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System Architecture Design References - Continued

9. Testing & Quality Assurance​

A. Testing Frameworks and Methodologies​

1. pytest Best Practices
   Description: Comprehensive guide to pytest testing
   URL: https://docs.pytest.org/en/latest/explanation/goodpractices.html
   Support: Testing strategy

2. Integration Testing Patterns
   Description: Patterns for service integration testing
   URL: https://martinfowler.com/articles/integration-test-pyramid.html
   Support: Test architecture

3. Performance Testing Guide
   Description: Systematic approach to performance testing
   URL: https://k6.io/docs/testing-guides/api-load-testing/
   Support: Load testing strategy

B. Code Quality Tools​

1. Python Code Quality Guide
   Description: Python code quality standards and tools
   URL: https://google.github.io/styleguide/pyguide.html
   Support: Code standards

2. Static Analysis Tools
   Description: Comprehensive guide to Python static analysis
   URL: https://pylint.readthedocs.io/en/latest/user_guide/
   Support: Code quality

Context​

The current situation requires a decision because:

  • Requirement 1
  • Constraint 2
  • Need 3

Status​

Accepted | YYYY-MM-DD

10. System Architecture Patterns​

A. Clean Architecture Resources​

1. Clean Architecture in Python
   Description: Implementation guide for Clean Architecture
   URL: https://www.cosmicpython.com/book/preface.html
   Support: Architecture patterns

2. Domain-Driven Design Patterns
   Description: DDD implementation patterns
   URL: https://www.domainlanguage.com/ddd/reference/
   Support: Domain modeling

3. Event-Driven Architecture
   Description: Event-driven system patterns
   URL: https://www.confluent.io/blog/designing-event-driven-systems/
   Support: Event architecture

B. Microservices Patterns​

1. Microservices Communication
   Description: Inter-service communication patterns
   URL: https://microservices.io/patterns/communication-style/
   Support: Service architecture

2. Service Mesh Implementation
   Description: Service mesh patterns and practices
   URL: https://istio.io/latest/docs/ops/best-practices/security/
   Support: Service communication

11. Performance Optimization​

A. Database Optimization​

1. PostgreSQL Query Optimization
   Description: Advanced query optimization techniques
   URL: https://www.postgresql.org/docs/current/performance-tips.html
   Support: Query performance

2. Index Design Patterns
   Description: Database indexing strategies
   URL: https://use-the-index-luke.com/
   Support: Index optimization

3. Connection Pooling
   Description: Database connection management
   URL: https://github.com/brettwooldridge/HikariCP
   Support: Connection management

B. Caching Strategies​

1. Multi-Level Caching
   Description: Implementing layered cache strategies
   URL: https://docs.microsoft.com/en-us/azure/architecture/patterns/cache-aside
   Support: Cache architecture

2. Cache Coherence Patterns
   Description: Maintaining cache consistency
   URL: https://redis.io/topics/cluster-spec
   Support: Cache consistency

12. Security Implementation​

A. API Security​

1. OAuth 2.0 Implementation
   Description: OAuth 2.0 with FastAPI
   URL: https://fastapi.tiangolo.com/tutorial/security/oauth2-jwt/
   Support: Authentication

2. Rate Limiting Patterns
   Description: API rate limiting implementation
   URL: https://cloud.google.com/architecture/rate-limiting-strategies-patterns
   Support: API protection

B. Data Security​

1. Encryption at Rest
   Description: Data encryption implementation
   URL: https://docs.microsoft.com/en-us/azure/security/fundamentals/encryption-atrest
   Support: Data security

2. Transport Security
   Description: Secure communication patterns
   URL: https://docs.microsoft.com/en-us/azure/security/fundamentals/network-overview
   Support: Network security

13. Scalability Resources​

A. Horizontal Scaling​

1. Kubernetes Scaling
   Description: Kubernetes scaling patterns
   URL: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/
   Support: Container scaling

2. Database Scaling
   Description: PostgreSQL scaling strategies
   URL: https://www.postgresql.org/docs/current/high-availability.html
   Support: Data scaling

B. Performance Testing​

1. Load Testing Framework
   Description: Comprehensive load testing guide
   URL: https://locust.io/documentation/
   Support: Performance testing

2. Monitoring and Profiling
   Description: Application performance monitoring
   URL: https://docs.python.org/3/library/profile.html
   Support: Performance analysis

14. Development Operations​

A. CI/CD Implementation​

1. GitHub Actions
   Description: Automated workflow patterns
   URL: https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions
   Support: Automation

2. Deployment Strategies
   Description: Safe deployment patterns
   URL: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/
   Support: Deployment

B. Monitoring Setup​

1. Prometheus Configuration
   Description: Metrics collection setup
   URL: https://prometheus.io/docs/prometheus/latest/configuration/configuration/
   Support: Monitoring

2. Grafana Dashboard
   Description: Visualization configuration
   URL: https://grafana.com/tutorials/
   Support: Metrics visualization

Would you like me to:

  1. Add more specific technical references?
  2. Include implementation guides?
  3. Add case studies?
  4. Expand any particular section?