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	<title>Kashif Khan &#8211; Noise</title>
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		<title>Amazon EMR Serverless observability, Part 1: Monitor Amazon EMR Serverless workers in near real time using Amazon CloudWatch</title>
		<link>https://noise.getoto.net/2024/09/27/amazon-emr-serverless-observability-part-1-monitor-amazon-emr-serverless-workers-in-near-real-time-using-amazon-cloudwatch/</link>
		
		<dc:creator><![CDATA[Kashif Khan]]></dc:creator>
		<pubDate>Fri, 27 Sep 2024 18:09:15 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Monitoring and observability]]></category>
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					<description><![CDATA[We have launched job worker metrics in Amazon CloudWatch for EMR Serverless. This feature allows you to monitor vCPUs, memory, ephemeral storage, and disk I/O allocation and usage metrics at an aggregate worker level for your Spark and Hive jobs. This post is part of a series about EMR Serverless observability. In this post, we discuss how to use these CloudWatch metrics to monitor EMR Serverless workers in near real time.]]></description>
		
		
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