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Flyctl Alternatives
Similar projects and alternatives to flyctl
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supabase
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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pages-gem
A simple Ruby Gem to bootstrap dependencies for setting up and maintaining a local Jekyll environment in sync with GitHub Pages
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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neon
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
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coolify
An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 280+ one-click services on your own servers.
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flyctl discussion
flyctl reviews and mentions
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I Built a Zero-Knowledge Encrypted Habit Tracker with Elixir & Phoenix LiveView
Three independent encryption layers at rest: client-side E2E, Cloak AES-256-GCM in Postgres, and LUKS disk encryption on Fly.io
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Object Storage & CDN Journey
Tigris (Fly.io) provides globally distributed, S3-compatible storage with low latency, addressing the B2 latency limitations. However, its pricing model includes per-request charges in addition to storage. For an API-heavy workload like a chat system, this would scale poorly, so I decided not to go with it.
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My Journey Contributing to Django Simple Deploy: Improving the PythonAnywhere Plugin for Beginners
Django-simple-deploy is a tool that automates the steps needed to deploy a Django app. Instead of manually setting environment variables, configuring WSGI, or running multiple commands, the tool handles these tasks using platform-specific plugins. You run one command, and it prepares your project for platforms like PythonAnywhere, Fly.io, or Scalingo.
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I built my project 4 times, that's what I learned
I deployed it on fly.io because it was cheap and it had the ability to turn on and off machines automatically.
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Déployer une App Gratuitement en 2026 : Comparatif Railway, Render, Fly.io, Vercel
→ Essayer Fly.io
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Top 5 Code Sandboxes for AI Agents in 2026
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox.
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The End of Heroku: What It Means for Your Apps
Fly.io takes a different approach. Instead of abstracting away infrastructure, it gives you lightweight VMs (Machines) in 30+ regions worldwide. The deployment workflow has a similar feel (fly deploy and your app is live) but the underlying model is closer to running containers than Heroku-style dynos.
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Show HN: Attainable – The fastest and easiest way to design and deploy APIs
This began as a passion project and an opportunity to learn new tech.
I've always experienced frustration developing APIs, especially the RESTful CRUD style of data APIs. It always felt like I was repeating the same patterns over and over again, and that was tedium I didn't want. A little over a year ago, I wanted to learn more about Go, Firecracker microVM, and Svelte and thought "Could I build an API framework that was just a simple description of resources? What would that look like?"
That lead me to https://firecracker-microvm.github.io/, which landed me on https://fly.io, then https://rqlite.io, and the further I got into it, the more I really liked what I had. It's been over a year of learning and trying out all forms of tooling, CLIs, LSPs, and finally I landed on this.
So I decided to try my hand at making this a product. I'd really enjoy feedback about it and whether it's something folks would use. Here's hoping others feel the way I do about APIs and the developer experience building them!
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AI Ops for Small Engineering Teams: A Simple Guide Without the Enterprise Jargon
Deploy your cheapest option, it could be Fly.io, Render, Railway, or a small VM
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Google Antigravity Exfiltrates Data
This kind of problem is present in most of the currently available crop of coding agents.
Some of them have default settings that would prevent it (though good luck figuring that out for each agent in turn - I find those security features are woefully under-documented).
And even for the ones that ARE secure by default... anyone who uses these things on a regular basis has likely found out how much more productive they are when you relax those settings and let them be more autonomous (at an enormous increase in personal risk)!
Since it's so easy to have credentials stolen, I think the best approach is to assume credentials can be stolen and design them accordingly:
- Never let a coding agent loose on a machine with credentials that can affect production environments: development/staging credentials only.
- Set budget limits on the credentials that you expose to the agents, that way if someone steals them they can't do more than $X worth of damage.
As an example: I do a lot of work with https://fly.io/ and I sometimes want Claude Code to help me figure out how best to deploy things via the Fly API. So I created a dedicated Fly "organization", separate from my production environment, set a spending limit on that organization and created an API key that could only interact with that organization and not my others.
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A note from our sponsor - SaaSHub
www.saashub.com | 5 Jun 2026
Stats
superfly/flyctl is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of flyctl is Go.