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	<title>Suvojit Dasgupta &#8211; Noise</title>
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		<title>Deploy Apache YuniKorn batch scheduler for Amazon EMR on EKS</title>
		<link>https://noise.getoto.net/2025/09/02/deploy-apache-yunikorn-batch-scheduler-for-amazon-emr-on-eks/</link>
		
		<dc:creator><![CDATA[Suvojit Dasgupta]]></dc:creator>
		<pubDate>Tue, 02 Sep 2025 20:22:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post explores Kubernetes scheduling fundamentals, examines the limitations of the default kube-scheduler for batch workloads, and demonstrates how YuniKorn addresses these challenges. We discuss how to deploy YuniKorn as a custom scheduler for Amazon EMR on EKS, its integration with job submissions, how to configure queues and placement rules, and how to establish resource quotas. We also show these features in action through practical Spark job examples.]]></description>
		
		
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		<title>Configure Hadoop YARN CapacityScheduler on Amazon EMR on Amazon EC2 for multi-tenant heterogeneous workloads</title>
		<link>https://noise.getoto.net/2022/08/16/configure-hadoop-yarn-capacityscheduler-on-amazon-emr-on-amazon-ec2-for-multi-tenant-heterogeneous-workloads/</link>
		
		<dc:creator><![CDATA[Suvojit Dasgupta]]></dc:creator>
		<pubDate>Tue, 16 Aug 2022 17:46:42 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache Hadoop YARN]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[CapacityScheduler]]></category>
		<category><![CDATA[FairScheduler]]></category>
		<category><![CDATA[FIFOScheduler]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Apache Hadoop YARN (Yet Another Resource Negotiator) is a cluster resource manager responsible for assigning computational resources (CPU, memory, I/O), and scheduling and monitoring jobs submitted to a Hadoop cluster. This generic framework allows for effective management of cluster resources for distributed data processing frameworks, such as Apache Spark, Apache MapReduce, and Apache Hive. When […]]]></description>
		
		
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