Kubernetes at Startup Scale

Kubernetes is the most powerful infrastructure tool I've ever used. It's also the most complex. The mistake most startups make is adopting it too early, before they understand what problem they're solving.

When you don't need it. If you have one service, one database, and fewer than 10 engineers, you don't need Kubernetes. A single VM with Docker Compose, or a platform like Railway or Fly.io, will serve you better. Kubernetes solves multi-service orchestration at scale — if you don't have that problem, it adds complexity without benefit.

When you do need it. The inflection point is usually around 5-10 services, multiple environments, and a team that's deploying multiple times a day. When you need consistent deployment across environments, automated rollbacks, and resource isolation between services — that's when Kubernetes starts to earn its keep.

Start with a managed control plane. EKS, GKE, or AKS. Running your own control plane is a full-time job for at least one engineer. Managed services handle upgrades, etcd backups, and control plane availability — the hard parts.

Don't build your own platform on top of day one. Raw Kubernetes is overwhelming. Start with a thin layer — we use Helm charts with standardized templates — and only build abstractions when you see the same pattern repeated three times.

The best Kubernetes setup is the one your team can debug at 2am. If your on-call engineer needs to read five internal docs to figure out how to roll back a deployment, your abstractions are too thick. Keep it boring.