<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Cache on 蓝尾蜂鸟</title><link>https://clibing.com/tags/cache/</link><description>Recent content in Cache on 蓝尾蜂鸟</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>Copyright © 2011-2026 clibing. All Rights Reserved.</copyright><lastBuildDate>Mon, 16 Aug 2021 11:33:30 +0800</lastBuildDate><atom:link href="https://clibing.com/tags/cache/index.xml" rel="self" type="application/rss+xml"/><item><title>万金油之缓存</title><link>https://clibing.com/posts/java/cache_through/</link><pubDate>Mon, 16 Aug 2021 11:33:30 +0800</pubDate><guid>https://clibing.com/posts/java/cache_through/</guid><description>&lt;p>在互联网产品中，缓存无处不在。当一个网站前期请求量少，服务响应很快，当随着请求增加响应越来越慢。这时需要对请求的入口合并、业务调整、底层代码重构、数据库SQL与表等等优化后提高响应最终提升整体的性能，也可以引入缓存以提高吞吐量。但是引入缓存也带了维护的问题，比如脏数据的问题、缓存数据更新的策越等等。&lt;/p></description></item></channel></rss>