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      <title>Uber Achieves 150M Reads per Second with CacheFront Improvements</title>
      <link>https://www.infoq.com/news/2025/10/uber-cachefront-150m-reads/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Flux-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/10/uber-cachefront-150m-reads/en/headerimage/twitter_card-1758938429078.jpg"/&gt;&lt;p&gt;Uber has updated its CacheFront architecture to handle over 150 million reads per second. The new design improves consistency and reduces stale reads by integrating Flux for MySQL binlog tailing, enhancing the storage engine, and introducing Cache Inspector for monitoring and optimization.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Low Latency</category>
      <category>Redis</category>
      <category>Caching</category>
      <category>Flux</category>
      <category>MySQL</category>
      <category>Change Data Capture</category>
      <category>Uber</category>
      <category>Query</category>
      <category>Performance &amp; Scalability</category>
      <category>Consistency</category>
      <category>Storage</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 06 Oct 2025 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/10/uber-cachefront-150m-reads/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Flux-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2025-10-06T14:00:00Z</dc:date>
      <dc:identifier>/news/2025/10/uber-cachefront-150m-reads/en</dc:identifier>
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