<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Service Applications on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/multi-service-applications/</link><description>Recent content in Multi-Service Applications on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 04 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/multi-service-applications/index.xml" rel="self" type="application/rss+xml"/><item><title>Project: Database &amp;amp; Caching with Docker Compose</title><link>https://ai-blog.noorshomelab.dev/docker-mastery-2025/chapter-13-project-database-caching/</link><pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/docker-mastery-2025/chapter-13-project-database-caching/</guid><description>&lt;h2 id="introduction-building-a-multi-service-application"&gt;Introduction: Building a Multi-Service Application&lt;/h2&gt;
&lt;p&gt;Welcome back, intrepid Docker explorer! So far, we&amp;rsquo;ve learned how to containerize individual applications and use Docker Compose to manage a few related services. But what about the truly complex, real-world applications? Almost every application needs to store data, and many benefit from fast data access through caching.&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;re going to level up our Docker Compose skills by integrating two crucial components into our application stack: a &lt;strong&gt;database&lt;/strong&gt; for persistent data storage and a &lt;strong&gt;caching service&lt;/strong&gt; for blazing-fast data retrieval. We&amp;rsquo;ll use PostgreSQL as our database and Redis as our caching layer, all orchestrated seamlessly with Docker Compose. This is where the magic of creating interconnected, robust applications truly shines!&lt;/p&gt;</description></item></channel></rss>