Choosing a Deployment Platform for APIs and MVPs: Cloudflare vs AWS vs Vercel vs Fly.io

Choosing a Deployment Platform for APIs and MVPs#

Picking a deployment platform early in a project matters more than most teams realize. The platform determines your cost floor, your scaling ceiling, your deployment workflow, and how much operational overhead you carry. Switching later is possible but never free – you are always migrating data, rewriting config, and updating DNS.

This guide compares four platforms that cover the most common deployment scenarios: Cloudflare (Workers + D1 + Pages), AWS (Lambda + API Gateway + RDS + S3), Vercel (Pro + serverless functions), and Fly.io (Apps + Postgres). Each has a genuine sweet spot. None is best for everything.

Choosing a Local Model: Size Tiers, Task Matching, and Cost Comparison with Cloud APIs

Choosing a Local Model#

The most expensive mistake in local LLM adoption is running a 70B model for a task that a 3B model handles at 20x the speed for equivalent quality. The second most expensive mistake is running a 3B model on a task that requires 32B-level reasoning and getting garbage output.

Matching model size to task complexity is the core skill. This guide provides a framework grounded in empirical benchmarks, not marketing claims.