Elixir
A dynamic, functional language designed for building scalable and maintainable applications, running on the Erlang VM.
Created by José Valim
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
- Erlang VM reliability: 30+ years of telecom-grade infrastructure
- Modern syntax: Familiar, Ruby-inspired syntax lowered barrier to entry
- Metaprogramming: Powerful macros for extending the language
- Tooling: Mix build tool, Hex package manager, excellent docs
- Phoenix Framework: Productive web development with real-time features
- 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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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
| Feature | Elixir | Ruby | Go | Node.js |
|---|---|---|---|---|
| Concurrency model | Actor (processes) | Threads/GIL | Goroutines | Event loop |
| Fault tolerance | Built-in (OTP) | Manual | Manual | Manual |
| Distributed | Native support | Gems required | Manual | Manual |
| Hot code reload | Yes | Limited | No | Limited |
| Typing | Dynamic | Dynamic | Static | Dynamic |
| Immutability | Default | Optional | No | Optional |
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
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 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.
While written in Erlang (not Elixir), WhatsApp demonstrates the power of the BEAM VM that Elixir runs on.
Language Influence
Influenced By
Influenced
Running Today
Run examples using the official Docker image:
docker pull elixir:1.17-alpineExample usage:
docker run --rm -v $(pwd):/app -w /app elixir:1.17-alpine elixir hello.exs