<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Heather Downing on Blog</title><link>https://blog.djvelimir.com/tags/heather-downing/</link><description>Recent content in Heather Downing on Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Jun 2026 18:08:57 +0200</lastBuildDate><atom:link href="https://blog.djvelimir.com/tags/heather-downing/index.xml" rel="self" type="application/rss+xml"/><item><title>Distributed Databases: What Could Possibly Go Wrong?</title><link>https://blog.djvelimir.com/post/conferences/distributed-databases-what-could-possibly-go-wrong---heather-downing---ndc-sydney-2026/</link><pubDate>Mon, 15 Jun 2026 18:08:57 +0200</pubDate><guid>https://blog.djvelimir.com/post/conferences/distributed-databases-what-could-possibly-go-wrong---heather-downing---ndc-sydney-2026/</guid><description>&lt;div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;"&gt;
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&lt;p&gt;Scaling a database sounds like a great idea, but have you considered the number of ways it can fail? Add some nodes, throw in replication, and suddenly you&amp;rsquo;re explaining to stakeholders why two customers saw two different truths at the same time. Turns out distributed systems have opinions about physics - but data modeling can help.&lt;/p&gt;</description></item></channel></rss>