How Airbnb Uses JSON

Airbnb built a system that combines GraphQL infrastructure, product context, and LLMs to automatically generate and maintain realistic, type-safe mock data using a custom @generateMock directive.

The article discusses the implementation of Impulse, an internal load-testing-as-a-service framework at Airbnb, designed to enhance system reliability and performance through comprehensive load tes...

The article provides an in-depth exploration of Riverbed, a framework within Airbnb's tech stack that optimizes data consumption from system-of-record data stores and updates secondary read-optimiz...

The article discusses Airbnb's approach to personal data classification, emphasizing the importance of data handling to maintain trust within the community.

The article discusses the implementation of HTTP Streaming at Airbnb to enhance web performance.

The article announces the release of Lottie 4. 0 for iOS, highlighting significant performance improvements through a new rendering engine powered by Core Animation.

The article discusses the Intelligent Automation Platform (AP) developed by Airbnb to enhance conversational AI and agent automation, improving the customer experience.

This article discusses the architecture and functionality of Airbnb's data classification systems, Inspekt and Angmar, which automate the detection of personal and sensitive data and secrets in the...

This article discusses how Airbnb leverages the Minerva API to provide a consistent and simplified data consumption experience at scale.

This article explores Airbnb's server-driven UI system, known as the Ghost Platform, which enables faster feature deployment across web, iOS, and Android platforms.

The article discusses Vulnture, a tool developed by Airbnb's InfoSec team to streamline the detection and remediation of security vulnerabilities.

The article introduces WIDeText, a multimodal deep learning framework developed by Airbnb to streamline the development and deployment of classification systems.

The article discusses Airbnb's innovative approach to managing Kubernetes infrastructure using a tool called Krispr, which facilitates the injection of infrastructure components into pods.

The article discusses the development of Airbnb's Internationalization (I18n) Platform, which enables the efficient and scalable delivery of translated content across its global services.

This article discusses the challenges of achieving consistent mocking in Android testing at Airbnb, focusing on common sources of flakiness and strategies to mitigate them.

This article discusses a framework for unit testing ViewModels at Airbnb, emphasizing the importance of testing ViewModel logic to ensure correct screen behavior.

This article discusses the implementation of an automated interaction testing system at Airbnb for Android applications.

This article discusses the challenges of automated testing in Android development at Airbnb and introduces the MvRx library as a solution.

The article discusses Airbnb's decision to rewrite the popular open-source library Lottie from Objective-C to Swift, reflecting on the challenges and benefits of this transition.

The article discusses the development and iteration of a machine learning-powered search ranking platform for Airbnb Experiences, detailing its growth from a small dataset to a more complex model t...

The article discusses the introduction of deployment pipelines at Airbnb, emphasizing the importance of enforcing deployment procedures to prevent issues caused by 'bad code'.

The article discusses how Airbnb leverages GraphQL and Apollo to significantly accelerate its development process, achieving a tenfold increase in speed.

The article discusses how Airbnb utilizes Druid, a big data analytics engine, to enhance their analytics capabilities for real-time and batch processing.

The article discusses Airbnb's approach to production secret management, highlighting the development and implementation of an internal system called Bagpiper.

The article discusses Airbnb's transition from React Native back to native mobile development, highlighting their ongoing projects and innovations.

This article discusses the tooling and standards that support the service-oriented architecture (SOA) at Airbnb, focusing on the importance of a standardized service platform to enhance development...

This article discusses Airbnb's transition to a service-oriented architecture (SOA) and introduces the Service IDL (Interface Definition Language) as a key component for scaling service development.

The article discusses Airbnb's exploration of React VR, highlighting their journey in utilizing React and React Native to prototype virtual reality applications.

The article discusses Airbnb's development and open-sourcing of Sparsam, a fast Thrift binding for Ruby that significantly improves serialization and deserialization speeds.

The article introduces Lottie, an open-source library developed by Airbnb that simplifies the integration of animations into native applications for iOS, Android, and React Native.

StreamAlert is an open-source real-time data analysis framework designed for automated alerting and security.