Architecture Scaling
Knowing when to add complexity is crucial. Start simple with serverless + managed DB, then evolve to auto-scaling + caching, and finally K8s + multi-region only when needed.
Infrastructure as Code
Terraform enables reproducible, version-controlled infrastructure. The same patterns scale from cloudflare_worker_script to kubernetes_deployment with consistent tooling.
Cloud Service Selection
Managed services reduce ops overhead but increase cost. Trade-offs: Supabase vs RDS vs Aurora Global—each fits different scale requirements.
Cost Awareness
Right-sizing infrastructure prevents waste. A hobby project doesn't need Multi-AZ RDS, and a scale system can't run on free-tier Lambda alone.
Network Design
VPCs, subnets, and security groups form the foundation. Public subnets for load balancers, private subnets for app servers + databases, with strict security group rules.
High Availability Patterns
Multi-AZ databases, read replicas, auto-scaling groups, and multi-region deployments ensure uptime. 99.9% → 99.99% → 99.999% availability targets.