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	<title>Kinnar Kumar Sen &#8211; Noise</title>
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		<title>Introducing Amazon EMR on EKS with Apache Flink: A scalable, reliable, and efficient data processing platform</title>
		<link>https://noise.getoto.net/2024/05/28/introducing-amazon-emr-on-eks-with-apache-flink-a-scalable-reliable-and-efficient-data-processing-platform/</link>
		
		<dc:creator><![CDATA[Kinnar Kumar Sen]]></dc:creator>
		<pubDate>Tue, 28 May 2024 17:07:19 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Containers]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[AWS recently announced that Apache Flink is generally available for Amazon EMR on Amazon Elastic Kubernetes Service (EKS). Apache Flink is a scalable, reliable, and efficient data processing framework that handles real-time streaming and batch workloads (but is most commonly used for real-time streaming). Amazon EMR on EKS is a deployment option for Amazon EMR […]]]></description>
		
		
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		<title>Run fault tolerant and cost-optimized Spark clusters using Amazon EMR on EKS and Amazon EC2 Spot Instances</title>
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		<dc:creator><![CDATA[Kinnar Kumar Sen]]></dc:creator>
		<pubDate>Mon, 19 Dec 2022 21:57:57 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
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		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Spark]]></category>
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					<description><![CDATA[Amazon EMR on EKS is a deployment option in Amazon EMR that allows you to run Spark jobs on Amazon Elastic Kubernetes Service (Amazon EKS). Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances save you up to 90% over On-Demand Instances, and is a great way to cost optimize the Spark workloads running on Amazon […]]]></description>
		
		
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		<title>Optimizing Cloud Infrastructure Cost and Performance with Starburst on AWS</title>
		<link>https://noise.getoto.net/2021/09/17/optimizing-cloud-infrastructure-cost-and-performance-with-starburst-on-aws/</link>
		
		<dc:creator><![CDATA[Kinnar Kumar Sen]]></dc:creator>
		<pubDate>Fri, 17 Sep 2021 17:58:34 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
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					<description><![CDATA[Amazon Web Services (AWS) Cloud is elastic, convenient to use, easy to consume, and makes it simple to onboard workloads. Because of this simplicity, the cost associated with onboarding workloads is sometimes overlooked. There is a notion that when an organization moves its workload to the cloud, agility, scalability, performance, and cost issues will disappear. […]]]></description>
		
		
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