<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Ramesh Raghupathy &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/author/ramesh-raghupathy/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Thu, 15 Sep 2022 16:42:14 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Optimize Ama­zon EMR costs for legacy and Spark workloads with managed scaling and node labels</title>
		<link>https://noise.getoto.net/2022/09/15/optimize-amazon-emr-costs-for-legacy-and-spark-workloads-with-managed-scaling-and-node-labels/</link>
		
		<dc:creator><![CDATA[Ramesh Raghupathy]]></dc:creator>
		<pubDate>Thu, 15 Sep 2022 16:42:14 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d9593e890d9a98b08b2100de6de3ac26</guid>

					<description><![CDATA[Customers migrating from large on-premises Hadoop clusters to Amazon EMR like to reduce their operational costs while running resilient applications. On-premises customers typically use in-elastic, large, fixed-size Hadoop clusters, which incurs high capital expenditure. You can now migrate your mixed workloads to managed scaling Amazon EMR, which saves costs without compromising performance. This solution can […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 23/47 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2026-03-05 04:28:05 by W3 Total Cache
-->