# Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB

DevFeed: [Agoda Replaces 72-Shard SQL Server Price Cache with DragonflyDB](<https://devfeed.tech/articles/agoda-replaces-72-shard-sql-server-price-cache-with-dragonflydb-21543.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/agoda-price-cache-dragonflydb/>)

Author: Leela Kumili

Published: 2026-09-14T13:48:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Cache](<https://devfeed.tech/topics/cache.md>), [Caching](<https://devfeed.tech/topics/caching.md>), [migration](<https://devfeed.tech/topics/migration.md>), [sql-server](<https://devfeed.tech/topics/sql-server.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Prometheus](<https://devfeed.tech/topics/prometheus.md>)

Tags: [a-b-testing](<https://devfeed.tech/tags/a-b-testing.md>), [agoda-price-cache-dragonflydb](<https://devfeed.tech/tags/agoda-price-cache-dragonflydb.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [cache](<https://devfeed.tech/tags/cache.md>), [caching](<https://devfeed.tech/tags/caching.md>), [development](<https://devfeed.tech/tags/development.md>), [devops](<https://devfeed.tech/tags/devops.md>), [distributed-cache](<https://devfeed.tech/tags/distributed-cache.md>), [distributed-data](<https://devfeed.tech/tags/distributed-data.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [latency](<https://devfeed.tech/tags/latency.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [migration](<https://devfeed.tech/tags/migration.md>), [news](<https://devfeed.tech/tags/news.md>), [prometheus](<https://devfeed.tech/tags/prometheus.md>), [redis](<https://devfeed.tech/tags/redis.md>), [sql-server](<https://devfeed.tech/tags/sql-server.md>)

## AI overview

Agoda migrated its 1.5 TB hotel Price Cache from 72 Microsoft SQL Server shards to DragonflyDB. The staged migration used workload testing, dual reads, parity metrics, and gradual traffic shifting; Agoda reported substantially lower P99 read latency.

## Source excerpt

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. By Leela Kumili