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	<title>Comments on: The Hitchhikers Guide to PHP Load Balancing</title>
	<atom:link href="http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/feed/" rel="self" type="application/rss+xml" />
	<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/</link>
	<description>Musings of a PHP developer</description>
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		<title>By: Adam Charnock</title>
		<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/#comment-409</link>
		<dc:creator>Adam Charnock</dc:creator>
		<pubDate>Tue, 15 Dec 2009 17:41:08 +0000</pubDate>
		<guid isPermaLink="false">http://porteightyeight.wordpress.com/?p=80#comment-409</guid>
		<description>HI Aneesh,

Thanks for the comment. I don&#039;t have any hard answers for you (I would not regard myself as a MySQL expert), but you may find the &lt;a href=&quot;http://blog.wavetastic.com/2009/10/02/why-google-wave-sucks-and-why-wave-rocks/&quot; rel=&quot;nofollow&quot;&gt;MySQL Performance Blog&lt;/a&gt; interesting if you have not seen it already.

I hope that is of some help!

Adam</description>
		<content:encoded><![CDATA[<p>HI Aneesh,</p>
<p>Thanks for the comment. I don&#8217;t have any hard answers for you (I would not regard myself as a MySQL expert), but you may find the <a href="http://blog.wavetastic.com/2009/10/02/why-google-wave-sucks-and-why-wave-rocks/" rel="nofollow">MySQL Performance Blog</a> interesting if you have not seen it already.</p>
<p>I hope that is of some help!</p>
<p>Adam</p>
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	<item>
		<title>By: Aneesh</title>
		<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/#comment-408</link>
		<dc:creator>Aneesh</dc:creator>
		<pubDate>Fri, 11 Dec 2009 09:42:38 +0000</pubDate>
		<guid isPermaLink="false">http://porteightyeight.wordpress.com/?p=80#comment-408</guid>
		<description>Imagine the Database is very large. And a query needs to pull large amount of data from the database. This will definitely slows down the Database server. Do you have any idea to Cluster the database server also ?  and how can be the database will be update among all individual servers ?</description>
		<content:encoded><![CDATA[<p>Imagine the Database is very large. And a query needs to pull large amount of data from the database. This will definitely slows down the Database server. Do you have any idea to Cluster the database server also ?  and how can be the database will be update among all individual servers ?</p>
]]></content:encoded>
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	<item>
		<title>By: bernard</title>
		<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/#comment-406</link>
		<dc:creator>bernard</dc:creator>
		<pubDate>Tue, 24 Nov 2009 07:28:32 +0000</pubDate>
		<guid isPermaLink="false">http://porteightyeight.wordpress.com/?p=80#comment-406</guid>
		<description>Nice post Adam</description>
		<content:encoded><![CDATA[<p>Nice post Adam</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Adam Charnock</title>
		<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/#comment-347</link>
		<dc:creator>Adam Charnock</dc:creator>
		<pubDate>Sun, 13 Sep 2009 23:10:08 +0000</pubDate>
		<guid isPermaLink="false">http://porteightyeight.wordpress.com/?p=80#comment-347</guid>
		<description>Hey Vipin, thank you! I hope to have some new content up soon :)</description>
		<content:encoded><![CDATA[<p>Hey Vipin, thank you! I hope to have some new content up soon <img src='http://s.wordpress.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
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	<item>
		<title>By: vipin sahu</title>
		<link>http://porteightyeight.com/2008/03/24/the-hitchhikers-guide-to-php-load-balancing/#comment-346</link>
		<dc:creator>vipin sahu</dc:creator>
		<pubDate>Sun, 13 Sep 2009 15:55:16 +0000</pubDate>
		<guid isPermaLink="false">http://porteightyeight.wordpress.com/?p=80#comment-346</guid>
		<description>awesome guide for a newbie thanks a ton keep posting ...</description>
		<content:encoded><![CDATA[<p>awesome guide for a newbie thanks a ton keep posting &#8230;</p>
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