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      <title>AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%</title>
      <link>https://www.infoq.com/news/2026/06/aws-random-graph-data-center/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-random-graph-data-center/en/headerimage/generatedHeaderImage-1780475849954.jpg"/&gt;&lt;p&gt;AWS disclosed that Resilient Network Graphs, a flat network architecture based on quasi-random graph theory, is now the default for most new data center builds. The design replaces fat-tree hierarchies with direct ToR-to-ToR mesh connections using passive optical ShuffleBoxes, cutting routers by 69%, boosting throughput by 33%, and reducing network power consumption by 40%.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Infrastructure</category>
      <category>Deployment / Datacenter</category>
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      <pubDate>Thu, 04 Jun 2026 08:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-random-graph-data-center/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-06-04T08:25:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-random-graph-data-center/en</dc:identifier>
    </item>
    <item>
      <title>Inside Google’s System for Coordinated A/B Testing across its Global Service Fleet</title>
      <link>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/google-fleet-ab-experimentation/en/headerimage/generatedHeaderImage-1779569949510.jpg"/&gt;&lt;p&gt;Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>Data-Driven Decision Making Series</category>
      <category>Feature Toggle</category>
      <category>Infrastructure</category>
      <category>Platforms</category>
      <category>Systems Thinking</category>
      <category>Logging</category>
      <category>User Experience</category>
      <category>A/B Testing</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 03 Jun 2026 14:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-03T14:54:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-fleet-ab-experimentation/en</dc:identifier>
    </item>
    <item>
      <title>AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes</title>
      <link>https://www.infoq.com/news/2026/05/ai-nginx-higress/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/ai-nginx-higress/en/headerimage/generatedHeaderImage-1779528783880.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 minutes, demonstrating how artificial intelligence is increasingly being applied to modernize Kubernetes networking and gateway infrastructure.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Artificial Intelligence</category>
      <category>Infrastructure</category>
      <category>Infrastructure as Code</category>
      <category>NGINX</category>
      <category>migration</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 29 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/ai-nginx-higress/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Infrastructure-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-05-29T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/ai-nginx-higress/en</dc:identifier>
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