Case Study: The New York Times achieves smarter, scalable search with Elastic

The New York Times - Customer Case Study

The New York Times needed a scalable search system to power both explicit user searches and implicit search across its site, apps, archives, and internal tools, while keeping results fast and relevant. Using Elastic’s Elasticsearch-based search stack on AWS, the company supported search across content published since 1851 and handled thousands of updates per day with low latency.

Elastic helped The New York Times run a full search infrastructure with production clusters, failover, monitoring, and reindexing workflows, and the company planned further simplification with full documents in Elasticsearch, Kafka replay, and virtualized local environments. The result was a more robust, integrated search experience across devices and platforms, with measurable operational gains such as low-latency responses, daily ingestion at scale, and improved cluster resilience and maintenance flexibility.

The New York Times

Boerge Svingen

Senior Manage