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	<title>Discussion on: Mapping HP Software to the Data Center Automation Blueprint</title>
	<link>http://itknowledgeexchange.techtarget.com/data-center-automation/mapping-hp-software-to-the-data-center-automation-blueprint/</link>
	<description></description>
	<pubDate>Sun, 07 Sep 2008 18:21:01 +0000</pubDate>
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		<title>By: Shenning</title>
		<link>http://itknowledgeexchange.techtarget.com/data-center-automation/mapping-hp-software-to-the-data-center-automation-blueprint/#comment-136</link>
		<author>Shenning</author>
		<pubDate>Fri, 18 Apr 2008 22:01:58 +0000</pubDate>
		<guid>http://itknowledgeexchange.techtarget.com/data-center-automation/mapping-hp-software-to-the-data-center-automation-blueprint/#comment-136</guid>
		<description>No question that HP's portfolio is lacking a proactive performance analytics solution as you mention, Ryan. However, IBM is in the same boat (their Tivoli Performance Analyzer is more of an capacity planning tool than a real time proactive analytics solution) as is CA. Of course, as we have been discussing, the increasing complexity and size of IT infrastructures has driven real-time analytics solutions to "must have" status. I'm sure we'll see HP, IBM and CA compelled to address this hole in their portfolios...

Since you mentioned Integrien in the company of others, I'd also like to differentiate our solution, Integrien Alive, from Netuitive and BMC/ProactiveNet. While these solutions have an ability to learn the normal behavior of IT infrastructure components (with varying levels of algorithmic sophistication - but lets leave that alone for the time being), Integrien Alive additionally takes a problem-focused approach to proactive alerting. Integrien Alive is the only solution available that can automatically model IT problems based on business performance, user experience, or even IT infrastructure key indicators being breached. These models pinpoint the causes of IT problems that impact the business (e.g., application server tier, database tier) [I]in the context[/I] of the problem itself. This speeds MTTI/MTTR and eliminates costly bridge calls. Now, once one of these models (or "Problem Fingerprints") has been captured, we can predict re-occurences of that problem. This is a huge differentiator and much different behavior than other tools, which simply look at the percentage of abnormal behaviors evident and send "proactive" alerts when a certain threshold is breached. While this is somewhat better than static-threshold based monitoring, it certainly isn't optimal and provides no real context for the alert. A high amount of abnormal behavior may or may not actually be a problem. Having a problem focused approach rather than a utilization focused approach is an absolute necessity.</description>
		<content:encoded><![CDATA[<p>No question that HP&#8217;s portfolio is lacking a proactive performance analytics solution as you mention, Ryan. However, IBM is in the same boat (their Tivoli Performance Analyzer is more of an capacity planning tool than a real time proactive analytics solution) as is CA. Of course, as we have been discussing, the increasing complexity and size of IT infrastructures has driven real-time analytics solutions to &#8220;must have&#8221; status. I&#8217;m sure we&#8217;ll see HP, IBM and CA compelled to address this hole in their portfolios&#8230;</p>
<p>Since you mentioned Integrien in the company of others, I&#8217;d also like to differentiate our solution, Integrien Alive, from Netuitive and BMC/ProactiveNet. While these solutions have an ability to learn the normal behavior of IT infrastructure components (with varying levels of algorithmic sophistication - but lets leave that alone for the time being), Integrien Alive additionally takes a problem-focused approach to proactive alerting. Integrien Alive is the only solution available that can automatically model IT problems based on business performance, user experience, or even IT infrastructure key indicators being breached. These models pinpoint the causes of IT problems that impact the business (e.g., application server tier, database tier) <i>in the context</i> of the problem itself. This speeds MTTI/MTTR and eliminates costly bridge calls. Now, once one of these models (or &#8220;Problem Fingerprints&#8221;) has been captured, we can predict re-occurences of that problem. This is a huge differentiator and much different behavior than other tools, which simply look at the percentage of abnormal behaviors evident and send &#8220;proactive&#8221; alerts when a certain threshold is breached. While this is somewhat better than static-threshold based monitoring, it certainly isn&#8217;t optimal and provides no real context for the alert. A high amount of abnormal behavior may or may not actually be a problem. Having a problem focused approach rather than a utilization focused approach is an absolute necessity.</p>
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