Rationale:
Flask: Lightweight, easy to understand, well-documented Gunicorn: Production-ready, handles multiple workers, battle-tested Alternative considered: FastAPI - faster but adds complexity Trade-off: Simplicity over raw performance
Why PostgreSQL? Decision: Use PostgreSQL as primary database
Rationale:
ACID compliance for data integrity Excellent Peewee ORM support Reliability and data durability Alternative considered: SQLite (not suitable for concurrent access) Why Redis? Decision: Add Redis for caching layer
Rationale:
Fast in-memory storage for frequently accessed data Session storage capability Rate limiting support Alternative considered: Memcached (Redis has more features) Status: Infrastructure ready, caching implementation pending Gold tier
Why Nginx as Load Balancer? Decision: Use Nginx for load balancing
Rationale:
Industry standard reverse proxy Excellent performance and stability Built-in health checks Rate limiting capabilities Alternative considered: HAProxy (Nginx has better ecosystem) Why Docker Compose? Decision: Use Docker Compose for orchestration
Rationale:
Simple declarative configuration Easy local development Portable across environments Alternative considered: Kubernetes (overkill for this scale) Why Prometheus + Grafana? Decision: Use Prometheus for metrics, Grafana for visualization
Rationale:
Open source, widely adopted Excellent Flask integration Powerful query language (PromQL) Rich visualization capabilities Alternative considered: Datadog (paid, vendor lock-in)
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