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      <title>Presentation: From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix</title>
      <link>https://www.infoq.com/presentations/stream-pipeline-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Event+Stream+Processing-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/stream-pipeline-observability/en/mediumimage/medium-sujana-sooreddy-naveen-mareddy-1766067087244.jpg"/&gt;&lt;p&gt;Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.&lt;/p&gt; &lt;i&gt;By Sujana Sooreddy, Naveen Mareddy&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Observability</category>
      <category>QCon London 2025</category>
      <category>Event Stream Processing</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Fri, 02 Jan 2026 09:02:00 GMT</pubDate>
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      <dc:creator>Sujana Sooreddy, Naveen Mareddy</dc:creator>
      <dc:date>2026-01-02T09:02:00Z</dc:date>
      <dc:identifier>/presentations/stream-pipeline-observability/en</dc:identifier>
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