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    <title>InfoQ - Optimization - News</title>
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      <title>Cloudflare Cuts 100 TB of Memory from 1.1.1.1 DNS Cache</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-dns-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Optimization-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-dns-cache/en/headerimage/generatedHeaderImage-1788755192272.jpg"/&gt;&lt;p&gt;Cloudflare redesigned the in-memory representation of its Big Pineapple DNS cache, reducing the per-entry footprint by 56% and freeing roughly 100 TB of working-set memory across its fleet. The Rust-based changes also increased cache insertion throughput by 43% and reduced lookup latency by 19%, while enabling Cloudflare to increase cache capacity without additional memory.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>DNS</category>
      <category>Scalability</category>
      <category>Caching</category>
      <category>Cloudflare</category>
      <category>Performance</category>
      <category>Infrastructure</category>
      <category>Memory</category>
      <category>Rust</category>
      <category>Distributed Systems</category>
      <category>Optimization</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 23 Sep 2026 13:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-dns-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Optimization-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-23T13:22:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-dns-cache/en</dc:identifier>
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    <item>
      <title>From Memory-Hungry HNSW to Quantized SPANN: the Technical Evolution of Pinterest's Manas Platform</title>
      <link>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Optimization-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/pinterest-search/en/headerimage/HG-1789489973604.jpg"/&gt;&lt;p&gt;Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and is transitioning to multi-vector models for refined relevance matching.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Search</category>
      <category>Algorithms</category>
      <category>Infrastructure</category>
      <category>Optimization</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Optimization-news</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-16T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/pinterest-search/en</dc:identifier>
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