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      <title>Uber Redesigns M3DB Sharding with Subclusters to Limit Failure Impact</title>
      <link>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Sharding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/en/headerimage/generatedHeaderImage-1788717337142.jpg"/&gt;&lt;p&gt;Uber has redesigned shard placement in M3DB with fixed size subclusters to limit the impact of node failures, maintenance, and cluster scaling. The approach bounds shard dependencies, preserves replica isolation, and uses a greedy algorithm to select shard migrations while avoiding a separate rebalancing pass and unnecessary data movement.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Database</category>
      <category>Database Replication</category>
      <category>Load Balancing</category>
      <category>Sharding</category>
      <category>Availability</category>
      <category>Distributed Systems</category>
      <category>Clusters</category>
      <category>Scalability</category>
      <category>Time Series Data</category>
      <category>Open Source</category>
      <category>Uber</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Fault Tolerance</category>
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      <category>Development</category>
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      <pubDate>Mon, 21 Sep 2026 14:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/uber-m3db-subcluster-sharding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Sharding</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-21T14:37:00Z</dc:date>
      <dc:identifier>/news/2026/09/uber-m3db-subcluster-sharding/en</dc:identifier>
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