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      <title>Presentation: Wrangling Telemetry at Scale: a Guide to Self-Hosted Observability</title>
      <link>https://www.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Java-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/en/mediumimage/colin-douch-medium-1791450600829.jpeg"/&gt;&lt;p&gt;Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.&lt;/p&gt; &lt;i&gt;By Colin Douch&lt;/i&gt;</description>
      <category>Telemetry</category>
      <category>Open Source</category>
      <category>Prometheus</category>
      <category>Metrics</category>
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      <category>Observability</category>
      <category>Distributed Tracing</category>
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      <category>QCon London 2026</category>
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      <category>presentation</category>
      <pubDate>Wed, 28 Oct 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Colin Douch</dc:creator>
      <dc:date>2026-10-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/self-hosted-observability-stack-tradeoffs/en</dc:identifier>
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