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then allows developers to search the collected data and visualize what's
happening inside their web application using the Kibana user interface.</p>
</li>
<li>
<p><ahref="http://munin-monitoring.org/">Munin</a> is a client plugin-based monitoring
system that sends monitoring traffic to the Munin node where the data can
be analyzed and visualized. Note this project is written in Perl so Perl 5
must be installed on the node collecting the data.</p>
</li>
</ul>
<h2>Hosted monitoring services</h2>
<ul>
<li>
<p><ahref="http://newrelic.com/">New Relic</a>. Application and database monitoring as
well as plug ins for capturing and analyzing additional data about tools in
your stack.</p>
</li>
<li>
<p><ahref="http://copperegg.com/">CopperEgg</a> is lower-level monitoring on server and
infrastructure. It's popular with DevOps shops that are making changes to
their production environments and want immediate feedback on the results
of those modifications.</p>
</li>
<li>
<p><ahref="http://status.io/">Status.io</a> focuses on uptime and response metrics
transparency for web applications.</p>
</li>
<li>
<p><ahref="https://www.statuspage.io/">StatusPage.io</a> (yes, there's both a Status and
StatusPage.io) provides easy set up status pages for monitoring application
up time.</p>
</li>
<li>
<p><ahref="http://www.pagerduty.com/">PagerDuty</a> alerts a designated person or group
if there are stability, performance, or uptime issues with an application.</p>
</li>
<li>
<p><ahref="https://appenlight.com/">App Enlight</a> provides performance, exception and
error monitoring and is currently specific to Python web applications.</p>
</li>
</ul>
<h2>Monitoring resources</h2>
<ul>
<li>
<p><ahref="http://www.paperplanes.de/2011/1/5/the_virtues_of_monitoring.html">The Virtues of Monitoring</a></p>
</li>
<li>
<p><ahref="http://blog.docker.io/2013/07/effortless-monitoring-with-collectd-graphite-and-docker/">Effortless Monitoring with collectd, Graphite, and Docker</a></p>
</li>
<li>
<p><ahref="http://matt.aimonetti.net/posts/2013/06/26/practical-guide-to-graphite-monitoring/">Practical Guide to StatsD/Graphite Monitoring</a>
is a detailed guide with code examples for monitoring infrastructure.</p>
</li>
<li>
<p>Bit.ly describes the
"<ahref="http://word.bitly.com/post/74839060954/ten-things-to-monitor">10 Things They Forgot to Monitor</a>"
beyond the standard metrics such as disk & memory usage.</p>
</li>
<li>
<p><ahref="http://aarvik.dk/four-linux-server-monitoring-and-management-tools/">Four Linux server monitoring tools</a></p>
</li>
<li>
<p><ahref="https://blog.serverdensity.com/how-to-design-useful-monitoring-graphs-and-visualizations/">How to design useful monitoring and graphing visualizations</a></p>
</li>
<li>
<p><ahref="https://speakerdeck.com/auxesis/5-years-of-metrics-and-monitoring">5 years of metrics and monitoring</a>
is a great presentation highlighting that visualization so humans can
understand measurements is a hard problem. Line graphs are often not
the best solution and they are overused.</p>
</li>
<li>
<p>The Collector Highlight Series has an article on <ahref="http://blog.librato.com/posts/statsd">StatsD</a>
that explains how to install it and how it works.</p>
</li>
<li>
<p>This <ahref="http://kartar.net/2014/11/monitoring-survey---tools/">survey on monitoring tools</a>
has some nice data and graphs on what developers and operations folks use
in their environments.</p>
</li>
</ul>
<h2>Monitoring learning checklist</h2>
<p><iclass="fa fa-check-square-o"></i>
Review the software-as-a-service and open source monitoring tools below. Third
party services tend to be easier to set up and host the data for you. Open
source projects give you more control but you'll need to have additional
servers ready for the monitoring.</p>
<p><iclass="fa fa-check-square-o"></i>
My recommendation is to install <ahref="http://newrelic.com/">New Relic</a>'s free
option with the trial period to see how it works with your app. It'll give you
a good idea of the capabilities for application-level monitoring tools.</p>
<p><iclass="fa fa-check-square-o"></i>
As your app scales take a look at setting up one of the the open source
monitoring projects such as StatsD with Graphite. The combination of those
two projects will give you fine-grained control over the system metrics
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