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	<title>Platform &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</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>
		<category><![CDATA[Platform]]></category>
		<category><![CDATA[System Architecture]]></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>How Cloudflare is powering the next generation of platforms with Workers</title>
		<link>https://noise.getoto.net/2023/05/18/how-cloudflare-is-powering-the-next-generation-of-platforms-with-workers/</link>
		
		<dc:creator><![CDATA[Nathan Disidore]]></dc:creator>
		<pubDate>Thu, 18 May 2023 13:00:01 +0000</pubDate>
				<category><![CDATA[Cloudflare Workers]]></category>
		<category><![CDATA[Developer Week]]></category>
		<category><![CDATA[Developers]]></category>
		<category><![CDATA[Platform]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Workers for Platforms is our Workers offering for customers building new platforms on Cloudflare Workers. Let’s take a look back and recap why we built Workers for Platforms, show you some of the most interesting problems our customers have been solving and share new features that are now available!]]></description>
		
		
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		<title>How we store and process millions of orders daily</title>
		<link>https://noise.getoto.net/2022/08/15/how-we-store-and-process-millions-of-orders-daily/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Mon, 15 Aug 2022 00:55:55 +0000</pubDate>
				<category><![CDATA[Data Science]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[distributed-systems]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Platform]]></category>
		<category><![CDATA[storage]]></category>
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					<description><![CDATA[Introduction

In the real world, after a passenger places a GrabFood order from the Grab App, the merchant-partner will prepare the order. A driver-partner will then collect the food and deliver it to the passenger. Have you ever wondered what happens ...]]></description>
		
		
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		<title>Optimally scaling Kafka consumer applications</title>
		<link>https://noise.getoto.net/2020/10/13/optimally-scaling-kafka-consumer-applications/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Tue, 13 Oct 2020 02:13:54 +0000</pubDate>
				<category><![CDATA[Backend]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Event Sourcing]]></category>
		<category><![CDATA[Go]]></category>
		<category><![CDATA[Kubernetes]]></category>
		<category><![CDATA[Platform]]></category>
		<category><![CDATA[stream-processing]]></category>
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					<description><![CDATA[Earlier this year, we took you on a journey on how we built and deployed our event sourcing and stream processing framework at Grab. We’re happy to share that we’re able to reliably maintain our uptime and continue to service close to 400 billion event...]]></description>
		
		
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