- OpenAPI/Swagger Integration: Add
@OpenAPIDefinitionand document endpoints with@Operation,@Content - Pagination & Filtering: Implement query parameters for list endpoints (limit, offset, sort)
- Request Validation: Add
@Validand@Validatedwith Bean Validation (JSR 380) - Content Negotiation: Support multiple response formats (JSON, XML)
- Complex Queries: Add
@Querymethods in repositories with advanced JPQL - Transactions: Implement
@Transactionalwith proper boundary management - Relationships: Model One-to-Many, Many-to-Many relationships (User → Orders, Product → Categories)
- Auditing: Add created_at, updated_at, created_by fields with automatic tracking
- JWT Authentication: Implement token-based auth with Quarkus Security
- Role-Based Access Control (RBAC): Add
@RolesAllowed,@PermitAll,@DenyAll - Password Hashing: Use BCrypt for secure password storage
- Request Authorization Filter: Enforce permissions at endpoint level
- Exception Mappers: Create
@Providerexception handlers for different error types - Validation Annotations: Use
@NotNull,@Email,@Size, custom validators - Error Response DTOs: Standardize error responses with error codes and messages
- Logging Enhancement: Add structured logging (SLF4J) across layers
- Environment-Based Config: Use
@ConfigPropertyfor dev/prod/test profiles - Health Checks: Add SmallRye Health checks (
/q/health) - Metrics: Integrate MicroProfile Metrics for monitoring
- Feature Flags: Implement feature toggles for gradual feature rollout
- Test Containers: Use Testcontainers for PostgreSQL in integration tests
- Mocking: Add Mockito for service layer testing
- REST Client Testing: Test external API integrations
- Performance Testing: Basic load testing with JMH
- Multi-Entity Application: Build a complete domain (e.g., E-commerce: Products, Orders, Customers)
- File Upload/Download: Implement multipart form handling
- Batch Processing: Add background job scheduling with Quartz
- Caching: Use Quarkus Cache with Redis/Infinispan
- Event-Driven: Implement event publishing/consumption with Kafka
- Health Endpoints:
/q/health,/q/health/ready,/q/health/live - Liveness/Readiness Probes: Kubernetes-ready health checks
- Graceful Shutdown: Handle shutdown hooks properly
- Container Optimization: Multi-stage Docker builds, native image building
- API Documentation: Auto-generated from annotations
- Code Comments: Document complex business logic
- Architectural Decision Records (ADRs): Document why choices were made
- Performance Optimization: Query optimization, lazy loading strategy
- Start: Request validation + advanced queries → Real-world entities
- Then Add: JWT + RBAC → Error handling mappers
- Production Ready: Health checks + Metrics → Docker optimization
- Advanced: Caching + Async processing → Event streaming