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	<title>Data reliability &#8211; Noise</title>
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		<title>The Data Canary: How Netflix Validates Catalog Metadata</title>
		<link>https://noise.getoto.net/2026/06/20/the-data-canary-how-netflix-validates-catalog-metadata/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 19 Jun 2026 23:54:17 +0000</pubDate>
				<category><![CDATA[automation]]></category>
		<category><![CDATA[Data reliability]]></category>
		<category><![CDATA[data-validation]]></category>
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		<category><![CDATA[site reliability]]></category>
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					<description><![CDATA[By Celina AmadosAt Netflix, our catalog metadata is crucial to our member experience, and a single corrupted data state can impact millions of viewers immediately. To protect streaming reliability, we built an automated data canary system that validate...]]></description>
		
		
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		<title>Improving Hugo stability and addressing oncall challenges through automation</title>
		<link>https://noise.getoto.net/2025/03/20/improving-hugo-stability-and-addressing-oncall-challenges-through-automation/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 20 Mar 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Data observability]]></category>
		<category><![CDATA[Data Pipeline]]></category>
		<category><![CDATA[Data reliability]]></category>
		<category><![CDATA[Engineering]]></category>
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					<description><![CDATA[Introduction

Hugo plays a pivotal role in enabling data ingestion for Grab’s data lake, managing over 4,000 pipelines onboarded by users. The stability of Hugo pipelines is contingent upon the health of both the data sources and various Hugo component...]]></description>
		
		
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		<title>Ensuring data reliability and observability in risk systems</title>
		<link>https://noise.getoto.net/2024/04/23/ensuring-data-reliability-and-observability-in-risk-systems/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Tue, 23 Apr 2024 00:15:10 +0000</pubDate>
				<category><![CDATA[Data observability]]></category>
		<category><![CDATA[Data reliability]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[risk]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Grab has an in-house Risk Management platform called GrabDefence which relies on ingesting large amounts of data gathered from upstream services to power our heuristic risk rules and data science models in real time.


  Fig 1. GrabDefence aggregates d...]]></description>
		
		
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