Master Spring 7, Spring Boot 4, REST, JPA, Spring Security - Code Examples
๐ Master Spring 7, Spring Boot 4, REST, JPA, Spring Security
Master Spring 7, Spring Boot 4, REST, JPA, Spring Security is a complete backend-focused course designed to help you become a production-ready Java Backend Engineer. You will learn how to design and build real-world web applications and REST APIs using Spring Framework, Spring Boot, Spring Data JPA, and Spring Security โ from fundamentals to deployment.
๐ Course Curriculum Overview
๐ Section 1 โ Spring Core & Maven: The Fast-Track Foundation
Start with the backbone of Spring development:
- Why Core Java alone is not enough for modern backend apps
- Maven fundamentals and dependency management
- IoC, Dependency Injection, Beans & ApplicationContext
- Creating beans using
@Beanand@Configuration
๐งฉ Section 2 โ Spring Beans Deep Dive
Move beyond basics into advanced bean management:
- Autowiring strategies,
@Primary,@Qualifier - Bean scopes (Singleton, Prototype)
- Lifecycle hooks with
@PostConstruct&@PreDestroy - Constructor vs Setter vs Field injection
- Programmatic bean registration
๐ Section 3 โ Mastering Spring Boot REST API Development
Build professional REST APIs:
@RestController,@SpringBootApplication, Auto-Configuration- Request handling (
@PathVariable,@RequestBody, Headers, Params) - API Versioning strategies
RequestEntity&ResponseEntity- HTTP fundamentals & best practices
โ๏ธ Section 4 โ Spring Boot Essentials
Improve project structure and developer experience:
- Clean package architecture
- Spring Boot DevTools
- H2 Database setup & data loading
- Better logging & development workflow
๐๏ธ Section 5 โ Spring Data JPA
Learn database interaction the modern way:
- ORM fundamentals
- Entities, Repositories & DTO pattern
- Lombok usage
- Derived queries & data mapping
- CORS handling
๐ณ Section 6 โ Databases with Docker
Move from local DB to containerized environments:
- Docker fundamentals for backend developers
- Running MySQL with Docker
- Docker Compose with Spring Boot
- Persistent volumes & configuration
๐ ๏ธ Section 7 โ Building Real Backend Features
Hands-on feature development:
- Contact API implementation
- Hibernate schema generation
- End-to-end API testing with UI
๐ง Section 8 โ Essential Backend Skills
Learn production-ready practices:
- Global exception handling
- Backend validations
- JPA Auditing
- OpenAPI / Swagger documentation
- Web scopes (Request, Session, Application)
๐ Section 9 โ Mastering JPA Relationships
Deep dive into entity mappings:
- OneToMany & ManyToOne relationships
- Fetch vs Cascade explained clearly
- Deletion strategies
- Real-world relationship modelling
๐ Section 10 โ Spring Security Essentials
Understand how Spring Security behaves internally:
- Default security behavior
- Custom configurations
- CORS setup
- Internal authentication flow explained
๐ Section 11 โ Authentication: From Passwords to JWT
Modern backend authentication:
- Hashing vs Encryption vs Encoding
- Password encoders
- JWT token generation & validation
- Custom filters for authentication flow
๐ก๏ธ Section 12 โ Database Authentication & CSRF Protection
Build secure real-world login systems:
- Users & Roles design
- Custom AuthenticationProvider
- Derived queries for validation
- CSRF attack theory & implementation
๐ Section 13 โ Logging in Spring Boot
Design production-grade logging:
- Logback configuration
- Structured logging strategies
- Debugging and monitoring techniques
๐ Section 14 โ Aspect-Oriented Programming (AOP)
Handle cross-cutting concerns:
- Aspect, Advice & Pointcuts
@Around,@Before,@AfterReturning,@AfterThrowing- Performance logging and centralized exception handling
๐ Section 15 โ Advanced Queries in Spring Data JPA
Improve database performance:
- JPQL & Native Queries
- Named Queries
- Solving N+1 problems
- Batch fetching strategies
๐ Section 16 โ Authorization, Sorting & Pagination
Enhance API security & data handling:
- Roles vs Authorities
- Securing APIs
- Sorting & Pagination implementation
๐ผ Section 17 โ Mastering Transactions
Understand real transaction behavior:
@Transactionalinternals- Propagation & Isolation levels
- Rollback rules
- Production pitfalls
โก Section 18 โ Spring Cache & Performance Optimization
Make APIs faster:
@Cacheable,@CachePut,@CacheEvict- TTL-based caching
- Caffeine integration
๐ค Section 19 โ Real Feature Development
Build advanced backend workflows:
- User profile management
- Resume uploads
- Job bookmarking & application APIs
- ManyToMany best practices
๐ Section 20 โ Configuration & Profiles
Master environment-based backend setups:
@ConfigurationProperties- Externalized configuration
- Profiles for DEV/QA/PROD
- Conditional bean creation
๐ก Section 21 โ Production-Ready Observability
Monitor backend systems like industry experts:
- Spring Boot Actuator
- Metrics, logs & tracing
- OpenTelemetry & Micrometer
๐ Section 22 โ Consuming REST APIs
Learn how backend services communicate:
- RestClient usage
- HTTP Service Client
- Service grouping strategies
โ๏ธ Section 23 โ Deploying to AWS
Take your backend to the cloud:
- AWS RDS setup
- Elastic Beanstalk deployment
- Production configuration
โ Pre-requisites
- Good understanding of Core Java
- Basic understanding of HTML, CSS, and Web Apps (not mandatory)
- Willingness to Learn and Break Things
- A laptop
๐ Important Links
- Spring Initializer โ https://start.spring.io/
- Spring Website โ https://spring.io/
- Spring Projects โ https://spring.io/projects
- Lombok โ https://projectlombok.org/
- Docker โ https://www.docker.com/
- Docker Hub โ https://hub.docker.com/
- AWS โ https://aws.amazon.com/
- AWS Elastic Beanstalk โ https://aws.amazon.com/elasticbeanstalk/
๐ณ Docker Command โ Create MySQL Database
```bash docker run -p 3306:3306 \ --name=jobportaldb \ -e MYSQLROOTPASSWORD=root \ -e MYSQL_DATABASE=jobportal \ -v /Users/eazybytes/Desktop/jobportal-data:/var/lib/mysql \ -d mysql
