Server Rendering, Code Splitting, and Lazy Loading with React Router v4

Challenge accepted. Nicole, one of our hosts, taking some guests on a sunrise walk and picnic above… Some Background on Server Rendering at Airbnb Historically, Airbnb has been a Rails app. A few years back that started to change, we began using Rails simply as a data layer, and all render logic started migrating into JavaScript in…

Himeji: A Scalable Centralized System for Authorization at Airbnb

The Problem Over the last couple of years, Airbnb engineering moved from a monolithic Ruby on Rails architecture to a service oriented architecture. In our Rails architecture, we had an API per resource to access the underlying data. These APIs had authorization…

Detecting Vulnerabilities With Vulnture

Introduction Securing assets and data is a challenging and important task, regardless of your industry or company size. On Airbnb’s InfoSec team, we are constantly thinking about how to quickly and effectively detect and remediate…

Improving Deep Learning for Ranking Stays at Airbnb

Search ranking is at the heart of Airbnb. Data from search logs* indicate it is a feature used by more than 90% of guests to book a place to stay. In ranking, we want the search results (referred to as listings) to be sorted…

Contextualizing Airbnb by Building Knowledge Graph

By Xiaoya Wei and Yizheng Liao A riverfront, all-bamboo house on Airbnb in Bali. Imagine you are planning a trip to Los Angeles. The first step is to visit Airbnb.com and search for “Los Angeles.” On the backend, the query “Los Angeles” is translated into a block on the map; available Homes within this block are returned in…

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…

Inside Connect: Supporting Apprentices as an Engineering Leader

As an engineering leader with 15+ years of industry experience, I am currently head of engineering for the Marketing Technology Platform at Airbnb. Our goal is to build world-class technology systems and tools that power the unique blend of performance and brand marketing strategies at Airbnb. In this post, I’d…

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…

Better Android Testing at Airbnb

In previous installments of this series we laid out our state mocking system, and how we built UI integration testing on top of it. In…

Contextual Calendar Reminders

By Tao Cui and Yuting Gu Airbnb’s mission is to create a world where anyone can belong anywhere. So when hosts forget to update their calendars and are booked by guests on dates that don’t work, the host has to cancel the reservation. This definitely does not make the guests…

How Airbnb Achieved Metric Consistency at Scale

Part-I: Introducing Minerva — Airbnb’s Metric Platform 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 At Airbnb, we lean on data to inform our critical decisions. We validate product ideas through randomized controlled experiments, and we track our business performance…

Supporting Dynamic Type at Airbnb

By Noah Martin & Hugo Ahlberg Background Since iOS 7, Dynamic Type has allowed users to choose a prefered font size for their phone. At Airbnb, we try to build an app that our entire community can use — since Dynamic Type is a critical accessibility feature, we knew supporting it…

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

Scaling a Mature Data Pipeline — Managing Overhead

Author: Zachary Ennenga The view from the third floor at Airbnb HQ! Background There is often a natural evolution in the tooling, organization, and technical underpinning of data pipelines. Most data teams and data pipelines are born from a monolithic collection of queries. As the pipeline grows in its complexity, it becomes sensible to leverage the Java or Python Spark…

Categorizing Listing Photos at Airbnb

Authors: Shijing Yao, Qiang Zhu, Phillippe Siclait Walking into our new office in San Francisco, meeting rooms evoke the variety of our… Airbnb is a marketplace featuring millions of homes. Travelers around the world search on the platform and discover the best homes for their trips. Aside from location and price, listing photos are one of the most critical factors for decision-making during a guest’s…

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…

Moving Lottie Swiftly into the Future

Come and join us in working on Swift development in our gorgeous office! Lottie is a library for Android, iOS, Web, and Windows that parses Adobe After Effects animations exported as JSON with Bodymovin and renders them natively on mobile and on the web. If you haven’t already read Brandon’s post about the Swift rewrite of Lottie on iOS, check it out! We’d…

Continuing Our Support of Lottie Open Source Community

After years of working with open source contributors to create new features, fix bugs, and maintain the issue…

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…

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…

How Druid enables analytics at Airbnb

By Pala Muthiah and Jinyang Li Wikipedia: A druid was a member of the high-ranking professional class in ancient Celtic cultures… Airbnb serves millions of guests and hosts in our community. Every second, their activities on Airbnb.com, such as searching, booking, and messaging, generate a huge amount of data we anonymize and use to improve the community’s experience on our platform. The Data Platform Team…

Capturing Data Evolution in a Service-Oriented Architecture

The dining hall in the San Francisco Office is always gleaming with natural sunlight! Labor day weekend is just around the corner! Karim is amped for a well deserved vacation. He logs in to Airbnb to start planning a trip to San Francisco, and stumbles upon a great listing hosted by Dany. He books it. A moment later, Dany receives a notification that his…

Listing Embeddings in Search Ranking

By Mihajlo Grbovic, Haibin Cheng, Qing Zhang, Lynn Yang, Phillippe Siclait and Matt Jones Airbnb’s marketplace contains millions of diverse listings which potential guests explore through search results generated from a sophisticated Machine Learning model that uses more than hundred signals to decide how to rank a particular listing…

Discovering and Classifying In-app Message Intent at Airbnb

Authors: Michelle Du, Shijing Yao Get embraced by plenty of natural light, brick, and plant in our new office in… Airbnb’s mission is to create a world where everyone can belong anywhere. Ensuring good communication between guests and hosts is one of the keys to developing a sense of belonging as well as a smooth and worry-free trip experience for guests. Millions of guests and…

Using Chatbots to Provide Faster COVID-19 Community Support