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    <title>InfoQ - Reliability</title>
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      <title>Uber Automates Dependency Analysis across its Service Mesh</title>
      <link>https://www.infoq.com/news/2026/10/uber-automated-dependency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Reliability</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/uber-automated-dependency/en/headerimage/generatedHeaderImage-1791060253143.jpg"/&gt;&lt;p&gt;Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail-close, fail-open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s large service mesh.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Middleware</category>
      <category>Failure</category>
      <category>Dependency Management</category>
      <category>OpenTelemetry</category>
      <category>Middleware management</category>
      <category>Microservices</category>
      <category>Reliability</category>
      <category>Observability</category>
      <category>Distributed Tracing</category>
      <category>RPC</category>
      <category>Service Mesh</category>
      <category>Service Reliability</category>
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      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 14:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/uber-automated-dependency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Reliability</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-16T14:39:00Z</dc:date>
      <dc:identifier>/news/2026/10/uber-automated-dependency/en</dc:identifier>
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    <item>
      <title>Presentation: How to Find Resilience Bugs in Systems that Don't Exist</title>
      <link>https://www.infoq.com/presentations/formal-methods-principles/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Reliability</link>
      <description>&lt;img src="https://res.infoq.com/presentations/formal-methods-principles/en/mediumimage/hillel-wayne-medium-1790846078119.jpeg"/&gt;&lt;p&gt;Hillel Wayne discusses how formal methods principles - such as property strength, state-space verification, and environment assumptions - help software engineers uncover critical architectural bugs early. He shares practical mental models like "adversarial non-determinism" to reason about concurrency, edge cases, and distributed system failures without needing complex mathematical tools.&lt;/p&gt; &lt;i&gt;By Hillel Wayne&lt;/i&gt;</description>
      <category>Debugging</category>
      <category>Concurrency</category>
      <category>Resilience</category>
      <category>Reliability</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>Verification</category>
      <category>Distributed Systems</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 14 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/formal-methods-principles/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Reliability</guid>
      <dc:creator>Hillel Wayne</dc:creator>
      <dc:date>2026-10-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/formal-methods-principles/en</dc:identifier>
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