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      <title>Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting</title>
      <link>https://www.infoq.com/news/2026/07/netflix-cassandra-partition/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Routing</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Netflix engineers introduced dynamic partition splitting for Cassandra to address wide partitions in time series workloads. The metadata-driven approach detects oversized partitions, splits them smaller units, and routes reads across child partitions. Netflix reported lower read latency from seconds to milliseconds, reduced timeouts, and improved cluster stability while maintaining transparency.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Cassandra</category>
      <category>Partitioning</category>
      <category>Scalability</category>
      <category>Clusters</category>
      <category>Routing</category>
      <category>Low Latency</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
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      <category>Time Series Data</category>
      <category>Data Partitioning</category>
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      <pubDate>Mon, 06 Jul 2026 14:24:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-06T14:24:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-cassandra-partition/en</dc:identifier>
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