1. The Premature Kubernetes Trap
Most engineering teams adopt Kubernetes 18 months too early. In the 'Initializer' stage (0 to 10k MAU), your primary risk is product-market fit, not planetary horizontal scalability.
Managing control planes, etcd quorum backups, CNI overlays, and ingress controllers burns hundreds of engineering hours that should be spent talking to users and shipping features.
2. The 4-Stage Infrastructure Maturity Model
Stage 1: Initializer (Single VM or Serverless Containers). Simple Postgres RDS + Cloud Run / App Runner / VPS Docker Compose.
Stage 2: Traction (Multi-Instance with Managed Edge). Autoscaled container fleet, dedicated Redis cache, read replicas.
Stage 3: Scale (Dedicated Kubernetes / EKS / GKE). When microservice count exceeds 10+ teams and specialized ingress/mesh routing is required.
Stage 4: Platform (Multi-Region / Multi-Cluster). Internal developer platform (IDP), GitOps automation, service mesh.
💡 Rule of Thumb: If you don't have a full-time Platform Engineer on staff, you should not be running vanilla Kubernetes in production.