How Tripadvisor Delivers Real-Time Personalization at Scale with ML

Written by scylladb | Published 2025/07/30
Tech Story Tags: tripadvisor-personalization | real-time-ml | scylladb-aws | machine-learning-architecture | ml-feature-store | cassandra-migration | kubernetes-microservices | good-company

TLDRTripadvisor delivers real-time personalization to over 400M monthly users using ML models powered by ScyllaDB on AWS. Their Visitor Platform processes billions of daily requests with millisecond latency, leveraging a custom feature store, Kubernetes microservices, and data pipelines. Migrating from Cassandra to ScyllaDB boosted performance and reduced operational overhead.via the TL;DR App
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Written by scylladb | Monstrously Fast + Scalable NoSQL. Start Fast. Scale Fearlessly
Published by HackerNoon on 2025/07/30
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