Est. 2012 Beginner

Elixir

A dynamic, functional language designed for building scalable and maintainable applications, running on the Erlang VM.

Created by José Valim

Paradigm Multi-paradigm: Functional, Concurrent, Distributed
Typing Dynamic, Strong
First Appeared 2012
Latest Version Elixir 1.17 (2024)

Elixir is a dynamic, functional language designed for building scalable and fault-tolerant applications. It runs on the Erlang Virtual Machine (BEAM), which is known for running low-latency, distributed, and fault-tolerant systems used in telecommunications, banking, and real-time web applications.

History & Origins

Elixir was created by José Valim, a prominent Ruby developer and co-founder of Plataformatec. While working on improving Ruby on Rails performance, Valim became interested in the Erlang ecosystem and its approach to concurrency and fault tolerance.

Rather than simply using Erlang, Valim saw an opportunity to create a new language that would bring modern language features and developer ergonomics to the battle-tested Erlang VM. He wanted Ruby’s productivity with Erlang’s reliability.

The Problem Elixir Solves

Modern applications face challenges that traditional languages struggle with:

  • Concurrency: Handling millions of simultaneous connections
  • Fault tolerance: Keeping systems running despite failures
  • Distribution: Scaling across multiple machines seamlessly
  • Hot code upgrades: Updating running systems without downtime

Elixir addresses these by leveraging the Erlang VM:

  • Lightweight processes: Millions of isolated processes, not OS threads
  • “Let it crash”: Supervisors restart failed processes automatically
  • Location transparency: Same code works locally or distributed
  • OTP patterns: Decades of production-proven reliability patterns

Rise to Prominence

Elixir grew steadily from 2012-2015, primarily attracting Ruby developers seeking better concurrency. The release of Phoenix Framework in 2015 was a turning point—it showed that Elixir could match Rails’ productivity while handling far more concurrent users.

Key adoption milestones:

  • Discord (2015+): Proved Elixir could handle massive real-time scale
  • Phoenix LiveView (2019): Rich, real-time UIs without JavaScript
  • Nerves Project: Elixir for embedded systems and IoT
  • Nx/Livebook (2021+): Machine learning and interactive notebooks

Why Elixir Succeeded

  1. Erlang VM reliability: 30+ years of telecom-grade infrastructure
  2. Modern syntax: Familiar, Ruby-inspired syntax lowered barrier to entry
  3. Metaprogramming: Powerful macros for extending the language
  4. Tooling: Mix build tool, Hex package manager, excellent docs
  5. Phoenix Framework: Productive web development with real-time features
  6. Community: Welcoming, helpful community with quality libraries

The Actor Model

Elixir uses the Actor Model for concurrency. Each process:

  • Has its own isolated memory (no shared state)
  • Communicates only through message passing
  • Can be supervised and restarted on failure
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# Spawn a process
pid = spawn(fn ->
  receive do
    {:greet, name} -> IO.puts("Hello, #{name}!")
  end
end)

# Send it a message
send(pid, {:greet, "World"})

This model makes concurrent programming safer and easier to reason about.

OTP: The Secret Weapon

OTP (Open Telecom Platform) provides battle-tested patterns:

  • GenServer: Generic server processes for stateful services
  • Supervisor: Monitors processes and restarts them on failure
  • Application: Bundles related processes with lifecycle management
  • ETS: In-memory storage for fast data access

These patterns let you build reliable systems without reinventing fault tolerance.

Modern Elixir

Elixir continues evolving with focus areas:

Type System Progress

  • Set-theoretic types in development
  • Gradual typing for better tooling without sacrificing dynamism

Machine Learning

  • Nx: Numerical computing library
  • Axon: Neural networks
  • Bumblebee: Pre-trained transformer models
  • Livebook: Interactive notebooks (like Jupyter)

Phoenix Ecosystem

  • LiveView: Real-time UIs with server-rendered HTML
  • LiveDashboard: Production monitoring
  • Phoenix Presence: Distributed presence tracking

Elixir vs. Other Languages

FeatureElixirRubyGoNode.js
Concurrency modelActor (processes)Threads/GILGoroutinesEvent loop
Fault toleranceBuilt-in (OTP)ManualManualManual
DistributedNative supportGems requiredManualManual
Hot code reloadYesLimitedNoLimited
TypingDynamicDynamicStaticDynamic
ImmutabilityDefaultOptionalNoOptional

Elixir shines when you need reliability, real-time features, or massive concurrency.

The Elixir Community

Elixir has a notably welcoming and helpful community:

  • ElixirConf: Annual conference (US and EU editions)
  • ElixirForum: Active discussion forum
  • Elixir Slack: Real-time community help
  • Hex.pm: Package repository with quality libraries
  • HexDocs: Excellent documentation culture

José Valim and the core team are actively engaged with the community, and the language evolves based on real-world feedback.

Timeline

2011
José Valim begins developing Elixir while at Plataformatec
2012
Elixir 0.5 released publicly
2014
Elixir 1.0 released with stable language features
2015
Phoenix Framework 1.0 released, enabling productive web development
2016
Elixir 1.3 with calendar types and deprecation warnings
2017
Elixir 1.5 with improvements to exceptions and streamlined child specs
2019
Elixir 1.9 with releases for deployment
2020
Elixir 1.11 with compiler improvements and config providers
2022
Elixir 1.14 with improved debugging and PartitionSupervisor
2023
Elixir 1.15 with improved compilation and warnings
2024
Elixir 1.17 with duration types and set-theoretic type system progress

Notable Uses & Legacy

Discord

Discord uses Elixir to handle millions of concurrent users in real-time chat, with some nodes handling 5+ million concurrent connections.

Pinterest

Pinterest uses Elixir for their notification system, handling billions of notifications with minimal infrastructure.

PepsiCo

PepsiCo uses Elixir for their eCommerce platform, replacing a previous system while reducing infrastructure costs.

Heroku

Heroku uses Elixir for their routing infrastructure, benefiting from Erlang VM's reliability.

Bleacher Report

Migrated from Ruby to Elixir, reducing servers from 150 to 5 while handling more traffic.

WhatsApp

While written in Erlang (not Elixir), WhatsApp demonstrates the power of the BEAM VM that Elixir runs on.

Language Influence

Influenced By

Erlang Ruby Clojure

Influenced

Gleam Lumen

Running Today

Run examples using the official Docker image:

docker pull elixir:1.17-alpine

Example usage:

docker run --rm -v $(pwd):/app -w /app elixir:1.17-alpine elixir hello.exs

Topics Covered

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