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	<title>Data observability &#8211; Noise</title>
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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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