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  • Writer's pictureMATTHEW NALLEY

Mastering Concurrency in Elixir: A Starting Guide

Elixir, a dynamic, functional programming language designed for building scalable and maintainable applications, is particularly known for its built-in support for concurrency. Leveraging the Erlang BEAM (Bogdan's Erlang Abstract Machine), Elixir offers powerful primitives for concurrent programming, opening up a world of possibilities for developers. This blog post seeks to unpack Elixir’s concurrency model and showcase how we can harness its potential to solve real-world problems.

Processes and Message Passing

At the heart of Elixir's concurrency model lie two key concepts: lightweight processes and message passing.

Processes in Elixir should not be confused with OS-level processes. They are incredibly lightweight (in terms of memory usage and creation overhead) and are fully isolated from each other, meaning a failure in one process doesn't impact the rest. This model allows Elixir applications to spawn thousands or even millions of processes without a hitch.

Message passing is the mechanism by which these processes communicate. Instead of sharing state as in many Object-Oriented languages, Elixir processes send and receive messages, enforcing a strong level of isolation and making concurrent programming less error-prone.

Getting Started with Spawn and Send/Receive

The basic functions for working with concurrency in Elixir are spawn, send, and receive. spawn creates a new process, send allows a process to send messages to others, and receive allows a process to handle incoming messages.

Here's a simple example:

elixirCopy code
defmodule Concurrency do
  def greeting do
    receive do
      name -> IO.puts "Hello, #{name}!"

pid = spawn(Concurrency, :greeting, [])
send(pid, "Elixir")

A Real-World Example: Real-time Financial Dashboard

Let's say you're building a real-time financial dashboard that aggregates data from various financial services. These services provide critical data such as stock prices, exchange rates, and commodities prices, but each has different response times.

If you were to fetch this data sequentially, your dashboard would only be as fast as the slowest service. However, using Elixir's concurrency model, we can fetch data from all services simultaneously. Here's how you could achieve that:

elixirCopy code
defmodule Dashboard do
  def fetch_data(services) do
    |> -> FinancialService.fetch(&1) end))

In this scenario, we spawn a separate process for each service using Task.async and then wait for all results with Task.await. This way, the dashboard can display data as it arrives and doesn't have to wait for the slowest service.

Concurrency Abstractions: Task, Agent, and GenServer

While spawn, send, and receive provide the foundations of concurrency in Elixir, the language offers high-level abstractions that you'll use more often in real-world applications.

  • Task: As we saw earlier, Task provides functionality for spawning and handling the results of simple background jobs.

  • Agent: Agent is a simple abstraction around state. If you need a process to hold and manage state that can be accessed by multiple other processes, an Agent is a good fit.

  • GenServer: GenServer (short for "generic server") is a more complex abstraction used for implementing server processes that encapsulate state, handle a variety of requests, and can handle their own initialization and shutdown.

The choice between these abstractions depends on your needs, but they all serve to make working with concurrency in Elixir more straightforward and less error-prone.

Mastering Concurrency in Elixir

Concurrency in Elixir is a vast and exciting topic. From the foundational concepts of processes and message passing, to higher-level abstractions like Task, Agent, and GenServer, Elixir provides powerful tools for writing concurrent programs. This blog post has only scratched the surface of Elixir's concurrency features. If you're keen on diving deeper, the official Elixir documentation is an excellent place to start.


Concurrency can be a game-changer in the performance and scalability of your Elixir applications. But, like any powerful tool, it needs to be used correctly to unlock its full potential. If you're excited about the possibilities of concurrent programming but aren't sure where to start, or if you need expert guidance to take your Elixir app to the next level, we're here to help.

Our team of seasoned Elixir professionals have been helping businesses, just like yours, transform their applications with Elixir's robust concurrency model. Let's talk about your project's needs and explore how we can effectively leverage Elixir's concurrency to drive your business forward. Get in touch with us today!

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