Introduction
Brief overview of backend development and why advanced concepts are essential for scalable, maintainable, and secure systems.
Backend Architecture and Design Patterns
Layered Architecture: Separation of presentation, business logic, and data access layers. Example: MVC. [1][2] Microservices Architecture: Independent services for scalability. Example: Netflix. [1][2] Authentication and Security
JWT for Stateless Authentication. Example: Auth0. [3][4] OAuth and OpenID Connect for Delegated Authorization. Example: Google Login. [3][4] Data Transfer Objects (DTOs)
Use in decoupling service and data layers. Example: Transform database entities for client use. [1] Structuring/Organizing the Backend
Modular Architecture: Encapsulation via modules/packages. Example: Node.js npm packages. [5] Service Layer: Handles business logic. [5] API Versioning
URI and Header-Based Strategies. Example: GitHub API. [6] Best Practices
Logging and Monitoring. Example: ELK Stack. [7][8] Error Handling and Caching. Example: Redis. [7][8] Object-Relational Mapping (ORM)
Tools for interacting with databases using objects. Example: Django ORM. [9] DTOs vs. Models/Entities
Differences between transferring data and internal representation. [1] Onion Architecture
Separation of concerns with core business logic at the center. Example: Financial applications. [2][5] Vertical Slice Architecture
Feature-focused encapsulation of UI, logic, and data. Example: E-commerce order processing. [10] CQRS (Command Query Responsibility Segregation)
Separate read and write models for optimization. Example: Banking systems. [2] Orthogonality
Independent modules for maintainability and reusability. Example: Separation of UI and business logic. [11] Hexagonal Architecture (Ports and Adapters)
Core logic with flexible adapters for external systems. Example: Payment gateways. [2][12] Additional Concepts and Patterns
Event-Driven Architecture. Example: Kafka. [12] Domain-Driven Design (DDD). Example: Bounded contexts in billing systems. [2] Serverless Architecture. Example: AWS Lambda. [13] Twelve-Factor App Methodology. [14] Load Balancing and Failover Strategies. Example: AWS Elastic Load Balancing. [13] API Gateways. Example: Kong. [13]
Conclusion
Wrap up key points and emphasize the importance of continued learning in backend development.
References
CHATGPT 10 MÁS IMPORTANTES:
"Learning Domain-Driven Design" - CONFIRMADO "Patterns of Enterprise Application Architecture" Richardson, C. (2019). Microservice Patterns: With Examples in Java. New York: Manning Publications. "Microsoft Application Architecture Guide, 2nd Edition". https://learn.microsoft.com/en-us/previous-versions/msp-n-p/ff650706(v=pandp.10)
"Designing Data-Intensive Applications" - DESESTIMADO "Clean Architecture" - DESESTIMADO (revisar nuevamente por onion architecture y structure/organization of backend) "Node.js Design Patterns" - CONFIRMADO "Flask Web Development" - CONFIRMADO "The Art of Scalability" "Building Microservices" "Django for Professionals" "Python Asyncio Jump-Start" "Professional Node.js: Building JavaScript Based Scalable Software" "Security Engineering"
"Domain-Driven Design: Tackling Complexity in the Heart of Software" by Eric Evans "Distributed Systems: Principles and Paradigms" "High Performance Browser Networking" "Site Reliability Engineering: How Google Runs Production Systems" by Niall Richard Murphy et al. "Pro Hibernate and MongoDB" by Anghel Leonard "The Pragmatic Programmer: Your Journey to Mastery" by Andrew Hunt and David Thomas "Implementing Domain-Driven Design" by Vaughn Vernon
Articles and blog posts by Jimmy Bogard
"API Security in Action" by Neil Madden "OAuth 2 in Action" by Justin Richer and Antonio Sanso "RESTful Web APIs" by Leonard Richardson and Mike Amundsen "The Art of Monitoring" by James Turnbull
BUSCAR:
Arquitectura Hexagonal (https://www.youtube.com/live/k0ykTxw7s0Y?si=tdGHuTLEU6MrvPqv) https://github.com/donnemartin/system-design-primer
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