Architecture & Patterns

This section explores software architecture patterns and design principles that are essential for building scalable, maintainable, and robust systems. Learn about modern architectural approaches and their practical implementations.

📁 Architecture Categories

🏗️ Application Architecture

Core application design patterns and principles for building scalable software systems.

• Microservices Architecture - Service decomposition and design

• Domain-Driven Design - Business-aligned software architecture

• MVC Without View Pattern - Backend-focused architectural approach

📚 Software Architecture 101

Comprehensive guide to building production-ready distributed systems using a multi-tenant POS system with 6 microservices (Python/FastAPI). Learn architecture fundamentals through real-world patterns:

• Modular Monolith to Microservices - Architecture evolution and service boundaries

• Multi-Tenant Patterns - Tenant isolation and data segregation

• Service Layer Architecture - Domain, Application, and Infrastructure layers

• API Design & Contracts - REST with FastAPI and OpenAPI

• Event-Driven Architecture - Publisher/subscriber patterns and event versioning

• Caching & Session Management - Redis patterns and cache invalidation

• Integration & Orchestration - Service coordination and parallel execution

• Resilience & Fault Tolerance - Circuit breakers, retry logic, and graceful degradation

• Observability & Monitoring - Distributed tracing, structured logging, and metrics

🎨 Application Design Patterns

Fundamental design patterns for object creation, structure, and behavior.

• Creational Patterns - Object creation mechanisms (Singleton, Factory, Builder, etc.)

• Coming Soon: Structural and Behavioral patterns

📊 Data Architecture

Data pipeline patterns and storage strategies for modern data systems.

• ETL vs ELT Pipelines - Data processing approaches

• Medallion Architecture - Bronze-Silver-Gold data lakehouse pattern

🔗 Integration Patterns

Communication and integration strategies for distributed systems.

• Event-Driven Architecture - Asynchronous system communication

🛡️ Security Architecture

Security patterns and design principles for building secure systems.

• Web Application Firewalls - Layer 7 application protection

🧪 Testing Patterns

Testing architecture patterns for building robust, reliable software systems.

• Testing Pyramid for Microservices - Comprehensive testing strategy for distributed systems

• Chaos Engineering - Netflix Chaos Monkey principles and AWS Fault Injection Simulator

☁️ Cloud-Native Patterns

Cloud-native architecture patterns for leveraging cloud computing capabilities.

• Coming Soon: Serverless, Container, and DevOps patterns

⚡ Performance Patterns

Performance optimization patterns for building high-performance systems.

• Coming Soon: Caching, Load Balancing, and Database optimization patterns

What You'll Learn

• Scalable System Design - Patterns for handling growth and complexity

• Distributed System Patterns - Communication and coordination strategies

• Data Engineering Architectures - Modern data processing and storage patterns

• Security-First Design - Building security into system architecture

• Cloud-Native Patterns - Leveraging cloud services effectively

• Integration Strategies - Connecting systems and services reliably

Key Principles

• Separation of Concerns - Clear boundaries between different responsibilities

• Scalability - Design systems that can grow with demand

• Resilience - Build fault-tolerant and self-healing systems

• Security - Implement defense-in-depth strategies

• Maintainability - Create systems that are easy to understand and modify

• Performance - Optimize for speed and efficiency