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Design Principles & Laws

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Design Principles

Core principles and guidelines for system design and architecture

10
Design Principles
SOLID
fundamental

Single Responsibility Principle

A class should have only one reason to change

Each module, class, or function should have responsibility over a single part of the functionality provided by the software, and that responsibility should be entirely encapsulated by the class.

Benefits

  • Easier to understand and maintain
  • Reduced coupling between components
  • Better testability
  • Improved code reusability

Anti-Patterns to Avoid

  • ×God objects that do everything
  • ×Classes with multiple unrelated responsibilities
  • ×Mixing business logic with presentation logic

Examples

User authentication service only handles authentication
Email service only handles email operations
Database repository only handles data access

Practical Tips

  • 💡If you can describe a class with "and", it likely violates SRP
  • 💡Extract methods that have different reasons to change
  • 💡Use composition over inheritance

Related Principles:

Open/Closed PrincipleInterface Segregation
SOLID
fundamental

Open/Closed Principle

Software entities should be open for extension, but closed for modification

You should be able to extend a class's behavior without modifying it. This is achieved through abstraction and polymorphism.

Benefits

  • Reduced risk of breaking existing code
  • Better maintainability
  • Easier to add new features
  • Improved code stability

Anti-Patterns to Avoid

  • ×Modifying existing classes for new features
  • ×Large switch statements for type checking
  • ×Hardcoded dependencies

Examples

Plugin architecture with interfaces
Strategy pattern for different algorithms
Template method pattern for extensible workflows

Practical Tips

  • 💡Use interfaces and abstract classes
  • 💡Favor composition over inheritance
  • 💡Apply the Strategy pattern for varying algorithms

Related Principles:

Dependency InversionStrategy Pattern
Scalability
fundamental

Design for Horizontal Scaling

Build systems that can scale by adding more machines rather than upgrading existing ones

Horizontal scaling (scale-out) is generally more cost-effective and provides better fault tolerance than vertical scaling (scale-up).

Benefits

  • Better fault tolerance
  • More cost-effective scaling
  • No single point of failure
  • Easier capacity planning

Anti-Patterns to Avoid

  • ×Stateful services that can't be replicated
  • ×Shared mutable state between instances
  • ×Single database bottlenecks

Examples

Stateless microservices
Load-balanced web servers
Database sharding
Container orchestration

Practical Tips

  • 💡Design stateless services
  • 💡Use external storage for session data
  • 💡Implement proper load balancing

Related Principles:

Stateless DesignLoose Coupling
Architecture
fundamental

Loose Coupling

Minimize dependencies between system components

Components should be independent and communicate through well-defined interfaces, making the system more flexible and maintainable.

Benefits

  • Independent development and deployment
  • Better testability
  • Easier maintenance
  • Improved fault isolation

Anti-Patterns to Avoid

  • ×Tight coupling through shared databases
  • ×Direct object references across modules
  • ×Synchronous call chains

Examples

Microservices with API contracts
Event-driven architecture
Dependency injection
Message queues for async communication

Practical Tips

  • 💡Use interfaces and contracts
  • 💡Prefer composition over inheritance
  • 💡Implement proper abstraction layers

Related Principles:

High CohesionSeparation of Concerns
Reliability
important

Fail Fast

Detect and report failures as early as possible

Systems should validate inputs and detect error conditions early, rather than allowing invalid states to propagate through the system.

Benefits

  • Easier debugging and troubleshooting
  • Prevents data corruption
  • Better user experience
  • Reduced system complexity

Anti-Patterns to Avoid

  • ×Silently ignoring errors
  • ×Allowing invalid data to propagate
  • ×Late error detection

Examples

Input validation at API boundaries
Circuit breakers for external services
Health checks for system components
Early parameter validation

Practical Tips

  • 💡Validate inputs at system boundaries
  • 💡Use assertions for internal consistency
  • 💡Implement comprehensive monitoring

Related Principles:

Defense in DepthGraceful Degradation
Reliability
important

Graceful Degradation

System should continue to operate with reduced functionality when components fail

When parts of a system fail, the remaining parts should continue to function, possibly with reduced capabilities.

Benefits

  • Better user experience during failures
  • Improved system availability
  • Reduced impact of partial failures
  • Better fault tolerance

Anti-Patterns to Avoid

  • ×Complete system failure for minor issues
  • ×No fallback mechanisms
  • ×All-or-nothing functionality

Examples

Fallback to cached data when database is down
Basic functionality when external APIs fail
Read-only mode when write services are unavailable

Practical Tips

  • 💡Identify critical vs non-critical features
  • 💡Implement fallback mechanisms
  • 💡Design for partial functionality

Related Principles:

Fail FastCircuit Breaker Pattern
Security
fundamental

Principle of Least Privilege

Grant only the minimum access rights necessary for users and processes

Every program and user should operate using the least set of privileges necessary to complete the job.

Benefits

  • Reduced attack surface
  • Limited blast radius of security breaches
  • Better compliance with security standards
  • Easier access management

Anti-Patterns to Avoid

  • ×Admin access for regular operations
  • ×Overly broad permissions
  • ×Shared service accounts

Examples

Role-based access control (RBAC)
Database users with minimal permissions
API keys with specific scopes
Container security contexts

Practical Tips

  • 💡Regularly audit and review permissions
  • 💡Use role-based access control
  • 💡Implement just-in-time access

Related Principles:

Defense in DepthZero Trust
Security
important

Defense in Depth

Implement multiple layers of security controls

Use multiple security measures to protect information and systems, so if one layer fails, others continue to provide protection.

Benefits

  • Better protection against attacks
  • Reduced single points of failure
  • Compliance with security standards
  • Improved incident response

Anti-Patterns to Avoid

  • ×Relying on single security measure
  • ×Security as an afterthought
  • ×Perimeter-only security

Examples

Firewalls + WAF + Application security
Authentication + Authorization + Audit
Encryption at rest + in transit + in use

Practical Tips

  • 💡Layer different types of security controls
  • 💡Implement security at multiple levels
  • 💡Regular security assessments

Related Principles:

Least PrivilegeZero Trust
Performance
important

Effective Caching Strategy

Cache data at appropriate levels to improve system performance

Implement caching at multiple levels (browser, CDN, application, database) to reduce latency and improve user experience.

Benefits

  • Reduced latency
  • Lower server load
  • Better user experience
  • Cost savings on infrastructure

Anti-Patterns to Avoid

  • ×No caching strategy
  • ×Cache invalidation problems
  • ×Over-caching leading to stale data

Examples

Browser caching for static assets
CDN for global content distribution
Application-level caching with Redis
Database query result caching

Practical Tips

  • 💡Cache at multiple levels
  • 💡Implement proper cache invalidation
  • 💡Monitor cache hit ratios

Related Principles:

Performance OptimizationScalability
Data
fundamental

Data Consistency

Ensure data remains accurate and consistent across the system

Maintain data integrity through proper transaction management, consistency models, and validation rules.

Benefits

  • Reliable business operations
  • Better user trust
  • Compliance with regulations
  • Easier debugging and maintenance

Anti-Patterns to Avoid

  • ×Ignoring data consistency requirements
  • ×No transaction management
  • ×Inconsistent validation rules

Examples

ACID transactions for critical operations
Eventual consistency for distributed systems
Data validation at multiple layers
Saga pattern for distributed transactions

Practical Tips

  • 💡Choose appropriate consistency model
  • 💡Implement proper validation
  • 💡Use transactions for critical operations

Related Principles:

ACID PropertiesCAP Theorem

Design Principles Summary

6
fundamental Principles
4
important Principles
0
recommended Principles

Application Strategy: Start with Fundamental principles as they form the foundation of good system design. Important principles should be applied in most projects. Recommended principles provide additional value in specific contexts.