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      <title>Inside Agoda’s Storefront: a Latency-Aware  Reverse Proxy for Improving DNS Based Load Distribution</title>
      <link>https://www.infoq.com/news/2026/03/agoda-rust-reverse-proxy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Low+Latency-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/03/agoda-rust-reverse-proxy/en/headerimage/generatedHeaderImage-1773552076467.jpg"/&gt;&lt;p&gt;Agoda engineers developed Storefront, a Rust-based S3-compatible reverse proxy that improves load balancing, request routing, and observability across large-scale object storage systems. The proxy addresses DNS-based distribution limitations, implements latency-aware routing, cross-data-center optimizations, IO safeguards, credential-less authentication, and exposes telemetry via OpenTelemetry.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>S3</category>
      <category>Rust</category>
      <category>Optimization</category>
      <category>Load Balancing</category>
      <category>Kubernetes</category>
      <category>Low Latency</category>
      <category>Cloud Tech</category>
      <category>Distributed Systems</category>
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      <pubDate>Fri, 27 Mar 2026 14:11:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-03-27T14:11:00Z</dc:date>
      <dc:identifier>/news/2026/03/agoda-rust-reverse-proxy/en</dc:identifier>
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    <item>
      <title>Inside Netflix’s Graph Abstraction: Handling 650TB of Graph Data in Milliseconds Globally</title>
      <link>https://www.infoq.com/news/2026/03/netflix-graph-abstraction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Low+Latency-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/03/netflix-graph-abstraction/en/headerimage/netflixgrapharchitecure-1773194590219.jpeg"/&gt;&lt;p&gt;Netflix engineers built Graph Abstraction, a high-throughput platform managing 650 TB of graph data with millisecond latency. Supporting services from Netflix Gaming’s social graphs to operational topology graphs, it maintains global availability via asynchronous replication. This article covers its architecture, caching, and traversal design for high-scale performance.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>KVM</category>
      <category>gRPC</category>
      <category>Low Latency</category>
      <category>Distributed Systems</category>
      <category>Clustering &amp; Caching</category>
      <category>Key-Value Store</category>
      <category>Caching</category>
      <category>Abstraction</category>
      <category>Graph Database</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Mon, 23 Mar 2026 13:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/03/netflix-graph-abstraction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Low+Latency-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-03-23T13:54:00Z</dc:date>
      <dc:identifier>/news/2026/03/netflix-graph-abstraction/en</dc:identifier>
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