<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>캐싱 on Korobopolly's Dev Blog</title><link>https://korobopolly.github.io/tags/%EC%BA%90%EC%8B%B1/</link><description>Recent content in 캐싱 on Korobopolly's Dev Blog</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Mon, 16 Feb 2026 13:19:00 +0900</lastBuildDate><atom:link href="https://korobopolly.github.io/tags/%EC%BA%90%EC%8B%B1/index.xml" rel="self" type="application/rss+xml"/><item><title>Spring Boot 캐싱 - Caffeine, @Cacheable, TTL 전략</title><link>https://korobopolly.github.io/posts/spring-boot-caching/</link><pubDate>Mon, 16 Feb 2026 13:19:00 +0900</pubDate><guid>https://korobopolly.github.io/posts/spring-boot-caching/</guid><description>&lt;h2 id="캐싱이란"&gt;캐싱이란&lt;/h2&gt;
&lt;p&gt;캐싱(Caching)은 자주 사용되는 데이터를 빠르게 접근할 수 있는 임시 저장소에 보관하는 기술입니다. 데이터베이스 조회, 외부 API 호출, 복잡한 연산 결과 등을 메모리에 저장하여 동일한 요청에 대해 빠르게 응답할 수 있습니다.&lt;/p&gt;
&lt;h2 id="왜-캐싱이-필요한가"&gt;왜 캐싱이 필요한가&lt;/h2&gt;
&lt;h3 id="성능-향상"&gt;성능 향상&lt;/h3&gt;
&lt;p&gt;데이터베이스 조회는 일반적으로 수십~수백 밀리초가 걸리지만, 메모리 캐시는 마이크로초 단위로 응답합니다.&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" style="color:#cdd6f4;background-color:#1e1e2e;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;"&gt;&lt;code class="language-java" data-lang="java"&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#6c7086;font-style:italic"&gt;// 캐시 없이 매번 DB 조회&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#f38ba8"&gt;public&lt;/span&gt; User &lt;span style="color:#89b4fa"&gt;getUser&lt;/span&gt;(Long id) {
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt; &lt;span style="color:#cba6f7"&gt;return&lt;/span&gt; userRepository.&lt;span style="color:#89b4fa"&gt;findById&lt;/span&gt;(id).&lt;span style="color:#89b4fa"&gt;orElseThrow&lt;/span&gt;(); &lt;span style="color:#6c7086;font-style:italic"&gt;// 평균 50ms&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#6c7086;font-style:italic"&gt;// 캐시 적용&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#89b4fa;font-weight:bold"&gt;@Cacheable&lt;/span&gt;(&lt;span style="color:#a6e3a1"&gt;&amp;#34;users&amp;#34;&lt;/span&gt;)
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#f38ba8"&gt;public&lt;/span&gt; User &lt;span style="color:#89b4fa"&gt;getUser&lt;/span&gt;(Long id) {
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt; &lt;span style="color:#cba6f7"&gt;return&lt;/span&gt; userRepository.&lt;span style="color:#89b4fa"&gt;findById&lt;/span&gt;(id).&lt;span style="color:#89b4fa"&gt;orElseThrow&lt;/span&gt;(); &lt;span style="color:#6c7086;font-style:italic"&gt;// 첫 조회 50ms, 이후 0.1ms&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h3 id="비용-절감"&gt;비용 절감&lt;/h3&gt;
&lt;p&gt;외부 API 호출이나 복잡한 연산을 캐싱하면 서버 리소스와 비용을 절감할 수 있습니다.&lt;/p&gt;</description></item></channel></rss>