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    <title>InfoQ - Distributed Systems</title>
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    <description>InfoQ Distributed Systems feed</description>
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      <title>Presentation: Latency: the Race to Zero...Are We There Yet?</title>
      <link>https://www.infoq.com/presentations/latency-techniques/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/presentations/latency-techniques/en/mediumimage/amir-langer-medium-1774444318217.jpg"/&gt;&lt;p&gt;Amir Langer discusses the evolution of latency reduction, from the Pony Express to modern hardware. He explains how separation of concerns - decoupling business logic from I/O - and tools like Aeron and the Disruptor achieve single-digit microsecond speeds. He shares insights into replicated state machines, consensus protocols like Raft, and the future of low-latency sequencer architectures.&lt;/p&gt; &lt;i&gt;By Amir Langer&lt;/i&gt;</description>
      <category>QCon London 2025</category>
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      <category>Low Latency</category>
      <category>Distributed Systems</category>
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      <category>Architecture &amp; Design</category>
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      <pubDate>Fri, 10 Apr 2026 14:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/latency-techniques/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Amir Langer</dc:creator>
      <dc:date>2026-04-10T14:28:00Z</dc:date>
      <dc:identifier>/presentations/latency-techniques/en</dc:identifier>
    </item>
    <item>
      <title>Pinterest Reduces Spark OOM Failures by 96% through Auto Memory Retries</title>
      <link>https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/pinterest-spark-oom-reduction/en/headerimage/workflow-1775338668860.jpeg"/&gt;&lt;p&gt;Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Big Data</category>
      <category>Optimization</category>
      <category>Cost Optimization</category>
      <category>Memory</category>
      <category>Architecture Analysis</category>
      <category>Batch Processing</category>
      <category>Observability</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Apache Spark</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Mon, 06 Apr 2026 14:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-06T14:32:00Z</dc:date>
      <dc:identifier>/news/2026/04/pinterest-spark-oom-reduction/en</dc:identifier>
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    <item>
      <title>Article: Replacing Database Sequences at Scale without Breaking 100+ Services</title>
      <link>https://www.infoq.com/articles/replacing-database-sequences/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</link>
      <description>&lt;img src="https://res.infoq.com/articles/replacing-database-sequences/en/headerimage/replacing-database-sequences-header-1774603762739.jpg"/&gt;&lt;p&gt;The article discusses the challenges faced during a migration from a relational database to NoSQL, focusing on the importance of database sequences for unique identifiers. It outlines the development of a new sequence service using DynamoDB and a two-tier caching architecture.&lt;/p&gt; &lt;i&gt;By Saumya Tyagi&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Dynamo DB</category>
      <category>NoSQL</category>
      <category>Distributed Systems</category>
      <category>Caching</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 03 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/replacing-database-sequences/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems</guid>
      <dc:creator>Saumya Tyagi</dc:creator>
      <dc:date>2026-04-03T09:00:00Z</dc:date>
      <dc:identifier>/articles/replacing-database-sequences/en</dc:identifier>
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