<?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>CAP Theorem on ToiDB</title>
    <link>https://www.toidang.xyz/tags/cap-theorem/</link>
    <description>Recent content in CAP Theorem on ToiDB</description>
    <image>
      <title>ToiDB</title>
      <url>https://www.toidang.xyz/web/static/me-512x512.png</url>
      <link>https://www.toidang.xyz/web/static/me-512x512.png</link>
    </image>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Wed, 12 Jun 2024 10:55:39 +0700</lastBuildDate>
    <atom:link href="https://www.toidang.xyz/tags/cap-theorem/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>What is CAP Theorem?</title>
      <link>https://www.toidang.xyz/posts/2024/06/03/what-is-cap-theorem/</link>
      <pubDate>Mon, 03 Jun 2024 07:08:55 +0700</pubDate>
      <guid>https://www.toidang.xyz/posts/2024/06/03/what-is-cap-theorem/</guid>
      <description>The CAP theorem is a fundamental principle in distributed systems that states that it is impossible to simultaneously achieve consistency, availability, and partition tolerance in a distributed system. In this article, we will explore the concept of the CAP theorem, its implications for distributed systems, and how developers can design systems that balance consistency, availability, and partition tolerance.</description>
    </item>
  </channel>
</rss>
