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title: The Heroku Nostalgia Trap: Why Easy Deploys Aren&#x27;t the...
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# The Heroku Nostalgia Trap: Why Easy Deploys Aren't the Only Answer

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · [@iroro](https://daily.dev/iroro) · 9 min read · 2 upvotes · 0 comments

## Summary

The 'I just want something like Heroku' sentiment misidentifies what made Heroku great. It wasn't easy deploys — it was cognitive zero: infrastructure as a non-problem. Post-Heroku alternatives like Render, Railway, and Fly.io improved the deployment step but left integration fragmented across multiple vendors, dashboards, and billing relationships. The real issue is that compute, databases, storage, and queues living on separate networks creates hidden egress costs and mental overhead. The author argues the actual solution requires owning the hardware and connecting all services at the network level under one bill — and briefly mentions Atlasflow as an early attempt at this architecture, though without production validation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/the-heroku-nostalgia-trap-why-easy-deploys-arent-the-only-answer>

## Questions this post answers

### Why did people leave Heroku for platforms like Render, Railway, or Fly.io?

Salesforce ended Heroku's free tier in 2022 and later announced the end of sale for new enterprise customers, prompting a migration to Render, Railway, and Fly.io. These platforms improved on Heroku's deployment simplicity but left developers to separately provision databases, queues, and storage across multiple vendors, unlike Heroku's single integrated bill and network.

_Compare hosting migration tradeoffs and platform changes as they surface on daily.dev._

### Does using Railway instead of AWS directly save money?

Not necessarily, because Railway runs on top of AWS, meaning users pay Railway's margin on top of Amazon's underlying compute margin. Data moving between an app and its database may also cross billing boundaries depending on how Railway provisions resources, and while this cost doesn't look alarming on a single invoice, it compounds over time.

_Weigh hidden hyperscaler costs like this when comparing deployment platforms on daily.dev._

### Does deploying on Fly.io avoid the double cloud margin problem other PaaS platforms have?

Yes, because Fly.io runs on real bare-metal hardware rather than on top of a hyperscaler like AWS, which structurally avoids paying a margin to both the platform and an underlying cloud provider. However, Postgres, storage, and other services on Fly.io are still separate components developers must wire together themselves, unlike Heroku's fully integrated experience.

_Track architectural tradeoffs between bare-metal and hyperscaler-backed platforms via daily.dev._

---

Tags: [#cloud](https://daily.dev/tags/cloud), [#infrastructure](https://daily.dev/tags/infrastructure), [#cicd](https://daily.dev/tags/cicd), [#heroku](https://daily.dev/tags/heroku)

[View this post on daily.dev](https://daily.dev/posts/the-heroku-nostalgia-trap-why-easy-deploys-aren-t-the-only-answer-i4xf1g7s7)

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