<?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>Consensus on Hancic Tech Blog</title><link>https://en.hancic.site/tags/consensus/</link><description>Recent content in Consensus on Hancic Tech Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 11 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://en.hancic.site/tags/consensus/index.xml" rel="self" type="application/rss+xml"/><item><title>Where Distributed Systems Complexity Comes From</title><link>https://en.hancic.site/distributed-systems-complexity/</link><pubDate>Fri, 11 Sep 2026 00:00:00 +0000</pubDate><guid>https://en.hancic.site/distributed-systems-complexity/</guid><description>The complexity of distributed systems reduces to three root problems: space, time, and consensus. Why each one resists a simple answer, how they stack, and what that means when you pick a protocol.</description></item></channel></rss>