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	<title>System Architecture &#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>
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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>Building a Spark observability product with StarRocks: Real-time and historical performance analysis</title>
		<link>https://noise.getoto.net/2025/03/06/building-a-spark-observability-product-with-starrocks-real-time-and-historical-performance-analysis/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 06 Mar 2025 00:00:10 +0000</pubDate>
				<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[data-engineering]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Real-time Analytics]]></category>
		<category><![CDATA[Spark Observability]]></category>
		<category><![CDATA[StarRocks]]></category>
		<category><![CDATA[System Architecture]]></category>
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					<description><![CDATA[Introduction

At Grab, we’ve been working to perfect our Spark observability tools. Our initial solution, Iris, was developed to provide a custom, in-depth observability tool for Spark jobs. As described in our previous blog post, Iris collects and ana...]]></description>
		
		
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