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	<title>stu.mp &#187; lamp</title>
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		<title>Wikipedia: cheap &amp; exmplosive scaling with LAMP</title>
		<link>http://stu.mp/2006/04/wikipedia-cheap-exmplosive-scaling-with-lamp.html</link>
		<comments>http://stu.mp/2006/04/wikipedia-cheap-exmplosive-scaling-with-lamp.html#comments</comments>
		<pubDate>Wed, 26 Apr 2006 19:27:35 +0000</pubDate>
		<dc:creator>joestump</dc:creator>
				<category><![CDATA[lamp]]></category>
		<category><![CDATA[mysql]]></category>
		<category><![CDATA[scaling]]></category>
		<category><![CDATA[wikipedia]]></category>

		<guid isPermaLink="false">http://www.joestump.net/2006/04/wikipedia-cheap-exmplosive-scaling-with-lamp.html</guid>
		<description><![CDATA[They&#8217;re now doing 3,500 page views per second and serving that off of about 100 servers. Wikipedia is LAMP (Linux, Apache, MySQL and PHP). They use 90% of memory in InnoDB buffer pool. This is laughable, their operational guideline is &#8230; <a href="http://stu.mp/2006/04/wikipedia-cheap-exmplosive-scaling-with-lamp.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
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<li>They&#8217;re now doing 3,500 page views per second and serving that off of about 100 servers.</li>
<li>Wikipedia is LAMP (Linux, Apache, MySQL and PHP).</li>
<li>They use 90% of memory in InnoDB buffer pool.</li>
<li>This is laughable, their operational guideline is &#8220;general availability&#8221; as opposed to five nines. Their main operational goals are maximum efficiency and always be able to scale as people are always coming in. These are a direct result of them being a donation powered open source community site.</li>
<li>They use aggregated tables for reports, which doubled overall performance. They also killed some metadata included on every page because it was too expensive to generate.</li>
</ol>
<p>Overall, not very interesting. They don&#8217;t really tell how they&#8217;re scaling to that many requests with only 100 servers. I&#8217;ve found most of the short sessions missing any kind of meat as to exactly <em>how</em> these guys are scaling MySQL. The feeling I get is that most of them are doing exactly what I&#8217;ve been doing, which makes me rethink MySQL&#8217;s place in the &#8220;high performance&#8221; column of databases.</p>
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