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      <title>Google Cloud API Gateway Introduces Streaming Support for Real-Time and AI-Powered Applications</title>
      <link>https://www.infoq.com/news/2026/11/gcp-api-gateway-streaming/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Streaming-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/gcp-api-gateway-streaming/en/headerimage/google-adk-java-1-0-1793893770890.jpeg"/&gt;&lt;p&gt;Google has announced the public preview of streaming support for API Gateway, extending its traditional request-response model to support applications requiring real-time communication. According to Google, this is particularly relevant for AI applications that provide streaming model responses, multi-step agent workflows, and interactive sessions.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>API Gateway</category>
      <category>Google</category>
      <category>Streaming</category>
      <category>Google Cloud</category>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Large language models</category>
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      <pubDate>Thu, 05 Nov 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/gcp-api-gateway-streaming/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Streaming-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-11-05T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/gcp-api-gateway-streaming/en</dc:identifier>
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    <item>
      <title>Airbnb Cuts Recommendation Staleness from 2 Days to Seconds with Chronon</title>
      <link>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Streaming-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Airbnb extended its Chronon feature platform with Push Mode and Near Real-Time Model Transform to update sequence-based recommendation embeddings within seconds. The architecture reduced embedding staleness from nearly two days to under a minute and improved offline NDCG by 1.67%, while online testing increased uncancelled bookings by approximately one-third of a percent.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Batch Processing</category>
      <category>Real Time</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>Machine Learning</category>
      <category>Platforms</category>
      <category>MLOps</category>
      <category>Transformer models</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 28 Oct 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Streaming-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-28T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/10/airbnb-chronon-recommendation/en</dc:identifier>
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