Erlang

Erlang is a functional programming language designed for building scalable, fault-tolerant systems. It was originally developed by Ericsson to handle massive concurrency in telecom applications, but now it's used by hipster startups trying to build the next WhatsApp.

How to use it in a sentence

  • Did you hear about that new messaging app? They built the backend in Erlang so it can handle millions of users sending emoji at the same time without crashing. 🙄

  • I was going to learn Erlang to build a scalable system, but then I realized I could just use Node.js and hire more DevOps engineers when things break. 💸

If you actually want to learn more...

  • Presentation Domain Data Layering - Martin Fowler explains a common architectural pattern of separating presentation, domain logic, and data access layers. This could be a good starting point for understanding where Erlang fits in a larger application architecture.

  • Polyglot Persistence - Fowler makes the case for using multiple different data storage technologies within a single application. Erlang's built-in Mnesia database is optimized for the language's concurrency model, so this article provides some context on how it might integrate with other databases in a polyglot architecture.

  • Evolutionary Design - Many of the practices that enable evolutionary design, like continuous integration and modular architecture, are also important for building Erlang systems that can scale and maintain fault-tolerance over time. Fowler has several articles on this topic that provide useful background for Erlang developers.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy