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    <title>InfoQ - Database</title>
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    <description>InfoQ Database feed</description>
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      <title>Presentation: Parting the Clouds: The Rise of Disaggregated Systems</title>
      <link>https://www.infoq.com/presentations/disaggregation-industrial-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</link>
      <description>&lt;img src="https://res.infoq.com/presentations/disaggregation-industrial-systems/en/mediumimage/murat-demirbas-medium-1784809202010.jpg"/&gt;&lt;p&gt;Murat Demirbas discusses the shift toward disaggregated cloud database architectures driven by cloud economics. He explains how decoupling compute from storage enables elastic scaling, cost efficiency, and fault isolation. He shares how classical Paxos roles foreshadowed disaggregation, while analyzing network tradeoffs, shared-memory evolution, and self-assembling database designs.&lt;/p&gt; &lt;i&gt;By Murat Demirbas&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>Cloud</category>
      <category>Database</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 30 Jul 2026 13:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/disaggregation-industrial-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</guid>
      <dc:creator>Murat Demirbas</dc:creator>
      <dc:date>2026-07-30T13:50:00Z</dc:date>
      <dc:identifier>/presentations/disaggregation-industrial-systems/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Compiling Workflows into Databases: the Architecture That Shouldn't Work (But Does)</title>
      <link>https://www.infoq.com/presentations/dbos/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</link>
      <description>&lt;img src="https://res.infoq.com/presentations/dbos/en/mediumimage/medium-1784107354116.jpg"/&gt;&lt;p&gt;Jeremy Edberg &amp; Qian Li discuss why external orchestrators decrease reliability and how to use your existing database for durable execution. They share how DBOS Transact uses standard tables, SKIP LOCKED queues, and unique primary keys to manage complex, fault-tolerant AI workflows with minimal latency, all without the operational overhead of separate distributed systems.&lt;/p&gt; &lt;i&gt;By Jeremy Edberg, Qian Li&lt;/i&gt;</description>
      <category>Workflow / BPM</category>
      <category>Resilience</category>
      <category>Database</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 23 Jul 2026 10:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/dbos/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database</guid>
      <dc:creator>Jeremy Edberg, Qian Li</dc:creator>
      <dc:date>2026-07-23T10:26:00Z</dc:date>
      <dc:identifier>/presentations/dbos/en</dc:identifier>
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