<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Scalability - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Scalability Presentations feed</description>
    <item>
      <title>Presentation: From ms to µs: OSS Valkey Architecture Patterns for Modern AI</title>
      <link>https://www.infoq.com/presentations/valkey-architecture-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Scalability-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/valkey-architecture-patterns/en/mediumimage/DumanshuGoyal-medium-1786082640468.jpg"/&gt;&lt;p&gt;Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU costs, elevated tail latencies, and blast-radius risks. He demonstrates how direct-access Valkey architectures achieve microsecond latency, improve resilience, and slash infrastructure costs.&lt;/p&gt; &lt;i&gt;By Dumanshu Goyal&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Sharding</category>
      <category>Patterns</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 06 Aug 2026 09:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/valkey-architecture-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Scalability-presentations</guid>
      <dc:creator>Dumanshu Goyal</dc:creator>
      <dc:date>2026-08-06T09:34:00Z</dc:date>
      <dc:identifier>/presentations/valkey-architecture-patterns/en</dc:identifier>
    </item>
  </channel>
</rss>
