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    <title>InfoQ - Distributed Systems - News</title>
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    <description>InfoQ Distributed Systems News feed</description>
    <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=Distributed+Systems-news</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>Model Context Protocol (MCP)</category>
      <category>Service Discovery</category>
      <category>Agents</category>
      <category>REST</category>
      <category>Thrift</category>
      <category>Microservices</category>
      <category>API Gateway</category>
      <category>Infrastructure</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</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=Distributed+Systems-news</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>Netflix Treats GPU Reliability as a Distributed Systems Problem</title>
      <link>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/netflix-gpu-distributed-systems/en/headerimage/generatedHeaderImage-1792576903003.jpg"/&gt;&lt;p&gt;Netflix has detailed how it is building a reliability platform for large-scale GPU training and inference, using layered health checks, automated remediation, and fault-tolerant training to keep jobs running despite hardware failures.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Kubernetes</category>
      <category>Hardware</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>GPU</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-10-30T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/netflix-gpu-distributed-systems/en</dc:identifier>
    </item>
    <item>
      <title>How Anthropic Redesigned Source Control for AI-Driven Development</title>
      <link>https://www.infoq.com/news/2026/10/anthropic-source-control/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/anthropic-source-control/en/headerimage/scion-architecture-header-1792669549048.jpeg"/&gt;&lt;p&gt;Anthropic recently detailed how it migrated its monorepo from Git to Scion. Scion is a source control system that moves repository operations to the server side and uses content-addressed storage and tiered caches for agent and CI workloads. The design sacrifices offline independence for less local data and shared infrastructure.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Version Control</category>
      <category>AI Development</category>
      <category>Git</category>
      <category>Anthropic</category>
      <category>Source Control</category>
      <category>Distributed Systems</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 11:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/anthropic-source-control/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Distributed+Systems-news</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-10-27T11:25:00Z</dc:date>
      <dc:identifier>/news/2026/10/anthropic-source-control/en</dc:identifier>
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