# Cache consistency: strategies to keep data fresh

DevFeed: [Cache consistency: strategies to keep data fresh](<https://devfeed.tech/articles/cache-consistency-strategies-to-keep-data-fresh-4770.md>)

Original publisher: [Read original article](<https://redis.io/blog/cache-consistency-strategies/>)

Author: Jeff Mills

Published: 2026-07-20T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>)

Tags: [cache](<https://devfeed.tech/tags/cache.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [event-driven](<https://devfeed.tech/tags/event-driven.md>), [sync](<https://devfeed.tech/tags/sync.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>)

## AI overview

A guide to cache consistency explains cache drift, staleness windows, synchronous and asynchronous updates, TTL timing, write-ordering races, and instance races.

## Source excerpt

A cache that has drifted from your database will happily serve wrong prices, expired permissions, or phantom inventory, and it won't feel a shred of guilt about it. Cache consistency is the discipline behind keeping that drift small, so cached values ...