<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/feed.rss.xml" type="text/xsl" media="screen"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Krishna Raj Raja</title>
    <description/>
    <link>https://speakerdeck.com/esxtopguru</link>
    <atom:link rel="self" type="application/rss+xml" href="https://speakerdeck.com/esxtopguru.rss"/>
    <lastBuildDate>2014-02-13 21:51:16 -0500</lastBuildDate>
    <item>
      <title>Big Data For Better Datacenters</title>
      <description>Despite all the recent advancements in the operations management field, data center management today still largely remains as a black art. Administrators have limited visibility into their data center operations today and yet they have to make important operations management decisions every day. A typical data center generates about a Billion data points every day. A lot of insight could be gathered from this data but due to the large volume and scale, on-premise software solutions only collect limited subset of this data. This limits them to a very narrow view of the data center. We at CloudPhysics have taken a different approach to this problem. We created an analytics platform in the cloud, that provides the ability to query, slice and dice and mashup the data with multiple data-sources. This approach not only yields incredible insights but also solves many of the teething operational management issues that have not been solved before. In this talk we give an overview of the data center metadata and provide details on how CloudPhysics handles this data at scale using its platform.</description>
      <media:content url="https://files.speakerdeck.com/presentations/8adb941077500131d57e22a403f64e0b/preview_slide_0.jpg?2606196" type="image/jpeg" medium="image"/>
      <content:encoded>Despite all the recent advancements in the operations management field, data center management today still largely remains as a black art. Administrators have limited visibility into their data center operations today and yet they have to make important operations management decisions every day. A typical data center generates about a Billion data points every day. A lot of insight could be gathered from this data but due to the large volume and scale, on-premise software solutions only collect limited subset of this data. This limits them to a very narrow view of the data center. We at CloudPhysics have taken a different approach to this problem. We created an analytics platform in the cloud, that provides the ability to query, slice and dice and mashup the data with multiple data-sources. This approach not only yields incredible insights but also solves many of the teething operational management issues that have not been solved before. In this talk we give an overview of the data center metadata and provide details on how CloudPhysics handles this data at scale using its platform.</content:encoded>
      <pubDate>Fri, 14 Feb 2014 00:00:00 -0500</pubDate>
      <link>https://speakerdeck.com/esxtopguru/big-data-for-better-datacenters</link>
      <guid>https://speakerdeck.com/esxtopguru/big-data-for-better-datacenters</guid>
    </item>
  </channel>
</rss>
