Airbnb migrated its identity graph from third-party PaaS to an internally-managed knowledge graph infrastructure built on JanusGraph and DynamoDB.
Viaduct 1.0 represents Airbnb's evolution from internal tool to production-ready, community-driven data mesh platform.
This post explains how Airbnb eliminated circular dependencies in its observability stack to ensure reliable monitoring at scale.
Skipper is Airbnb's embedded workflow engine designed to enable durable execution of multi-step business processes without requiring external orchestration infrastructure.
Airbnb built a metrics storage system ingesting 50 million samples per second and storing 1.3 billion active time series.
Airbnb introduces privacy-first social features for Airbnb Experiences, separating internal user data from public profiles to protect guest privacy while enabling social connections.
This post details a production migration of a large-scale metrics pipeline from StatsD to OpenTelemetry (OTLP) with Prometheus-based storage and vmagent for streaming aggregation.
This article tells the career story of Jonathan Woodard, a former professional NFL defensive end who transitioned into software engineering and joined Airbnb's Secure Development Engineering team.
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.
