Architectural Patterns in Software

savitry.in
0

 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?

  • Definition: An architectural pattern describes a general, reusable solution to a commonly occurring problem in software architecture.

  • It provides a blueprint for system organization.

  • 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:

  • Presentation (UI)

  • Business Logic

  • Persistence

  • Database

💡 Example:

A Java Spring MVC application:

Controller -> Service -> Repository -> Database

✅ Used in:

  • Enterprise apps

  • Web applications


2. Client-Server Architecture

Divides system into clients (requesters) and servers (providers).

💡 Example:

  • A Java client using HTTPClient to call a REST API server

  • Web browser (client) + backend server (Spring Boot)

✅ Used in:

  • Web applications

  • Mobile apps


3. Microservices Architecture

Breaks an app into a set of small, independent services that communicate over HTTP/gRPC/message queues.

💡 Example:

  • In Java, services built using Spring Boot, communicating via REST APIs or Kafka

Auth Service <---> Order Service <---> Payment Service

✅ Used in:

  • Large-scale systems

  • Cloud-native apps


4. Event-Driven Architecture

Components communicate through events, enabling decoupled and reactive systems.

💡 Example:

  • Kafka + Spring Boot event consumers/producers

User registers --> Event published --> EmailService picks it up and sends email

✅ Used in:

  • Systems needing high decoupling or real-time response

  • Analytics platforms


5. Model-View-Controller (MVC)

Separates concerns between data (Model), UI (View), and input logic (Controller)

💡 Example:

  • Spring MVC or JavaFX app

User -> Controller -> Model -> View

✅ Used in:

  • Web frameworks

  • UI-heavy applications


6. Service-Oriented Architecture (SOA)

A system where services communicate over a network using well-defined interfaces.

💡 Example:

  • Java services using JAX-WS (SOAP) or JAX-RS (REST)

✅ Used in:

  • Enterprise integrations

  • Legacy systems transitioning to microservices


7. Broker Architecture

Middleware (broker) coordinates communication between components.

💡 Example:

  • Java RMI or Apache ActiveMQ, where the broker routes requests to services.

✅ Used in:

  • Distributed systems

  • Pub/Sub messaging


8. Peer-to-Peer (P2P)

No centralized server. All nodes act as both clients and servers.

💡 Example:

  • Java-based file-sharing app using sockets

✅ Used in:

  • Blockchain

  • File-sharing apps


9. Pipe-and-Filter

Data is transformed step by step through a series of filters connected by pipes.

💡 Example:

  • Data processing pipeline in Java Stream API

data.stream()
    .filter(x -> x > 10)
    .map(x -> x * 2)
    .forEach(System.out::println);

✅ Used in:

  • Data processing

  • 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:

  • More specialized and sophisticated

  • Often used in high-availability, cloud-native, real-time, or enterprise-grade systems

  • 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:

  • Complex domains where read/write loads are uneven.

  • Example: Event-sourced order system

✅ Java Example:

  • Spring Boot with separate read/write services

  • Axon Framework


2. Event Sourcing

Stores state changes as a sequence of events, not just the latest state.

💡 Use Case:

  • Audit logs, history tracking, rollback

  • Financial transactions

✅ Java Example:

  • Kafka event store + custom projection logic

  • 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:

  • E-commerce: order, payment, shipment across services

✅ Java Example:

  • Spring Boot + Kafka + Saga Orchestrator

  • 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:

  • Modernizing a legacy Java EE monolith

  • Gradual migration to Spring Boot microservices

✅ Java Example:

  • 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:

  • Isolate domain logic

  • Make system testable, adaptable

✅ Java Example:

  • 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:

  • Rich domain-driven design

  • Enterprise Java apps


7. Space-Based Architecture

Distributes data and processing across multiple memory-based nodes to handle massive parallelism.

💡 Use Case:

  • Real-time stock trading, multiplayer games

✅ Java Example:

  • GigaSpaces, Hazelcast IMDG


8. Serverless Architecture

Uses function-as-a-service (FaaS) platforms where individual functions scale automatically.

💡 Use Case:

  • Lightweight background jobs, scheduled tasks

✅ Java Example:

  • 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:

  • Large microservice deployments needing observability

✅ Java-Compatible Tools:

  • Istio + Spring Boot microservices

  • 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

Post a Comment

0 Comments
* Please Don't Spam Here. All the Comments are Reviewed by Admin.
Post a Comment (0)
Our website uses cookies to enhance your experience. Learn More
Accept !