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	<title>Sumalatha Bachu &#8211; Noise</title>
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		<title>How FINRA established real-time operational observability for Amazon EMR big data workloads on Amazon EC2 with Prometheus and Grafana</title>
		<link>https://noise.getoto.net/2024/11/15/how-finra-established-real-time-operational-observability-for-amazon-emr-big-data-workloads-on-amazon-ec2-with-prometheus-and-grafana/</link>
		
		<dc:creator><![CDATA[Sumalatha Bachu]]></dc:creator>
		<pubDate>Fri, 15 Nov 2024 16:01:02 +0000</pubDate>
				<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Management & Governance]]></category>
		<category><![CDATA[Monitoring and observability]]></category>
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					<description><![CDATA[FINRA performs big data processing with large volumes of data and workloads with varying instance sizes and types on Amazon EMR. Amazon EMR is a cloud-based big data environment designed to process large amounts of data using open source tools such as Hadoop, Spark, HBase, Flink, Hudi, and Presto. In this post, we talk about our challenges and show how we built an observability framework to provide operational metrics insights for big data processing workloads on Amazon EMR on Amazon Elastic Compute Cloud (Amazon EC2) clusters.]]></description>
		
		
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