Airbnb explains how COVID broke their booking-to-trip forecasting models and the architectural changes they built to handle structural data shifts.
Airbnb shares hard-won lessons from migrating its observability platform from third-party vendors to a custom in-house solution built on Prometheus across 1,000 services.
Airbnb describes how they built a destination recommendation model to help exploratory users in the trip planning stage discover and narrow down travel destinations.
Airbnb explains how they rebuilt their Observability as Code (OaC) alert development workflow to eliminate weeks-long validation cycles.
Airbnb recaps its 2025 academic research at KDD, CIKM, and EMNLP covering ML, NLP, and recommendation systems.
This post describes how Airbnb built "Sitar," their internal dynamic configuration platform for shipping runtime config changes safely at scale.
Anna Sulkina, Senior Director of Engineering at Airbnb, shares her career journey from Soviet-era Ukraine to leading Application & Cloud Infrastructure.
This article traces the career journey of Peter Coles, Airbnb's Head Economist for Policy and Director of Data Science, from academia to tech industry leadership.
This post explains how Airbnb launched 20+ local payment methods (LPMs) across global markets in 14 months through architectural modernization.
Airbnb introduces @generateMock, a GraphQL client directive that uses LLMs to automatically generate realistic, type-safe mock data for testing and prototyping.
Airbnb evolved Mussel, its multi-tenant key-value store, from simple QPS rate limiting to an adaptive traffic management system to maximize goodput during traffic spikes.
Airbnb shares how they completely rearchitected Mussel, their internal key-value store for derived data, migrating from v1 to a NewSQL-based v2 running in production for over a year.
