Scaling Knowledge Access and Retrieval at Airbnb

Cherry blossoms in full bloom in Tokyo Imagine you’re finally getting to take that vacation you’ve dreamed of — three countries, seven cities, thousands of miles. It’s everything you could want and more, right? But where do you start? How do you know what to eat, where to visit, how to experience what makes your destination truly…

Our Swift Style Guide Is Now Open Source

Some of Airbnb’s native engineers talking in our Native Product Development tech talk last August A brief history of Swift at Airbnb At WWDC 2014, Apple surprised us with a new language: Swift. At Airbnb, we quickly jumped in head first and wrote our first line of…

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…

Airbnb Engineering in Seattle

Want to know what it’s like to work in Airbnb’s new office? Ari Steinberg, Director of Engineering and Head of the Airbnb Seattle office, shares more on Airbnb’s Seattle presence. Why is Airbnb in Seattle? We wanted to expand our footprint outside of San Francisco to attract some of the…

Inside Connect: Airbnb’s Engineering Apprenticeship Program

by Beti Gathegi & Jacqui Watts Hello! We’re excited that you’re here to learn more about the Connect program. Before we share details, though, we’d like to introduce ourselves. We’re Beti Gathegi and Jacqui Watts — a team of two whose purpose at Airbnb is to help bring this program…

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…

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…

Building a Cross-Platform Mobile Team

This is the third in a series of blog posts in which we outline our experience with React Native and what is next for mobile at Airbnb. In addition to the countless technical pros and cons of React Native, we learned a ton about what React Native means for an…

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…

How Airbnb is Boosting Data Literacy With ‘Data U Intensive’ Training

Since we introduced Airbnb’s Data University, the program has continued to thrive and evolve. One improvement has been the addition of team-specific trainings with content tailored to the work of that team. In this post, we describe the impact of this addition and the lessons learned in its implementation. What is Data University? …

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…

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…

The Smart Instant Book Filter

By Yi Hou, Li Fan & Tao Cui People like it when things are fast. We want our deliveries within an hour, our downloads within a minute, and our news in an instant. That is why we need to help our Airbnb community to book listings they want instantly. Instant…

Building Services at Airbnb Part 3

By: Weibo He, Liang Guo A bright and spacious Airbnb Plus listing in London Airbnb is moving its infrastructure towards a service-oriented architecture. A reliable, performant, and developer-friendly polyglot service platform is an underpinning component in Airbnb’s architectural evolution. In Part 1 and Part 2 of our Building Services series, we shared how we used Thrift service IDL-centered service…

Building a faster web experience with the postTask scheduler

When was the last time you opened a page on a website and tried to click on something multiple times for it to work? Or the last time you swiped on an image in a carousel and it stuttered and shifted around unnaturally? While this type of experience happens far…

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…

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.

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…

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…

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…

Learning Market Dynamics for Optimal Pricing

How do you think market dynamics influences this beautiful home in Cape Town? Market dynamics plays a key role in matching guests with hosts in two-sided marketplaces such as Airbnb. Supply and demand vary drastically across different locations, different check in dates and different lead times until check-in. It is important for us to understand and forecast these spatial and temporal trends in…

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…

Building Services at Airbnb, Part 4

By Junjie Guan, Rui Dai and Xing An Intro In Part 1, Part 2, and Part 3 of our Building Services at Airbnb series, we shared how…

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…

Building Services at Airbnb, Part 2

By Liang Guo and Frank Lin Vittoria is treating his guests to a tour of the Limoncello factory, where family makes… Airbnb is moving its infrastructure towards SOA. A reliable, performant, and developer-friendly service platform is essential in an architectural evolution. In a previous post, we shared a bird’s-eye view of what we have designed and built to scale the development of services and gave…