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.

πŸ“ Architecture Categories

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

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 pipeline patterns and storage strategies for modern data systems.

  • ETL vs ELT Pipelines - Data processing approaches

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

Communication and integration strategies for distributed systems.

  • Event-Driven Architecture - Asynchronous system communication

πŸ›‘οΈ Security Architecture

Security patterns and design principles for building secure systems.

  • Web Application Firewalls - Layer 7 application protection

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 architecture patterns for leveraging cloud computing capabilities.

  • Coming Soon: Serverless, Container, and DevOps 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

Last updated