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	<title>Gigaom Search &#187; Technologies and Products &#187; Amazon Web Services (AWS)</title>
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	<description>Amazon Web Services (AWS) is a collection of remote computing services (also called web services) that together make up a cloud computing platform, offered over the Internet by Amazon.com. The most central and well-known of these services are Amazon EC2 and Amazon S3. The service is advertised as providing a large computing capacity (potentially many servers) much faster and cheaper than building a physical server farm.</description>
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		<title>AWS EC2 C3/C4 Multicore Integer Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-integer-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-integer-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:51:06 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246647</guid>
		<description><![CDATA[The C4 family, on average, had a 14 percent increase in integer performance over the C3 family. The c4.8xlarge VMs exhibited the largest performance improvement, with a 19 percent higher integer&#8230;]]></description>
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		<title>AWS EC2 C3/C4 Multicore Floating Point Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-floating-point-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-floating-point-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:50:22 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246651</guid>
		<description><![CDATA[The C4 family on average had 13 percent higher floating point calculation performance than the C3 family. The c4.8xlarge VMs improved 21 percent higher on average floating point performance over the&#8230;]]></description>
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		<title>AWS EC2 C3/C4 Iperf Network Bandwidth Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:48:31 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246656</guid>
		<description><![CDATA[For the same size VMs, the C4 family showed nearly identical public and private network throughput as the C3 family, with an average increase of 2% for public network throughput and&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-iperf-network-bandwidth-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>AWS EC2 C3/C4 Multicore Memory Bandwidth Performance Comparison</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:48:05 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246654</guid>
		<description><![CDATA[Amazon EC2’s C4 VMs showed an approximate 6 GB/s increase in memory throughput compared to their C3 counterparts across all tested VM sizes.]]></description>
		<wfw:commentRss>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-memory-bandwidth-performance-comparison/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>AWS EC2 C3/C4 Multicore Total System Performance</title>
		<link>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-total-system-performance/</link>
		<comments>http://research.gigaom.com/chart/aws-ec2-c3c4-multicore-total-system-performance/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 15:47:22 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AWS EC2]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=246706</guid>
		<description><![CDATA[Amazon’s C4 family displayed on average a 15.6% improvement in processing performance as a result of higher integer, floating point and memory throughput performance. ]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Generational Performance Comparison: Amazon EC2’s C3 and C4 Families</title>
		<link>http://research.gigaom.com/report/generational-performance-comparison-amazon-ec2s-c3-and-c4-families/</link>
		<comments>http://research.gigaom.com/report/generational-performance-comparison-amazon-ec2s-c3-and-c4-families/#comments</comments>
		<pubDate>Mon, 09 Mar 2015 14:00:55 +0000</pubDate>
		<dc:creator><![CDATA[Anne Qingyang Liu]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[Cloud Spectator]]></category>
		<category><![CDATA[internal network]]></category>
		<category><![CDATA[memory]]></category>
		<category><![CDATA[vCPU]]></category>
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		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=246666/</guid>
		<description><![CDATA[Amazon is making efforts to provide highly predictable performance outputs and to match its C4 family’s price-performance with that of its earlier generation C3 family.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Why boring workloads trump intergalactic scale in HP&#8217;s cloud biz</title>
		<link>http://gigaom.com/2015/03/07/why-boring-workloads-trump-intergalactic-scale-in-hps-cloud-biz/</link>
		<comments>http://gigaom.com/2015/03/07/why-boring-workloads-trump-intergalactic-scale-in-hps-cloud-biz/#comments</comments>
		<pubDate>Sat, 07 Mar 2015 18:39:06 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[OpenStack]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:HPQ]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=919610</guid>
		<description><![CDATA[Although having a laugh at so-called "enterprise clouds" is a respected pastime in some circles, there's an argument to be made that they do serve a legitimate purpose. Large-scale public clouds&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/07/why-boring-workloads-trump-intergalactic-scale-in-hps-cloud-biz/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		</item>
		<item>
		<title>Microsoft faces specter of shelfware in the cloud era</title>
		<link>http://gigaom.com/2015/03/05/microsoft-faces-specter-of-shelfware-in-the-cloud-era/</link>
		<comments>http://gigaom.com/2015/03/05/microsoft-faces-specter-of-shelfware-in-the-cloud-era/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 15:53:39 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[shelfware]]></category>
		<category><![CDATA[zombie cloud resources]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=919047</guid>
		<description><![CDATA[The notion that pay-as-you-go cloud computing will eliminate shelfware -- paid-for but unused computing resources -- has always been suspect. Last year I wrote that the proliferation of unused compute instances resulting in&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/05/microsoft-faces-specter-of-shelfware-in-the-cloud-era/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>New Relic drafts former Oracle exec to lead biz dev</title>
		<link>http://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/</link>
		<comments>http://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 14:00:37 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[application performance monitoring]]></category>
		<category><![CDATA[application performance monitoring startup]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=918968</guid>
		<description><![CDATA[New Relic has named John Gray, a former long-time channel exec for Oracle, as its new SVP of business development. Gray, who was most recently at LivePerson, brings long experience dealing&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Google gets chatty about live migration while AWS stays mum</title>
		<link>http://gigaom.com/2015/03/04/google-gets-chatty-about-live-migration-while-aws-stays-mum/</link>
		<comments>http://gigaom.com/2015/03/04/google-gets-chatty-about-live-migration-while-aws-stays-mum/#comments</comments>
		<pubDate>Wed, 04 Mar 2015 15:52:25 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud reboots]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=918661</guid>
		<description><![CDATA[On Monday, Amazon wanted us to know that its staff worked day and night to avert planned reboots of cloud instances and updated a blog post to flag that information. But it&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/04/google-gets-chatty-about-live-migration-while-aws-stays-mum/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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