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Go for backend services, Node and Typescript for our web services, Next.js and React/Typescript on the frontend. We run on AWS with Kubernetes for containerization, and gRPC and protobufs for internal service communication.

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. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

On the backend, our stack runs on Python3 in combination with GraphQL, on top of AWS infrastructure like Lambda & ApiGateway, to deliver the best experience and value to our customers.

On the frontend, we currently have three clients: web, iOS, and Android. Our existing web stack is an AngularJS (also known as Angular 1) app, within which we have (more recently, i.e. past year) been writing React components. The new stack is entirely React, written in Typescript, and includes modern libraries for things like state management, api requests, analytics, and error handling. It’s also built in such a way that we can package it as a native iOS/Android app, getting us closer to our goal of writing ~once while deploying on all 3 platforms. The iOS stack is Objective C and Swift and the Android’s stack is Java and Kotlin.

Google Cloud Platform, Linux, Golang, Python, Docker, Kubernetes, Helm, and Terraform

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

Go, Kotlin, Python, Typescript

Python, Django, React JS, AWS

Qualified is a modern web app with a React UI interfacing over GraphQL, REST, and WebSockets with a Ruby on Rails backend. The data and messaging layers are built on PostgreSQL, Redis, and ClickHouse.

React, TypeScript, Apollo, GraphQL, Ruby on Rails, Redis, PostgreSQL, AWS

Backend: Ruby on Rails, MySQL, Elasticsearch, Lambdas Frontend: React Infrastructure: AWS, Docker, Terraform CI: GitHub, Jenkins

AWS, Angular 10, Go 1.14, Java 8+, Postgres 11.5, Rails 6, Ruby 2.7+, Terraform, TypeScript 3.5

Backend: Node + Express, Typescript, Go Microservices. Frontend: Next.js, React + Hooks, Storybook. Infrastructure: Heroku + AWS, CircleCI, DataDog.

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

Python, Docker, AWS, Django, Postgresql, numpy, scipy, matplotlib, Jupyter, ZMQ, tensorflow (and more)

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

At Noyo our primary tech stack is Python/Flask for our backend services (typically on top of PostgreSQL); our frontend web applications are built using React. We are a cloud-native company, we deploy everything on Google Cloud Platform via a combination of Kubernetes and serverless applications.

Golang, React, Redux, MongoDB, ElasticSearch, Redis, Kinesis, NATS, TimescaleDB, Lambda, Node.js, Postgres, Typescript

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.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

Clojure backend, React front end, MongoDB, Kubernetes, AWS. Full stack here.

We put a lot of care into how we ship code. Shipping fast starts with serious investment in tooling, like continuous deployment with multiple pushes per day. Shipping sustainably is about more than just effective work – it requires commitment to creating an environment where people can focus and get creative. Our tech stack includes:

React JS, TypeScript, Scala, Node.js, AWS, Graphite, Redis, DynamoDb, Kubernetes, MySQL, Python, Amazon Redshift, Swift, Kotlin, GraphQL, Swagger, ZooKeeper, Envoy

We believe in choosing technologies pragmatically, balancing tradeoffs between widespread support, power, and accessibility. Our primary language is Python, augmented with C/C++, PyTorch, and other extensions. We use code tools like Bazel, mypy, and automatic formatters to reduce the cognitive overhead of our work, and ops tools like Docker and Salt to automate operational burdens. Our code runs in a variety of environments, including AWS, Google Cloud, professionally-hosted private clouds, and most importantly, on our own servers at customer sites. We collaborate and document our work with Slack, GitHub, Jira, and Confluence.

Web - Node, React, Python, PostgreSQL.

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

Ruby, Rails, Javascript, React, MySQL, Kubernetes