So youâve spent months polishing your resume, applying to every "Java Backend Engineer" job on LinkedIn, and still... crickets. Maybe itâs time to face the truth: your Spring Boot project is just another to-do list API. Letâs fix that, shall we?
This blog is your brutally honest roadmap to build a real, complex, production-worthy backend project using Spring Boot. Not a tutorial for kids. This oneâs for future CTOs.
đ Phase 1: Spring Boot Fundamentals (Yes, Actually Learn It This Time)
Before you dream about microservices and Kubernetes, at least understand what @RestController
does without Googling it every time.
â What You Need to Know
- REST APIs using
@RestController
, DTOs, request validation - Dependency Injection (yes,
@Autowired
isnât magic) - YAML configs and multiple profiles like
dev
,prod
(if youâre still hardcoding URLs, we need to talk) - Maven or Gradle â pick one and stop crying
đ Tools: Postman, Spring Boot DevTools, and enough caffeine to replace your social life.
đ ïž Phase 2: Talk to the Damn Database
Your app doesnât need to store data in a List forever. Get serious.
â Learn JPA + Hibernate
- Relationships:
@OneToMany
, not one-to-regret - JPQL for complex queries (SQL is not a dirty word)
- Pagination with
Pageable
, notfindAll()
- DTO mapping for sanity
đ§ Bonus: Use Flyway or Liquibase. Stop manually altering tables like itâs 2010.
đ Phase 3: Stop Building Insecure Toy Apps
If your API exposes everything to everyone, congrats â you're building a hacker's dream.
â Security You Canât Ignore
- JWT-based Authentication/Authorization
- Role-Based Access Control (RBAC)
- CSRF protection, CORS config
- Optional Flex: OAuth2 with Google, GitHub, or Keycloak
Pro tip: Don't leave /admin
open just to test it. Recruiters will test your GitHub and silently judge you.
đŠ Phase 4: Write Real Business Logic
Your service layer should do more than just "return repo.findAll()".
â Business Layer Like a Pro
-
@Service
classes handle real-world logic - Centralized error handling with
@ControllerAdvice
- Input validation using
@Valid
, notif(name==null)
- Apply some DDD (no, itâs not a disease)
đ§Ș Phase 5: Tests â The Adulting Part
If your excuse is "it works on my machine," you're not ready.
â Test Everything
- JUnit + Mockito for unit tests
- Testcontainers for real DBs in tests
- WebTestClient or MockMvc for controller tests
- WireMock to mock those flaky external APIs
Let your tests fail before your interviews do.
đĄ Phase 6: Talk to Other Services (Without Crying)
Your app needs to interact with others â donât be socially awkward like your LinkedIn headline.
â WebClient & Resilience
- Use non-blocking WebClient
- Retry logic, timeouts, circuit breakers with Resilience4j
- Handle failures like a champ, not with
Thread.sleep(5000)
âïž Phase 7: Be Asynchronous (Like That One Guy Who Never Replies)
â Messaging Queues
- Kafka or RabbitMQ for async processing
- Spring Cloud Stream makes life easy
- Dead Letter Queues (because things will fail)
If youâre still using @Async
, itâs time to grow up.
âïž Phase 8: Microservices (The Real Kind)
Not "I have 3 controllers in 3 folders" microservices â the actual distributed system kind.
â Microservice Communication
- Feign clients, WebClient, Eureka
- Centralized config with Spring Cloud Config
- Load balancing, service discovery
Just donât forget: monoliths aren't evil if you donât understand microservices yet.
đ Phase 9: Modular Architecture (No More God Class)
Split your app into:
auth-service
document-service
billing-service
notification-service
Use Maven multi-modules or Gradle composite builds. Your future teammates will thank you â if you ever get a job.
âïž Phase 10: Deploy Like a Legend
You want to work at a tech company but canât Dockerize your app? Come on.
â DevOps Stuff
- Docker multi-stage builds
- Docker Compose for local setup
- Kubernetes for the real world (Minikube to start)
- Helm charts if youâre serious
â Observability
- Logs with Logback (JSON format, pls)
- Metrics with Micrometer + Prometheus
- Tracing with OpenTelemetry + Jaeger
- Spring Boot Actuator for health checks
đĄ Project Idea: Build Something That Screams "Hire Me"
đ„ AI-Powered Legal Document SaaS
- PDF upload and parsing
- JWT + Keycloak auth
- OpenAI integration for summarization
- Kafka for async
- Stripe for billing
- Spring Boot Admin dashboard
- Microservices + Docker + K8s
Now that is a portfolio project. Not another âBookStore API with CRUD.â
đ§ Still Jobless?
Listen. If you're:
- Doing copy-paste Stack Overflow development
- Building CRUD apps since 2021
- Thinking âmicroservicesâ means multiple classes
Then yes, you're still jobless â and you'll stay that way unless you level up.
đȘ Final Words: You Got This
Building a complex Spring Boot project isnât easy â but neither is sitting jobless, pretending you're "waiting for the right opportunity."
đą Get off your lazy backend, open IntelliJ, and build something that scares you. When you're done, deploy it, document it, open-source it.
And then? Watch those recruiters slide into your inbox like:
"Hi, loved your project. Are you open to opportunities?"
Youâre welcome.
Top comments (2)
From my extensive experience, I disagree with the following in the Hibernate section:
Relationships: @OneToMany, not one-to-regret
I concur that while using the @XToMany annotation isn't inherently bad, you must understand the real case. If there are thousands of rows behind a OneToMany relationship and you are not using lazy loading, you might have trouble. Always use lazy loading and load exactly those relations you need to have for your use case fetched.
DTO mapping for sanity
I don't understand this. I see this in some projects and I find it a strange practice among developers. Why would someone map an entity immediately to a DTO? You create unnecessary overhead, consuming more memory (the entity is still present in the persistence context too), more CPU (due to mapping), and you completely misunderstand how Hibernate works and how it makes your life simple. Working with entities among services is not a problem. You use DTOs only for the outside API of your application or for some kind of post-process data (merging etc.). Hibernate offers you so much flexibility and programmers throw it away by mapping directly to DTO, losing dirty checking and smart persistence context syncing and so on. If someone needs a DTO, use projections instead. You will get much better results using them. I advise you to read thorben-janssen.com/object-mapper-....
really helpful thanks alot