155 lines
5.0 KiB
Markdown
155 lines
5.0 KiB
Markdown
# Python Backend Architecture Review Checklist
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This checklist serves as a quick reference for conducting comprehensive architecture reviews.
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## System Architecture
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- [ ] Architecture style matches scale and complexity
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- [ ] Service boundaries are well-defined
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- [ ] Communication patterns are appropriate
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- [ ] No unnecessary over-engineering
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- [ ] Single points of failure identified and addressed
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- [ ] Dependency management is clear
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- [ ] Framework choice is justified (FastAPI/Django/Flask/etc.)
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- [ ] Async patterns are properly utilized where needed
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## Database Architecture
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- [ ] Database type selection is appropriate
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- [ ] Schema is properly normalized/denormalized
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- [ ] Indexes are strategically placed
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- [ ] Sharding/partitioning strategy exists if needed
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- [ ] Read replicas planned for scale
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- [ ] Caching layer is implemented
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- [ ] Connection pooling is configured
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- [ ] N+1 query issues are prevented
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- [ ] ORM choice is appropriate
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- [ ] Migration strategy is defined
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- [ ] Backup and DR plans exist
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## API Design
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- [ ] API design pattern is consistent (REST/GraphQL/gRPC)
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- [ ] Endpoints follow naming conventions
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- [ ] Versioning strategy is defined
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- [ ] Authentication/authorization is implemented
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- [ ] Rate limiting exists
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- [ ] API documentation is auto-generated
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- [ ] Error handling is consistent
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- [ ] Pagination is implemented
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- [ ] Input validation uses Pydantic or similar
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- [ ] OpenAPI/Swagger documentation exists
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## Security
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- [ ] Authentication mechanism is secure (JWT/OAuth2)
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- [ ] Authorization model is well-defined (RBAC/ABAC)
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- [ ] CORS is properly configured
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- [ ] CSRF protection is enabled where needed
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- [ ] Data is encrypted in transit (HTTPS/TLS)
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- [ ] Data is encrypted at rest where needed
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- [ ] Secrets management solution exists
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- [ ] SQL injection is prevented (parameterized queries)
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- [ ] XSS protections are in place
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- [ ] Security headers are configured
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- [ ] Dependency scanning is automated
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- [ ] Password hashing uses bcrypt/argon2
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- [ ] Audit logging is implemented
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- [ ] Rate limiting prevents abuse
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- [ ] Input sanitization is thorough
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## Scalability & Performance
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- [ ] Scaling strategy is defined (horizontal/vertical)
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- [ ] Load balancer is configured
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- [ ] Auto-scaling rules exist
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- [ ] Caching strategy is multi-layered
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- [ ] Background jobs use queue system (Celery/RQ)
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- [ ] Long-running tasks are async
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- [ ] Database connection pooling is optimized
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- [ ] ASGI server is production-ready
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- [ ] GIL limitations are addressed
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- [ ] Performance monitoring is in place
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- [ ] Load testing has been conducted
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## Observability
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- [ ] Structured logging is implemented
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- [ ] Log aggregation is configured
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- [ ] Metrics are collected (Prometheus/StatsD)
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- [ ] Distributed tracing exists (OpenTelemetry)
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- [ ] Error tracking is configured (Sentry)
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- [ ] Health check endpoints exist
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- [ ] Alerting rules are defined
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- [ ] Performance baselines are established
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- [ ] Business metrics are tracked
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- [ ] Dashboards are created
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## Deployment & Infrastructure
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- [ ] Dockerfile is optimized (multi-stage)
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- [ ] Container orchestration is configured
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- [ ] CI/CD pipeline is automated
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- [ ] Environment parity exists (dev/staging/prod)
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- [ ] Infrastructure as Code is used
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- [ ] Deployment strategy is safe (blue-green/canary)
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- [ ] Rollback procedure is defined
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- [ ] Configuration is externalized
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- [ ] Secrets are managed securely
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- [ ] Dependencies are pinned and managed (Poetry/PDM)
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## Code Organization
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- [ ] Project structure is clear and logical
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- [ ] Module boundaries are well-defined
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- [ ] No circular dependencies exist
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- [ ] Dependency injection is used appropriately
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- [ ] Configuration management is centralized
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- [ ] Type hints are used throughout
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- [ ] Tests are well-organized (pytest)
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- [ ] Code follows PEP 8 standards
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- [ ] Linting/formatting is automated (Ruff/Black)
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## Resilience
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- [ ] Retry logic exists for external calls
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- [ ] Circuit breakers protect external services
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- [ ] Timeouts are configured appropriately
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- [ ] Graceful degradation is implemented
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- [ ] Error handling is consistent
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- [ ] Dead letter queues exist
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- [ ] Bulkhead patterns separate concerns
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- [ ] Rate limiting protects resources
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## Testing
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- [ ] Unit tests exist (>80% coverage)
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- [ ] Integration tests cover critical paths
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- [ ] API tests validate contracts
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- [ ] Load tests verify performance
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- [ ] Security tests check vulnerabilities
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- [ ] Test fixtures are reusable
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- [ ] Mocking is used appropriately
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- [ ] CI runs tests automatically
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## Documentation
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- [ ] API documentation is complete
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- [ ] Architecture diagrams exist
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- [ ] Setup instructions are clear
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- [ ] Configuration is documented
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- [ ] Deployment process is documented
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- [ ] Code has docstrings
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- [ ] README is comprehensive
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- [ ] Contributing guidelines exist
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## Compliance & Standards
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- [ ] GDPR compliance addressed if applicable
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- [ ] HIPAA compliance addressed if applicable
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- [ ] SOC 2 requirements met if applicable
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- [ ] Data retention policies defined
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- [ ] Privacy policies implemented
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- [ ] Audit trails exist
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- [ ] 12-Factor App principles followed
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