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	<title>Druid &#8211; Noise</title>
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		<title>Scaling Muse: How Netflix Powers Data-Driven Creative Insights at Trillion-Row Scale</title>
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		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 21:24:20 +0000</pubDate>
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					<description><![CDATA[By Andrew Pierce, Chris Thrailkill, Victor ChiapaikeoAt Netflix, we prioritize getting timely data and insights into the hands of the people who can act on them. One of our key internal applications for this purpose is Muse. Muse’s ultimate goal is to ...]]></description>
		
		
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		<title>How Netflix uses eBPF flow logs at scale for network insight</title>
		<link>https://noise.getoto.net/2021/06/07/how-netflix-uses-ebpf-flow-logs-at-scale-for-network-insight/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 07 Jun 2021 19:12:44 +0000</pubDate>
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					<description><![CDATA[By Alok Tiagi, Hariharan Ananthakrishnan, Ivan Porto Carrero and Keerti LakshminarayanNetflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. At much less than 1% of ...]]></description>
		
		
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