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Best Practices for Pattern Selection

Selecting Appropriate Patterns

  • Understand the problem: Clearly identify the specific challenge before choosing a pattern
  • Consider trade-offs: Each pattern introduces complexity and trade-offs
  • Combine patterns: Many patterns work better together (Circuit Breaker + Retry, CQRS + Event Sourcing)
  • Start simple: Don't over-engineer; apply patterns when the need is clear
  • Platform-specific: Consider Azure services that implement patterns natively

Well-Architected Framework Alignment

Map selected patterns to Well-Architected Framework pillars:

  • Reliability: Circuit Breaker, Bulkhead, Retry, Health Endpoint Monitoring
  • Security: Federated Identity, Valet Key, Gateway Offloading, Quarantine
  • Cost Optimization: Compute Resource Consolidation, Static Content Hosting, Throttling
  • Operational Excellence: External Configuration Store, Sidecar, Deployment Stamps
  • Performance Efficiency: Cache-Aside, CQRS, Materialized View, Sharding

Pattern Documentation

When implementing patterns, document:

  • Which pattern is being used and why
  • Trade-offs accepted
  • Configuration and tuning parameters
  • Monitoring and observability approach
  • Failure scenarios and recovery procedures

Monitoring Patterns

  • Implement comprehensive observability for all patterns
  • Track pattern-specific metrics (circuit breaker state, cache hit ratio, queue depth)
  • Use distributed tracing for patterns involving multiple services
  • Alert on pattern degradation (circuit frequently open, high retry rates)