Architectural Patterns

noreply@example.com (AG Sayyed) — Fri, 14 Feb 2025 03:57:55 +0000

Architectural patterns are a set of reusable solutions to common software design problems. They help in organizing and structuring software systems, making them more maintainable, scalable, and efficient. This document provides an overview of the most common architectural patterns used in software development.

Architectural Patterns in Software

An architectural pattern is a repeatable solution to a problem in software architecture.
Patterns highlight common internal elements and structures of a software system.
Different architecture patterns may share related characteristics.

Common Architectural Patterns

2-Tier Architecture (Client-Server)

A computing model where the server hosts, delivers, and manages most of the resources and services delivered to the client.
The interface resides on the client machine and makes requests to a server for data or services.
Example: Text messaging apps where the client initiates a request to send a message through a server, which responds by sending the message to another client. This type of architecture usually have more than one client computer connected to a single server over the network connection.

3-Tier Architecture Or (N-Tier)

The most common software architecture, composed of several horizontal tiers that function together as a single unit of software.
Tiers communicate only with adjacent tiers.
Logical tiers:
- Presentation tier (user interface)
- Application tier (business logic)
- Data tier (data storage and management)
Example: Many web applications use this pattern, with a web server providing the user interface, an application server processing user inputs, and a database server managing data.

Peer-to-Peer (P2P) Architecture

A decentralized network of nodes that act as both clients and servers.
Workload is distributed among nodes, which share resources like processing power, disk storage, or network bandwidth.
Example: Cryptocurrencies like Bitcoin and Ethereum, where each computer in the blockchain acts as both a server and a client.

Event-Driven Architecture

Focuses on producers and consumers of events.
Producers trigger events, which are routed to consumers for processing.
Components are loosely coupled, making this pattern suitable for modern, distributed systems.
Example: Ride-sharing apps like Lyft and Uber, where customer ride requests are routed to drivers.

Microservices Architecture

Breaks application functionality into modular components (services) that communicate via APIs.
API Gateway routes client requests to services, while orchestration handles communication between services.
Example: Social media platforms, where services like user accounts, friend requests, ad recommendations, and content display operate as separate microservices.

 graph TD
	 A[API Gateway] --> B[User Service]
	 A --> C[Product Service]
	 A --> D[Order Service]
	 B --> E[(User DB)]
	 C --> F[(Product DB)]
	 D --> G[(Order DB)]
	 B --> H[Auth Service]
	 D --> I[Payment Service]

When to use

Complex applications requiring frequent updates
Need for independent scaling of components
Multiple development teams working concurrently
Requirement for mixed technology stacks
Trade-offs:
- Easier maintenance and deployment
- Improved fault tolerance
- Technology flexibility
- Increased operational complexity
- Network latency challenges
- Distributed transaction management

✅ Easier maintenance and deployment ✅ Improved fault tolerance ✅ Technology flexibility

Architecture-Pattern on Ghafoor's Personal Blog