Browse past weeks of engineering reads.
Airbnb needed to advance its AI, data science, and machine learning capabilities across multiple domains (NLP, optimization, measurement science) to improve its travel and living platform, requiring solutions to challenges in search ranking, recommendation, experimentation, and large-scale data processing.
Airbnb's multi-tenant key-value store (Mussel) used static rate limiting that couldn't adapt to varying traffic patterns and spikes, risking degraded performance and reliability for all tenants during surges.