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    <p>When you use MongoDB for logging, the concern is the <strong>lock contention</strong> by high write throughputs. Although MongoDB's insert is fire-and-forget style by default, calling a lot of insert() causes a heavy write lock contention. This could affect the application performance, and prevent the readers to aggregate / filter the stored logs.</p> <p>One solution might be using the <strong>log collector framework</strong> such as <a href="http://fluentd.org/" rel="nofollow">Fluentd</a>, <a href="http://logstash.net/" rel="nofollow">Logstash</a>, or <a href="http://flume.apache.org/" rel="nofollow">Flume</a>. These daemons are supposed to be launched at every application nodes, and takes the logs from app processes.</p> <p>They buffer the logs and <strong>asynchronously</strong> writes out the data to other systems like MongoDB / PostgreSQL / etc. The write is done by <strong>batches</strong>, so it's a lot more efficient than writing directly from apps. This link describes how to put the logs into Fluentd from PHP program.</p> <ul> <li><a href="http://docs.fluentd.org/articles/php" rel="nofollow">Fluentd: Data Import from PHP Applications</a></li> </ul> <p>Here's some tutorials about MongoDB + Fluentd.</p> <ul> <li><a href="http://blog.10gen.com/post/27619817959/fluentd-mongodb-the-easiest-way-to-log-your-data" rel="nofollow">Fluentd + MongoDB: The Easiest Way to Log Your Data Effectively</a> on 10gen blog</li> <li><a href="http://docs.fluentd.org/articles/apache-to-mongodb" rel="nofollow">Fluentd: Store Apache Logs into MongoDB</a></li> </ul>
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    1. POScalable way of logging page request data from a PHP application?
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    1. USKazuki Ohta
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