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

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 towards 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.

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

Web - Node, React, Python, PostgreSQL.

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

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).

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

Mobile: React Native, Apollo.

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

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.

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

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.

Javascript (React/Redux), Ruby on Rails, Scala, Postgres, LittleTable

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.

Ruby, Rails, Javascript, React, MySQL, Kubernetes

Ruby on Rails

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku

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.

Languages/Frameworks: Angular, Node, Serverless Lambda, Rails, Coldfusion

Databases: MSSQL, Aurora

Cloud Providers: AWS

We’re primarily a Python shop, using Django for our websites. We also have a few services written in Go and have started to build out our front ends using React. We use Github to host our code, Jenkins (for now) to automate our tests, and right now most of our applications and code live in VMs in a Colo just outside of Toronto. We’re in the process of transitioning to AWS. Other common technologies we use are Postgres (primary DBs), Redis (cache and key/value store), RabbitMQ (messaging broker) and Celery (task queue).

Tech stack varies from team to team: PHP, React, Java, Node, Scala, Objective-C, Go, etc.