Architecture & Systems
Software Architecture
Architectural patterns, principles, and design decisions for scalable systems
Software Architecture
Software architecture defines the high-level structure of software systems and the discipline of creating such structures.
Architectural Patterns
Layered Architecture
Presentation Layer
↓
Business Logic Layer
↓
Data Access Layer
↓
Database
Microservices
- Independent, deployable services
- Single responsibility
- Decentralized data management
- Service communication via APIs
Event-Driven Architecture
- Asynchronous communication
- Loose coupling
- Event producers and consumers
- Message queues/brokers
Hexagonal Architecture (Ports & Adapters)
- Core business logic isolated
- External dependencies as adapters
- Testable and flexible
Design Principles
SOLID Principles
- Single Responsibility Principle
- Open/Closed Principle
- Liskov Substitution Principle
- Interface Segregation Principle
- Dependency Inversion Principle
DRY (Don't Repeat Yourself)
Avoid code duplication through abstraction and reusability.
KISS (Keep It Simple, Stupid)
Favor simplicity over complexity.
YAGNI (You Aren't Gonna Need It)
Don't add functionality until it's necessary.
Architecture Decision Records (ADRs)
Document important architectural decisions:
- Context: What is the issue?
- Decision: What did we decide?
- Consequences: What are the impacts?
Common Patterns
Repository Pattern
Abstracts data access logic.
Factory Pattern
Creates objects without specifying exact class.
Observer Pattern
Defines subscription mechanism for events.
Strategy Pattern
Defines family of algorithms, makes them interchangeable.
Trade-offs
Every architectural decision involves trade-offs:
- Performance vs Scalability
- Consistency vs Availability (CAP theorem)
- Complexity vs Flexibility
- Cost vs Quality
Documentation
- Architecture diagrams (C4 model)
- Component relationships
- Data flow diagrams
- Deployment architecture