- Understand OOP, collections, exceptions, and file handling.
- Create Account
- Deposit / Withdraw
- Transfer money
- Transaction history
- Persist data to file (serialization or file I/O)
- OOP (encapsulation, abstraction)
-
List,Map - Exception handling
- File I/O
- equals/hashCode
- Basic concurrency (optional: simulate concurrent transactions)
- Make it thread-safe
- Add logging
Understand internal working of collections.
- Custom HashMap
- Custom Stack
- Custom Queue
- LRU Cache
- Hashing
- Collision handling
- Linked list
- Generics
- Time complexity
If you cannot implement HashMap, you do not understand Java deeply.
Master concurrency.
- Read large file
- Process lines in parallel
- Aggregate results
- Benchmark single-thread vs multi-thread
- Thread
- ExecutorService
- Callable/Future
- Synchronization
- ConcurrentHashMap
- Race conditions
Use:
- Spring Boot
- MySQL or PostgreSQL
- Spring Data JPA
- Register/Login
- JWT Authentication
- CRUD Users
- Pagination
- Sorting
- Validation
- Global Exception Handling
- Password hashing
- Role-based authorization
- Unit tests
- REST APIs
- DTO pattern
- Repository pattern
- Transactions
- Indexing
Deploy it (mandatory):
- Amazon Web Services
- Render
- Railway
- Products
- Cart
- Orders
- Payment simulation
- Inventory management
- Caching (Redis)
- Optimistic locking
- Order state machine
- Rate limiting
- API documentation
Use:
- Spring Security
- Swagger
- Transactions
- ACID
- Race conditions
- DTO mapping
- Service layer separation
Break E-commerce into:
- User Service
- Product Service
- Order Service
- Payment Service
- API Gateway
- Service-to-service communication
- Circuit breaker
- Logging
- Centralized config
Containerize using:
- Docker
- Distributed systems
- Service discovery
- Fault tolerance
- Horizontal scaling
- Generate short URLs
- Redirection
- Analytics
- Rate limiting
- Distributed ID generation
- Caching layer
- Load balancing simulation
Concepts:
- CAP theorem
- Consistency models
- Database sharding
- Index design
Choose one:
- WebSocket
- Message persistence
- Group chat
- Typing indicators
- Order matching engine
- Priority queue
- Concurrent order processing
- Worker nodes
- Job queue
- Retry mechanism
These projects differentiate you from average candidates.
Apply to one project:
- CI/CD pipeline
- Dockerize app
- Basic Kubernetes deployment
- Logging and monitoring
- Clean architecture
- Proper package structure
- Unit + integration tests
- Meaningful commit history
- Performance consideration
- Deployment experience
Work in this order:
- Core Java projects
- Concurrency project
- Spring Boot CRUD
- Full business system
- Microservices
- System design implementation
- Stage 1–2: 2 months
- Stage 3–4: 3 months
- Stage 5–6: 2 months
- Stage 7–8: 1–2 months
Total: 8–9 months serious effort.