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.
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