaul: Implemented GlobalExceptionHandler with proper mappings: • 404 → Resource not found • 401 → Unauthorized • 403 → Access denied • 409 → Conflict • 500 → Only for unexpected errors 📄 Day 26 — Documentation Upgrade: • Improved README with API endpoints • Added setup & deployment instructions • Documented architecture & authentication flow 💡 Key Learning: A good backend is not just about building features — it’s about handling edge cases, optimizing performance, and writing clean, maintainable code. #SpringBoot #Java #BackendDevelopment #100DaysOfCode #LearningInPublic
To view or add a comment, sign in
-
🚀Day : 04/100 Spring vs Spring Boot – What's the Difference? Many developers starting with Java backend often get confused between Spring and Spring Boot. So I created this simple infographic to explain the key differences. 🔹 Spring Framework • Requires more configuration • Uses XML / manual setup • Better for highly customized enterprise applications 🔹 Spring Boot • Auto-configuration • Embedded server (Tomcat, Jetty) • Faster development and easier setup 💡 Key Idea: Spring Boot simplifies Spring development and helps developers build production-ready applications quickly. If you're starting backend development with Java, Spring Boot is usually the best place to start. #Java #Spring #SpringBoot #BackendDevelopment #SoftwareEngineering #LearningInPublic #Developers
To view or add a comment, sign in
-
-
Instead of only reading about Java, I decided to learn it by actually building something. Lately, I’ve been experimenting more with the Java backend ecosystem, so I built a backend project to put things into practice. The application uses Spring Boot to structure the API, Spring Security for authentication, and PostgreSQL with jOOQ for database access. It also integrates AWS S3 for file storage and Spring Mail for sending order confirmation emails, with Docker Compose used to simplify the local development setup. It was a good opportunity to explore how the typical components of a Java backend fit together in practice. If you're interested in the architecture or implementation, the full project is on GitHub: https://lnkd.in/dQA8mFJT Always open to feedback from other developers. #Java #BackendDevelopment #SpringBoot #LearningByBuilding
To view or add a comment, sign in
-
-
Most Spring Boot apps I review have the same problems. Not complex architecture issues. Basic mistakes that compound over time and make the codebase painful to work with. Here are 7 that come up again and again: 1. Field injection instead of constructor injection 2. Business logic stuffed inside controllers 3. Try-catch scattered everywhere instead of a global exception handler 4. No database indexes on filtered columns 5. Hardcoded config values baked into the code 6. One config file for all environments 7. Unit tests only, no integration tests The fix for each one takes less than 30 minutes. The cost of ignoring them shows up months later when onboarding slows down, bugs slip through, and deployments break. Which of these have you seen in production code? Follow Amigoscode for more Spring Boot and Java content. #Java #SpringBoot #SoftwareDevelopment
To view or add a comment, sign in
-
which is the one you hate the most? Mine is try-catch everywhere and unit test only on database access heavy apps. I have to add another one though: Returning Response objects in controller instead of POJOs... which is a direct consequence of not using a global exception handler. Less code => less code to worry about!
Founder of Amigoscode | Software Engineering Training for Teams and Individuals | Java | Spring Boot | AI | DevOps
Most Spring Boot apps I review have the same problems. Not complex architecture issues. Basic mistakes that compound over time and make the codebase painful to work with. Here are 7 that come up again and again: 1. Field injection instead of constructor injection 2. Business logic stuffed inside controllers 3. Try-catch scattered everywhere instead of a global exception handler 4. No database indexes on filtered columns 5. Hardcoded config values baked into the code 6. One config file for all environments 7. Unit tests only, no integration tests The fix for each one takes less than 30 minutes. The cost of ignoring them shows up months later when onboarding slows down, bugs slip through, and deployments break. Which of these have you seen in production code? Follow Amigoscode for more Spring Boot and Java content. #Java #SpringBoot #SoftwareDevelopment
To view or add a comment, sign in
-
One thing I truly appreciate about working with Java and Spring Boot is how structured the development process is. When you build applications using Spring Boot with Java, you naturally learn: Clear layering (Controller → Service → Repository) Dependency Injection & loose coupling SOLID principles in action Structured configuration management Security-first design Clean exception handling Production-ready packaging This structure doesn’t just help you build Spring applications — it trains your mindset. Recently, while working on modern stacks like FastAPI, React-based architectures, and microservices, I realized something important: Good architecture is transferable. Once you understand: • How layers communicate • Where business logic belongs • How to design APIs properly • How to secure systems • How to think in scalable patterns You can apply the same discipline to any modern framework. Frameworks change. Principles don’t. That’s the real advantage of mastering a well-structured ecosystem first. #Java #SpringBoot #SoftwareArchitecture #CleanCode #Microservices #BackendDevelopment #FullStack #EngineeringMindset
To view or add a comment, sign in
-
📚 Learning Spring Boot Annotations Today I explored some important Spring Boot annotations that make backend development easier. Some of the most commonly used ones are: ✔️ @SpringBootApplication – Main entry point of the application ✔️ @Autowired – Used for dependency injection ✔️ @RestController – Creates REST APIs ✔️ @Service – Business logic layer ✔️ @Repository – Database layer Spring Boot simplifies Java development and helps build scalable backend applications faster. Always excited to learn and improve my development skills. 💻 #Java #SpringBoot #BackendDeveloper #LearningJourney #SoftwareDevelopment
To view or add a comment, sign in
-
Explore related topics
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development