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> <channel><title>IPHere &#187; Pain</title> <atom:link href="https://www.iphere.com/tag/pain/feed" rel="self" type="application/rss+xml" /><link>https://www.iphere.com</link> <description>We show your current IP</description> <lastBuildDate>Wed, 03 Aug 2022 14:13:56 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.6.1</generator> <item><title>Twitter Prepares IPO, Facebook Pain In Mind</title><link>https://www.iphere.com/twitter-prepares-ipo-facebook-pain-in-mind</link> <comments>https://www.iphere.com/twitter-prepares-ipo-facebook-pain-in-mind#comments</comments> <pubDate>Fri, 13 Sep 2013 14:12:50 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Facebook]]></category> <category><![CDATA[Mind]]></category> <category><![CDATA[Pain]]></category> <category><![CDATA[Prepares]]></category> <category><![CDATA[Twitter]]></category> <guid
isPermaLink="false">http://www.iphere.com/twitter-prepares-ipo-facebook-pain-in-mind</guid> <description><![CDATA[Twitter on Thursday said it has filed documents with the Securities and Exchange Commission for an Initial Public Offering. The long-expected announcement arrived, appropriately enough, as a tweet. We&#8217;ve confidentially submitted an S-1 to the SEC for a planned IPO. This Tweet does not constitute an offer of any securities for sale. &#8212; Twitter (@twitter) [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/twitter-prepares-ipo-facebook-pain-in-mind/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>VMware Tackles Server Log Data Pain</title><link>https://www.iphere.com/vmware-tackles-server-log-data-pain</link> <comments>https://www.iphere.com/vmware-tackles-server-log-data-pain#comments</comments> <pubDate>Mon, 17 Jun 2013 08:13:33 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[data]]></category> <category><![CDATA[Pain]]></category> <category><![CDATA[Server]]></category> <category><![CDATA[Tackles]]></category> <category><![CDATA[VMware]]></category> <guid
isPermaLink="false">http://www.iphere.com/vmware-tackles-server-log-data-pain</guid> <description><![CDATA[VMware is applying big data analytics to server log files to get information useful in real-time operations, which is usually mined after the fact for historical purposes. VCenter Log Insight is a stand-alone product being added to VMware&#8217;s lineup. With a $ 200 license fee per monitored operating system , it&#8217;s meant to work hand-in-glove [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/vmware-tackles-server-log-data-pain/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Cisco&#8217;s Private Cloud: Pain And Profit</title><link>https://www.iphere.com/ciscos-private-cloud-pain-and-profit</link> <comments>https://www.iphere.com/ciscos-private-cloud-pain-and-profit#comments</comments> <pubDate>Thu, 24 Jan 2013 08:14:19 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Cisco's]]></category> <category><![CDATA[Cloud]]></category> <category><![CDATA[Pain]]></category> <category><![CDATA[Private]]></category> <category><![CDATA[Profit]]></category> <guid
isPermaLink="false">http://www.iphere.com/ciscos-private-cloud-pain-and-profit</guid> <description><![CDATA[Cisco is not a cloud service provider, but it has an expanding suite of products under the label &#8220;Cisco Intelligent Automation for Cloud 3.1.&#8221; With it, Cisco is building out a private cloud across seven major data centers in hopes that its experience will serve as a model for customers to build out their own [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/ciscos-private-cloud-pain-and-profit/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Enterasys Addresses Wired-Wireless Pain</title><link>https://www.iphere.com/enterasys-addresses-wired-wireless-pain</link> <comments>https://www.iphere.com/enterasys-addresses-wired-wireless-pain#comments</comments> <pubDate>Thu, 26 Jan 2012 20:13:40 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Addresses]]></category> <category><![CDATA[Enterasys]]></category> <category><![CDATA[Pain]]></category> <category><![CDATA[WiredWireless]]></category> <guid
isPermaLink="false">http://www.iphere.com/enterasys-addresses-wired-wireless-pain</guid> <description><![CDATA[Network equipment vendor Enterasys is tackling the growing problem of managing wired and wireless devices with the latest addition to its suite of fabric network management technology, the OneFabric Edge Architecture. The combined wired-wireless management fabric relieves a number of network management headaches, especially in situations where the wired network is often managed by one [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/enterasys-addresses-wired-wireless-pain/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Big Data A Big Pain In The Network</title><link>https://www.iphere.com/big-data-a-big-pain-in-the-network</link> <comments>https://www.iphere.com/big-data-a-big-pain-in-the-network#comments</comments> <pubDate>Wed, 14 Dec 2011 02:14:41 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[data]]></category> <category><![CDATA[Network]]></category> <category><![CDATA[Pain]]></category> <guid
isPermaLink="false">http://www.iphere.com/big-data-a-big-pain-in-the-network</guid> <description><![CDATA[A new study reports that datacenter-to-datacenter connectivity is a &#8216;silent killer&#8217; for big data deployments, according to Infineta Systems, a provider of WAN optimization systems for &#8216;big traffic&#8217;, with a vested interest in big data networking. The study, conducted by Infineta in collaboration with Internet Research Group (IRG), examines the intersection of big data and [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/big-data-a-big-pain-in-the-network/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> </channel> </rss>