<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	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:georss="http://www.georss.org/georss"
	xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#"
	
	>
<channel>
	<title>
	Comments on: Collectl &#038; Colplot Sytem Performance Analysis Tools	</title>
	<atom:link href="https://www.krazyworks.com/collectl-colplot-sytem-performance-analysis-tools/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.krazyworks.com/collectl-colplot-sytem-performance-analysis-tools/</link>
	<description>Networking, Systems Design, and Disaster Recovery</description>
	<lastBuildDate>Tue, 22 Jan 2019 18:45:02 +0000</lastBuildDate>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=5.7.9</generator>
	<item>
		<title>
		By: mark seger		</title>
		<link>https://www.krazyworks.com/collectl-colplot-sytem-performance-analysis-tools/comment-page-1/#comment-274793</link>

		<dc:creator><![CDATA[mark seger]]></dc:creator>
		<pubDate>Thu, 03 Sep 2015 12:14:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.krazyworks.com/?p=54826#comment-274793</guid>

					<description><![CDATA[If you haven&#039;t had a chance to look at colmux yet you should!  Think of collectl/top across a cluster, sorted by any column.  I&#039;ve used it to find the slowest disks out of thousands across hundreds of nodes.  no system manager should be without it in their toolbag.  You can even playback historical data and look for anomalies in it.
-mark]]></description>
			<content:encoded><![CDATA[<p>If you haven&#8217;t had a chance to look at colmux yet you should!  Think of collectl/top across a cluster, sorted by any column.  I&#8217;ve used it to find the slowest disks out of thousands across hundreds of nodes.  no system manager should be without it in their toolbag.  You can even playback historical data and look for anomalies in it.<br />
-mark</p>
]]></content:encoded>
		
			</item>
	</channel>
</rss>
