Cloud Infrastructure for Early-Stage Startups: Build vs. Buy

The most expensive infrastructure mistake early-stage startups make is not a wrong technology choice — it is spending engineering time on infrastructure problems before there is a product worth running.

The default stack that works for most startups

• A managed cloud platform (Railway, Render, Fly.io, or AWS App Runner) for application hosting
• A managed database (RDS, PlanetScale, Supabase) for persistence
• A managed CI/CD service (GitHub Actions) for deployment automation
• A managed observability tool (Datadog, Sentry) for monitoring

This stack runs a product serving tens of thousands of users. The cost at early stage is rarely more than $500 to $1,500 per month.

When to build instead of buy

When the managed option creates a constraint that directly limits your product or cost model at your actual scale. The decision to self-manage infrastructure is a decision to spend engineering time on infrastructure instead of product.

What not to do

• Do not design for 100x current scale before you have validated the product.
• Do not self-manage databases until you have a dedicated infrastructure engineer.
• Do not build a custom deployment pipeline when GitHub Actions does the job.
• Do not add redundancy you cannot operationally support with your current team size.