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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=API+Gateway</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>Cloud</category>
      <category>Google Cloud</category>
      <category>API Gateway</category>
      <category>Google</category>
      <category>Streaming</category>
      <category>Large language models</category>
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      <pubDate>Thu, 05 Nov 2026 16:00:00 GMT</pubDate>
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      <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>Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools</title>
      <link>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=API+Gateway</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Uber has built an MCP Gateway to standardize how AI agents discover and invoke internal services across more than 800 MCP servers and 5,000 tools. The gateway separates tool registration from runtime execution and includes automated API discovery, access controls, sensitive data redaction, incremental tool discovery through Omni MCP, and response filtering.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>gRPC</category>
      <category>Thrift</category>
      <category>REST</category>
      <category>Service Discovery</category>
      <category>API Gateway</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Distributed Systems</category>
      <category>Microservices</category>
      <category>Infrastructure</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=API+Gateway</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-11-02T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/11/uber-mcp-gateway-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash Cuts Grocery Reorder Latency from 16 to 2 Seconds with AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=API+Gateway</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash reduced grocery reorder latency from 16 to 2 seconds by precomputing recurring purchase needs using batch LLM inference and deterministic validation. Live catalog resolution keeps product selections current, while an editable shopping interface avoids unnecessary model calls. The company reports that shopping list views doubled and the flow’s order rate increased by approximately 34%&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Orchestration</category>
      <category>API Gateway</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Architecture</category>
      <category>Data Catalog</category>
      <category>Model Inference</category>
      <category>Low Latency</category>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 13:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=API+Gateway</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-30T13:31:00Z</dc:date>
      <dc:identifier>/news/2026/10/doordash-ai-grocery-reorder/en</dc:identifier>
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