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<!DOCTYPE html>
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<h1>Caching</h1>
<p>Caching can reduce load on servers by storing the results of common
operations and serving the precomputed answers to clients.</p>
<p>For example, instead of retrieving data from database tables that rarely
change, you can store the values in-memory. Retrieving values from an
in-memory location is far faster than retrieving them from a database (which
stores them on a persistent disk like a hard drive). When the cached values
change the system can invalidate the cache and re-retrieve the updated values
for future requests.</p>
<p>A cache can be created for multiple layers of the stack.</p>
<div class="section" id="caching-resources">
<h2>Caching Resources</h2>
<p><a class="reference external" href="http://memcached.org/">memcached</a> is a common in-memory caching system.</p>
<p><a class="reference external" href="http://redis.io/">Redis</a> is a key-value in-memory data store that can
easily be configured for caching with libraries such as
<a class="reference external" href="https://github.com/sebleier/django-redis-cache">django-redis-cache</a>.</p>
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<a href="http://www.mattmakai.com/" class="underline">Matt Makai</a> 2014
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