Architectural patterns in software are high-level reusable solutions to common problems in software architecture. They define the overall structure and interaction style between components of a system, helping ensure scalability, maintainability, and robustness.
🏛️ What are Architectural Patterns?
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Definition: An architectural pattern describes a general, reusable solution to a commonly occurring problem in software architecture.
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It provides a blueprint for system organization.
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They are agnostic to programming languages but implemented in code.
🔧 Common Architectural Patterns (with examples)
1. Layered Architecture (N-tier)
System is organized into layers with specific responsibilities.
🔹 Layers:
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Presentation (UI)
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Business Logic
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Persistence
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Database
💡 Example:
A Java Spring MVC application:
Controller -> Service -> Repository -> Database
✅ Used in:
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Enterprise apps
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Web applications
2. Client-Server Architecture
Divides system into clients (requesters) and servers (providers).
💡 Example:
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A Java client using HTTPClient to call a REST API server
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Web browser (client) + backend server (Spring Boot)
✅ Used in:
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Web applications
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Mobile apps
3. Microservices Architecture
Breaks an app into a set of small, independent services that communicate over HTTP/gRPC/message queues.
💡 Example:
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In Java, services built using Spring Boot, communicating via REST APIs or Kafka
Auth Service <---> Order Service <---> Payment Service
✅ Used in:
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Large-scale systems
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Cloud-native apps
4. Event-Driven Architecture
Components communicate through events, enabling decoupled and reactive systems.
💡 Example:
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Kafka + Spring Boot event consumers/producers
User registers --> Event published --> EmailService picks it up and sends email
✅ Used in:
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Systems needing high decoupling or real-time response
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Analytics platforms
5. Model-View-Controller (MVC)
Separates concerns between data (Model), UI (View), and input logic (Controller)
💡 Example:
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Spring MVC or JavaFX app
User -> Controller -> Model -> View
✅ Used in:
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Web frameworks
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UI-heavy applications
6. Service-Oriented Architecture (SOA)
A system where services communicate over a network using well-defined interfaces.
💡 Example:
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Java services using JAX-WS (SOAP) or JAX-RS (REST)
✅ Used in:
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Enterprise integrations
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Legacy systems transitioning to microservices
7. Broker Architecture
Middleware (broker) coordinates communication between components.
💡 Example:
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Java RMI or Apache ActiveMQ, where the broker routes requests to services.
✅ Used in:
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Distributed systems
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Pub/Sub messaging
8. Peer-to-Peer (P2P)
No centralized server. All nodes act as both clients and servers.
💡 Example:
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Java-based file-sharing app using sockets
✅ Used in:
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Blockchain
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File-sharing apps
9. Pipe-and-Filter
Data is transformed step by step through a series of filters connected by pipes.
💡 Example:
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Data processing pipeline in Java Stream API
data.stream()
.filter(x -> x > 10)
.map(x -> x * 2)
.forEach(System.out::println);
✅ Used in:
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Data processing
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ETL pipelines
📌 Summary Table:
Pattern | Best For | Java Examples |
---|---|---|
Layered (N-tier) | Web/Enterprise apps | Spring MVC |
Client-Server | Web/mobile backend | REST APIs |
Microservices | Scalable systems | Spring Boot + Eureka |
Event-Driven | Asynchronous decoupled workflows | Kafka + Spring |
MVC | UI separation of concerns | JavaFX, Spring MVC |
SOA | Enterprise service integration | JAX-WS, JAX-RS |
Broker | Mediated communication | JMS, ActiveMQ |
P2P | Decentralized systems | Custom Java app |
Pipe-and-Filter | Stream data transformation | Java Streams |
Advanced architectural patterns go beyond foundational structures like MVC or layered architecture. They address complex, large-scale, and distributed system needs—such as scalability, availability, performance, and fault tolerance—common in modern cloud-native and enterprise applications.
🧠 What Are Advanced Architectural Patterns?
They are:
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More specialized and sophisticated
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Often used in high-availability, cloud-native, real-time, or enterprise-grade systems
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Focused on solving distributed system problems, resilience, and scalability
🔧 Examples of Advanced Architectural Patterns
1. CQRS (Command Query Responsibility Segregation)
Separates write (command) and read (query) responsibilities into different models.
💡 Use Case:
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Complex domains where read/write loads are uneven.
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Example: Event-sourced order system
✅ Java Example:
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Spring Boot with separate read/write services
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Axon Framework
2. Event Sourcing
Stores state changes as a sequence of events, not just the latest state.
💡 Use Case:
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Audit logs, history tracking, rollback
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Financial transactions
✅ Java Example:
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Kafka event store + custom projection logic
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Axon Framework or custom event handlers
3. Saga Pattern
Manages distributed transactions across microservices using a series of local transactions coordinated via events or commands.
💡 Use Case:
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E-commerce: order, payment, shipment across services
✅ Java Example:
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Spring Boot + Kafka + Saga Orchestrator
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Netflix Conductor or Camunda
4. Strangler Fig Pattern
Incrementally replace legacy systems by routing parts of traffic to the new system while the old system still runs.
💡 Use Case:
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Modernizing a legacy Java EE monolith
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Gradual migration to Spring Boot microservices
✅ Java Example:
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Using API Gateway (like Spring Cloud Gateway) to redirect specific routes to new microservices
5. Hexagonal Architecture (Ports & Adapters)
Separates core logic from the outside world using interfaces (ports) and implementations (adapters).
💡 Use Case:
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Isolate domain logic
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Make system testable, adaptable
✅ Java Example:
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Domain model interfaces + adapters (like REST or JPA)
6. Onion Architecture
Similar to Hexagonal, but layers center around the domain model, with dependencies always pointing inward.
💡 Use Case:
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Rich domain-driven design
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Enterprise Java apps
7. Space-Based Architecture
Distributes data and processing across multiple memory-based nodes to handle massive parallelism.
💡 Use Case:
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Real-time stock trading, multiplayer games
✅ Java Example:
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GigaSpaces, Hazelcast IMDG
8. Serverless Architecture
Uses function-as-a-service (FaaS) platforms where individual functions scale automatically.
💡 Use Case:
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Lightweight background jobs, scheduled tasks
✅ Java Example:
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Java functions in AWS Lambda, Azure Functions
9. Service Mesh
Manages microservice communication, security, and monitoring at the infrastructure level (outside app code).
💡 Use Case:
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Large microservice deployments needing observability
✅ Java-Compatible Tools:
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Istio + Spring Boot microservices
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Envoy as sidecar proxy
📌 Summary Table:
Pattern | Best For | Tools/Tech with Java |
---|---|---|
CQRS | Read/write separation | Axon, Spring Boot |
Event Sourcing | Immutable event history | Kafka, Axon |
Saga | Distributed transaction mgmt | Kafka, Camunda |
Strangler Fig | Legacy modernization | Spring Gateway |
Hexagonal/Onion | Domain-focused design | Clean Architecture |
Space-Based | In-memory parallel processing | Hazelcast, GigaSpaces |
Serverless | Auto-scaling function calls | AWS Lambda |
Service Mesh | Microservice traffic management | Istio, Linkerd |