An Elixir program consist of a large number of lightweight, concurrent processes communicating with each other via asynchronous messages. A process receives and handles incoming messages, transforming its internal state in a functional way. Inside a process, all code is sequential. The VM running Elixir, BEAM, normally utilizes all cores of a modern CPU and schedules processes for execution. By running many concurrent processes you can maximize the performance of current hardware.

Your Python Stack Can’t Do This

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The AI industry has a “Python Problem.”

While Python dominates model development, it’s catastrophically unsuited for agent orchestration. If you’re building an “Agent Swarm” with LangChain or AutoGPT on a Python backend, you’re fighting the Global Interpreter Lock (GIL), memory bloat, zombie processes, and concurrency nightmares.

I built a platform that actually scales. Using Elixir and the BEAM VM, I orchestrated millions of stateful, autonomous agents on a single cluster, with sub-millisecond message passing, automatic fault recovery, and zero external message queues.

Hot code upgrades for Elixir and Phoenix apps

ny port 8000 sudo ufw route allow proto tcp from any to any port 8443

Introduction

So you want to deploy your Phoenix app. You head to the docs, and in typical Elixir fashion you find a number of thorough and well-written guides. Unfortunately, they're all guides for deploying to cloud PaaS platforms. Well, there is a Releases guide, but it only teaches you how to build a release. Not how to deploy it!

But what if you want to deploy to an actual server? Maybe you want to avoid vendor lock-in, or maybe you just want to manage your own system. You know, like the good old days. This is an opinionated guide for deploying an Elixir/Phoenix app to an actual server. VPS, bare metal - it doesn't matter. Just a server.

Nothing here is novel, but there aren't really any guides that spell it out.

I am going to spell it out.