https://www.infoq.com InfoQ SQL Server News feed https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=SQL+Server-news <img src="https://res.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/en/headerimage/generatedHeaderImage-1787939534250.jpg"/><p>Agoda migrated its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle growing read and write volumes. The migration used staged dual reads, parity validation, gradual traffic shifting, and decentralized failover detection. Agoda reports an approximately eightfold reduction in P99 read latency, with two DragonflyDB clusters providing high availability.</p> <i>By Leela Kumili</i> Prometheus Caching SQL Server Microservices Distributed Systems Redis A/B Testing Distributed Cache Distributed Data DevOps Development Architecture & Design news Mon, 14 Sep 2026 13:48:00 GMT https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=SQL+Server-news Leela Kumili 2026-09-14T13:48:00Z /news/2026/09/agoda-price-cache-dragonflydb/en