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Fly.io

Made Crystal Clear

A practical, visual guide to running real apps close to your users, and knowing what it costs

Fly.io runs your app as a real long-running process in a microVM, close to your users, on one anycast address. It is genuinely good at that. It also has no free tier, bills by the second, and carries a reliability history people still argue about using numbers from 2023. This guide handles all three honestly: the exact rate card, a dated outage timeline, and the volume model that has cost people data. Then the platform properly, ending with a money chapter whose answer is not always Fly.io.

Pages
154
Level
Beginner to advanced
Status
Available
Kindle · $12.99 ↗Paperback · $31.99 ↗Give feedback

Inside the book

  1. 01What Fly.io Actually Is
  2. 02The Mental Model: Deploy to Served Request
  3. 03Your First Deploy
  4. 04What Fly.io Actually Costs
  5. 05The Reliability Question, Dated Honestly
  6. 06fly.toml and Configuration
  7. 07Machines, Autostart, and Scale to Zero
  8. 08Regions, Anycast, and Being Close to Users
  9. 09Networking: Public, Private, and Flycast
  10. 10Volumes and Persistent State
  11. 11Databases: Managed Postgres and the Legacy Story
  12. 12Deploys, Health Checks, and Rollback
  13. 13Observability and Debugging a Live App
  14. 14The Business Case, and the Alternatives
  15. 15The Playbook, Cheat Sheet, and Where to Go Next

You'll leave with

  • Tell a Fly Machine apart from a container and from serverless
  • Trace a request from anycast edge to the nearest healthy machine
  • Price your app exactly: there is no free tier, and stopped is not free

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