Elixir Design Patterns, OTP & Distributed Systems

A complete online guide to Elixir design patterns, OTP supervision trees, GenServers, message passing, Phoenix applications, and distributed systems, plus diagrams and idiomatic Elixir examples.

Elixir brings together a friendly, Ruby‑inspired syntax with the battle‑tested Erlang VM (BEAM), making it a natural fit for highly available, fault‑tolerant systems. This guide focuses on how to use Elixir’s strengths—immutable data, functional pipelines, OTP behaviours, and supervision trees—to build systems that can scale out, heal themselves, and stay observable in production.

Here you’ll find language‑specific takes on classic design patterns as well as patterns that emerge naturally from OTP and BEAM: how to structure GenServers, model supervision hierarchies, design message‑passing workflows, and build Phoenix‑backed services that stay robust under real‑world load.

In this Elixir patterns guide you’ll:

  • Apply functional and concurrency patterns using Elixir’s pipe operator, pattern matching, and immutable data.
  • Model resilient processes with OTP behaviours (GenServer, Supervisor, Task, Registry) and supervision trees.
  • Design fault‑tolerant, distributed architectures that can scale across nodes and data centers.
  • Structure Phoenix applications for clear boundaries between contexts, APIs, and real‑time features (PubSub, LiveView, channels).
  • Reinforce each concept with concise, idiomatic Elixir examples and diagrams where helpful.

Use this section as a living reference as you move from small Elixir services to large, distributed systems running in production.

In this section

Revised on Wednesday, September 16, 2026
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