Introducing Showkase: A Library to Organize, Discover, and Visualize Your Jetpack Compose Elements

Over the last few years, Android™ development has gone through significant changes in how apps are structured, the language used for development, the tooling & libraries that speed up our development, and the improvements in testing apps. What didn’t change in all these years is the Android UI toolkit. This…

Enzyme’s Next Phase

In 2016, Airbnb released Enzyme, our React component testing library. In the following 4 years, the project has amassed more than 18,000 stars, and over 340 contributors. GitHub also tells us that Enzyme is used by over 230,000 repos and 24,000 packages, and npm reports that it is downloaded around 2 million times each week. The community’s response to this project has been astounding, to say the least. Much of Enzyme’s success is the result of the vibrant React community opening and commenting on actionable issues and submitting quality pull requests. All of your contributions have directly contributed to this project’s success—we could not have done this without you. This community is largely the reason why we are excited to announce that we will transfer ownership of Enzyme to the new enzymejs GitHub organization. We believe that this new home will help the project continue to support the community’s needs well into the future. The success here has moved beyond Airbnb as a single org and it’s time for our baby to be launched as a successful adult. Internally at Airbnb, Enzyme has been a catalyst for better frontend test coverage and is currently used in over 17,000 tests. While other options like React Testing Library have gained traction within Airbnb, we will still be using and contributing to Enzyme for the foreseeable future. If you want to help Enzyme grow, please check out the open issues and pull requests — the “help wanted” tag is a great starting point.

How does Airbnb track and measure growth marketing?

Introduction Airbnb’s mission is to “Create a world where anyone can belong anywhere.” This message is delivered to people all around the world through marketing, e.g., See What’s Possible When It’s Made Possible by Hosts. It helps Airbnb connect guests and hosts…

How Airbnb is Moving 10x Faster at Scale with GraphQL and Apollo

I had the opportunity to kick off GraphQL Summit last month with a talk that involved quite a bit of live coding (the Keynote intro ends at minute 6:00 if you’re in a hurry!). Check it out: From the feedback I gathered over the following days of the conference…

Project Lighthouse — Part 1: P-sensitive k-anonymity

Introduction In June, the Airbnb Anti-Discrimination product team announced Project Lighthouse, an initiative with the goal…

Reconciling GraphQL and Thrift at Airbnb

The.WAV hosting AFROHAUS Brunch in Los Angeles a few months ago Backend Engineer: Hmm. So you’re saying this “GraphQL” will allow any web or native engineer to arbitrarily query basically any field in any backend service, recursively, however they want, without any backend engineers involved? Frontend Engineer: Yeah, right? It’s amazing! […silence…] Backend Engineer: Guards, seize this person. For several years…

The Airbnb Talent Directory

The past few months have been hard for all of us, but it has been inspiring to see everyone, especially the Airbnb community, support each other during an unprecedented time. Our CEO, Brian Chesky, recently announced the departure of nearly 1,900 employees. Among these employees are incredibly talented Engineers and Data Scientists who have contributed to Airbnb in uncountable ways. To support our teammates departing Airbnb, we launched the Alumni Talent Directory, an opt-in directory which lists valued employees and contingent workers who have recently departed Airbnb. If you’re currently hiring or looking for incredible talent, the Talent Directory is full of amazing Engineers and Data Scientists, among others. We hope we can connect these individuals with new opportunities. It’s been an honor to work with such a talented team committed to our mission of belonging, and we’re confident any company would be lucky to have them. We’d also like to thank the cross-functional team that created the site in an extremely short period of time. We are all grateful for their hard work: Chris Arrington, Gina Groom, Noor Malik, Derek Southard, Parag Hardas, Robin Foyle, Mike Fowler, Christian Williams, Megan Gebhart, Alex Cheng, Steve Rafferty, Sonia Yang, Andy Tran, Angela Wu, Linsey Jackson, James Deslonde, Kelly Coldwell, as well as Joe Gebbia for inspiring the idea. Airbnb Alumni Talent Directory

Better Android Testing at Airbnb

Interaction Testing Part two of this series covered our screenshot testing approach. As our first integration tests, screenshots filled a gaping hole in our testing strategy and were immediately…

Production Secret Management at Airbnb

Keys are handed off during a check-in in Shanghai Airbnb is a global community built on trust. The Security team helps to build trust by maintaining security standards to store, manage and access sensitive information assets. These include secrets, such as API keys and database credentials. Applications use secrets to provide everyday site features, and those secrets used to…

Better Android Testing at Airbnb

In previous articles we’ve looked at Airbnb’s product architecture, the mocking system we built for it, and how this ecosystem…

How Airbnb Standardized Metric Computation at Scale

Part II: The six design principles of Minerva compute infrastructure By: Amit Pahwa, Cristian Figueroa, Donghan Zhang, Haim Grosman, John Bodley, Jonathan Parks, Maggie Zhu, Philip Weiss, Robert Chang, Shao Xie, Sylvia Tomiyama, Xiaohui Sun Introduction As described in the first post of this series, Airbnb invested significantly in building Minerva, a single source of truth metric platform that standardizes the…

Scaling Spark Streaming for Logging Event Ingestion

by Hao Wang and Liyin Tang Walking over a stream during an Airbnb Experience in Kuala Lumpur. Searching, viewing, and booking… Logging Event Ingestion at Airbnb Logging events are emitted from clients (such as mobile apps and web browser) and online services with key information and context about the actions or operations. Each event carries a specific piece of information. For example, when a guest searches for a beach house…

Sunsetting React Native

This is the fourth in a series of blog posts in which we outline our experience with React Native and what is next for mobile at Airbnb.Where are we today? Although many teams relied on React Native and had planned on using it for the foreseeable future, we were ultimately…

Better Android Testing at Airbnb

In our first article we looked at the MvRx mocking system, and the Launcher that opens any screen or mock in the app. While…

A Deep Dive into Airbnb’s Server-Driven UI System

By Ryan Brooks Background: Server-Driven UI Before we dive into Airbnb’s implementation of server-driven UI (SDUI), it’s important to understand the general idea of SDUI and how it provides an advantage over traditional client-driven…

Dynein: Building a Distributed Delayed Job Queueing System

An Airbnb Plus listing in Argyll, Scotland Introduction Asynchronous background jobs can often dramatically improve the scalability of web applications by moving time-consuming, resource-intensive tasks to the background. These tasks are often prone to failures, and retrying mechanisms often make it even more expensive…

Inside Connect: An Apprentice Perspective

Connect 2020 Apprentices at Airbnb HQ Hi, I’m Ale. I was a Connect 2020 Apprentice and I’m going to write a bit about my experience with the program, especially for those who are interested in applying. To learn more about the goals and structure of the Connect program, take a look at Part 1 of this…

React Performance Fixes on Airbnb Listing Pages

Airbnb has some incredible listings in Cuba…and also a corner of the office inspired by Habana Vieja We have been hard at work migrating the airbnb.com core booking flow into a single-page server-rendered app using React Router and Hypernova. At the beginning of the year, we rolled this out for…

Machine Learning-Powered Search Ranking of Airbnb Experiences

By: Mihajlo Grbovic, Eric Wu, Pai Liu, Chun How Tan, Liang Wu, Bo Yu, Alex Tian Airbnb Experiences are handcrafted activities designed and led by expert hosts that offer a unique taste of local scene and culture. Each experience is vetted for quality by a team of editors before it…

How We Enable Airbnb Team Members to Code Like a Mobile Engineer

Intro As part of the TechEd team, our team’s goal is to enable our technical talent through continuous learning programs. One of the most common programs we work on is new employee onboarding for Engineering and Data Science teams. However…

React Native at Airbnb: The Technology

This is the second in a series of blog posts in which we outline our experience with React Native and what is next for mobile at Airbnb. React Native itself is a relatively new and fast-moving platform in the cross-section of Android, iOS, web, and cross-platform frameworks. After two years…

Building an Effective Test Pipeline in a Service Oriented World

This staircase connects several floors of our beautiful new San Francisco office, 650 Townsend. Context Over the past 2 years, Airbnb engineering has been working on a major initiative to migrate from a gigantic Rails Application to a decoupled service-oriented architecture, or SOA…

Introducing visx from Airbnb

by Chris Williams & Harrison Shoff After 3 years of development, 2.5 years of production use at Airbnb, and a rewrite in TypeScript we are excited to announce the official 1.0 release of visx (formerly vx). You can find the project on GitHub and browse documentation and examples on airbnb.io. …

Project Lighthouse — Part 2: Measurement with anonymized data

Introduction In June, the Airbnb…

Taming Service-Oriented Architecture Using A Data-Oriented Service Mesh

By: Raymie Stata, Arun Vijayvergiya, Adam Miskiewicz At Hasura’s Enterprise GraphQL Conf on October 22, we presented Viaduct, what we’re calling a data-oriented service mesh that we believe will bring a step function improvement in the modularity of our microservices-based Service-Oriented Architecture (SOA). In…