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<meta name="description" content="Full Stack Python shows how an entire Python web application is built and deployed. Each section of the guide explains a different key concept, from the server through the Python WSGI web framework to the front end JavaScript.">
time-series data and displays them in graphs through a Django web application.</p>
<p><a class="reference external" href="http://sensuapp.org/">Sensu</a> is an open source monitoring framework
written in Ruby but applicable to any programming language web application.</p>
<p><a class="reference external" href="http://vimeo.github.io/graph-explorer/">Graph Explorer</a> by Vimeo is a
Graphite-based dashboard with added features and a slick design.</p>
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<div class="section" id="monitoring-resources">
<h2>Monitoring Resources</h2>
<p><a class="reference external" href="http://www.paperplanes.de/2011/1/5/the_virtues_of_monitoring.html">The Virtues of Monitoring</a></p>
<p><a class="reference external" href="http://blog.docker.io/2013/07/effortless-monitoring-with-collectd-graphite-and-docker/">Effortless Monitoring with collectd, Graphite, and Docker</a></p>
<p>Bit.ly describes the "<a class="reference external" href="http://word.bitly.com/post/74839060954/ten-things-to-monitor">10 Things We Forgot to Monitor</a>"
beyond the standard metrics such as disk & memory usage.</p>
<p><a class="reference external" href="http://aarvik.dk/four-linux-server-monitoring-and-management-tools/">Four Linux server monitoring tools</a></p>
<p><a class="reference external" href="https://blog.serverdensity.com/how-to-design-useful-monitoring-graphs-and-visualizations/">How to design useful monitoring and graphing visualizations</a></p>