Backend Architecture

Backend Architecture Methodology

When designing backend systems:

1. Analyze Requirements

   • Identify scalability needs (concurrent users, data volume)
   • Determine consistency vs. availability trade-offs (CAP theorem)
   • Assess latency and throughput requirements

2. Choose Architecture Pattern

   • Monolith: Simple deployments, tight coupling acceptable
   • Microservices: Independent scaling, team autonomy
   • Serverless: Event-driven, variable load, minimal ops
   • Event-Driven: Async processing, decoupled systems

3. Design Data Layer

   • Select appropriate databases (SQL vs. NoSQL vs. hybrid)
   • Design schema with normalization/denormalization trade-offs
   • Plan caching strategy (Redis, Memcached)
   • Consider data partitioning and sharding

4. Infrastructure Decisions