From Monolith to Microservices: My ShopEase Backend Journey
When I started building ShopEase, my main goal was to learn Java backend development by building a real e-commerce application instead of learning concepts only through small examples.
As the project grew, the backend started containing multiple business responsibilities such as products, users, authentication, carts, orders, payments, and more.
At that point, I started exploring an important question
What happens when a growing monolithic application needs to become more scalable and maintainable?
That led me to Microservices Architecture.
What I Had Before
ShopEase initially followed a monolithic backend architecture.
Different business modules were part of the same Spring Boot application:
ShopEase Backend
│
├── User
├── Product
├── Cart
├── Order
├── Authentication
├── Payment
└── Other Modules
Everything was running inside one application.
This architecture is perfectly useful while developing and learning, but as an application grows, managing every business domain inside one large codebase can become increasingly difficult.
So I decided to start exploring a microservices-based architecture.
Starting the Microservices Migration
For Module 30, I started transforming ShopEase from a monolithic backend toward a Microservices Architecture.
My current progress is:
30.1 Microservices Architecture ✅
30.2 Product Service ✅
30.3 User Service ⏳
The first major step was separating the Product Service from the main backend.
Product Service
The Product Service is responsible for product-related functionality.
Instead of keeping product functionality tightly coupled with every other business module, it can now be treated as an independent service.
Conceptually:
ShopEase
│
┌────────┴────────┐
│ │
Product Service User Service
│
Product DB
The idea is that each service should have a clearly defined responsibility.
For example:
Product Service
Products Categories Product Details Product Operations
while the future User Service will handle responsibilities related to users.
Why Microservices?
The biggest thing I'm learning is that microservices are not simply about splitting one project into multiple folders.
The architecture introduces completely different engineering considerations:
Service boundaries
Independent deployment
Service-to-service communication
Data ownership
Failure handling
Scalability
API design
Authentication between services
Monitoring and debugging
This is one of the reasons I wanted to implement the architecture inside ShopEase rather than learning it only theoretically.
What I Learned So Far
One important lesson from this module is that architecture changes introduce new problems.
In a monolith, calling another module may simply mean calling a Java method.
With microservices, that communication may happen through a network request.
That changes the way we think about:
Method Call
↓
HTTP/API Communication
↓
Another Service
This introduces concepts that I am now starting to explore more deeply.
What's Next?
The next step in my ShopEase microservices journey is:
Product Service ✅
↓
User Service ⏳
↓
Service Communication
↓
API Gateway
↓
Service Discovery
↓
Event-Driven Architecture
↓
Kafka / RabbitMQ
These are the areas I want to explore as the architecture evolves.
Why I'm Building This
ShopEase started as a project to learn Java backend development.
Now it has become a practical way for me to understand how real-world backend systems evolve.
Instead of only learning:
"What is Microservices Architecture?"
I'm trying to understand:
"How would I actually migrate an existing application toward microservices?"
That difference is making the learning experience much more practical.
Final Thoughts
The biggest takeaway from this module is that building a system teaches you things that theory alone cannot fully explain.
Every new architectural decision introduces new challenges, and solving those challenges is becoming part of my learning process.
ShopEase is still evolving, and I am documenting the journey as I continue learning Java, Spring Boot, backend engineering, and system design.
Learn → Build → Solve → Improve. 🚀

Top comments (0)