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      <title>Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale</title>
      <link>https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AIOps-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-observability-aiops-ontology-scale/en/mediumimage/medium-1790845339712.jpg"/&gt;&lt;p&gt;Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems.&lt;/p&gt; &lt;i&gt;By Prasanna Vijayanathan, Renzo Sanchez-Silva&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Site Reliability Engineering</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Ontology</category>
      <category>Observability</category>
      <category>Telemetry</category>
      <category>AIOps</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 09 Oct 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Prasanna Vijayanathan, Renzo Sanchez-Silva</dc:creator>
      <dc:date>2026-10-09T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-observability-aiops-ontology-scale/en</dc:identifier>
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    <item>
      <title>Presentation: Beyond Observability: Evolving Production Operations in the Age of AI</title>
      <link>https://www.infoq.com/presentations/ai-production-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AIOps-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-production-operations/en/mediumimage/infoq-live-medium-1790856304338.jpg"/&gt;&lt;p&gt;The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural practices help engineering teams build more understandable systems, while exploring how AI reshapes software delivery and changes the historically deterministic nature of production applications.&lt;/p&gt; &lt;i&gt;By Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio&lt;/i&gt;</description>
      <category>Incident Response</category>
      <category>InfoQ Live</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Automation</category>
      <category>Observability</category>
      <category>InfoQ Live - September 2026</category>
      <category>AIOps</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 01 Oct 2026 12:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-production-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AIOps-presentations</guid>
      <dc:creator>Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio</dc:creator>
      <dc:date>2026-10-01T12:30:00Z</dc:date>
      <dc:identifier>/presentations/ai-production-operations/en</dc:identifier>
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