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Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

Elixir, Go, Kotlin, Python, Typescript

We’re on service-oriented architecture. Our backend is composed of a collection of Java services that communicate via RPC. Our frontend web stack is a React/Redux application. We use Objective-C and Swift in the iOS app and Kotlin in the Android app. Our data infrastructure is cloud native in AWS and includes S3, EMR, Redshift/RDS, Lambda, and ECS.

GitHub is a Rails 4 application that is composed of a large monolith and a constellation of services written in Ruby, Go, and a handful of other languages. The app and its services are exposed both internally and externally via a GraphQL API. We primarily rely on MySQL for persistent storage, Redis for temporary storage, and, as you might expect, a lot of git repositories. We rely on Kubernetes for container orchestration.

We use whatever tools are appropriate to accomplish the task at hand.

The backend stack currently consists of Node.js, Apollo server (GraphQL), PostgreSQL, Docker and Lambda in AWS. We also have a strong bias toward a micro-service architecture.

The frontend stack currently consists of React Native, TypeScript, Expo, Apollo client (GraphQL), and Jest testing framework. We have a mobile app with cross-platform support.

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly-React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Web - Node, React, Python, PostgreSQL.

Mobile - React Native, Swift (iOS) / Java (Android).

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

Ruby on Rails, AngularJS, Python, SQL, Postgres, Docker, AWS

Elixir/Phoenix, Ruby/Rails, Javascript, React, PostgreSQL, Elastic, Kafka, Heroku, and Google Cloud Platform

Node.js, Postgres, AWS, Terraform, Ansible, React

Frontend: React, Relay, Flow, Jest, Enzyme.

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec, Java.

CI: GitHub, Buildkite.

Infrastructure: AWS, Python.

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

AWS, Python, GoLang, Cloud9, GitHub, ELK, Cloudera

Backend: Ruby on Rails, Postgres, Elasticsearch, Google Cloud Platform, Kubernetes.

Frontend: Typescript, React, Redux.

Data: BigQuery, BigTable, DataFlow, DataProc.

Ruby on Rails, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala (Data team)

Ruby on Rails

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku