working on web analytics page

Author: mattmakai

feeds/all.atom.xml

@@ -1,2 +1,2 @@
 <?xml version="1.0" encoding="utf-8"?>
-<feed xmlns="http://www.w3.org/2005/Atom"><title>Matt Makai</title><link href="http://www.fullstackpython.com/" rel="alternate"></link><link href="http://www.fullstackpython.com/feeds/all.atom.xml" rel="self"></link><id>http://www.fullstackpython.com/</id><updated>2014-02-27T16:28:38Z</updated></feed>
+<feed xmlns="http://www.w3.org/2005/Atom"><title>Matt Makai</title><link href="http://www.fullstackpython.com/" rel="alternate"></link><link href="http://www.fullstackpython.com/feeds/all.atom.xml" rel="self"></link><id>http://www.fullstackpython.com/</id><updated>2014-02-28T08:27:31Z</updated></feed>

monitoring.html

@@ -114,6 +114,9 @@ <h2>Open Source Monitoring Projects</h2>
 such as Graphite.</p>
 <p><a href="https://graphite.readthedocs.org/en/latest/overview.html">Graphite</a> stores
 time-series data and displays them in graphs through a Django web application.</p>
+<p><a href="http://github.hubspot.com/bucky/">Bucky</a> measures the performance of a
+web application from end user's browsers and sends that data back to the
+server for collection.</p>
 <p><a 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 href="http://vimeo.github.io/graph-explorer/">Graph Explorer</a> by Vimeo is a

source/content/pages/20-monitoring/2001-monitoring.markdown

@@ -53,6 +53,10 @@ such as Graphite.
 [Graphite](https://graphite.readthedocs.org/en/latest/overview.html) stores
 time-series data and displays them in graphs through a Django web application.
 
+[Bucky](http://github.hubspot.com/bucky/) measures the performance of a
+web application from end user's browsers and sends that data back to the
+server for collection.
+
 [Sensu](http://sensuapp.org/) is an open source monitoring framework
 written in Ruby but applicable to any programming language web application.
 

source/content/pages/22-web-analytics/2201-web-analytics.markdown

@@ -13,6 +13,15 @@ selling a product or service you can ultimately build a
 [user funnel](http://moz.com/blog/building-your-marketing-funnel-with-google-analytics) 
 to better understand why people buy or don't buy what you're selling.
 
+It's easy to get overwhelmed at both the number of analytics services and
+the numerous types of data points collected. Focus on just a handful of
+metrics when you're just starting to run a Python web application. As your
+application scales and you understand more about your users then add
+additional analytics services to gain further insight into their behavior
+with heatmaps and user actions funnels. This sarcastic but accurate post
+on the 
+[seven stages of startup analytics grief](http://spenczar.com/posts/2013/Sep/07/seven-stages-analytics-grief/) 
+provides context for how to begin and grow over time.
 
 
 ## Web Analytics Third Party Services
@@ -28,13 +37,21 @@ data and provides metrics and visualizations based on the data.
 for who is visiting a website and what actions they are taking while on
 the site.
 
+[Heap](https://heapanalytics.com/) is a recently founded analytics service
+with a free introductory tier to get started.
+
 [CrazyEgg](http://www.crazyegg.com/) is tool for understanding a
 user's focus while using a website based on heatmaps generated from mouse 
 movements. 
 
 ## Web Analytics Resources
+This 
 [Google Analytics for Developers](http://blog.arkency.com/2012/12/google-analytics-for-developers/)
 
 This beginner's guide to 
 [math and stats behind web analytics](http://www.seotakeaways.com/beginners-guide-maths-stats-web-analytics/)
 provides some context for understanding and reasoning about web traffic. 
+
+This post provides context for determining if a given metric is
+["vanity" or actionable](http://fizzle.co/sparkline/vanity-vs-actionable-metrics).
+

web-analytics.html

@@ -82,6 +82,15 @@ <h1>Web analytics</h1>
 selling a product or service you can ultimately build a 
 <a href="http://moz.com/blog/building-your-marketing-funnel-with-google-analytics">user funnel</a> 
 to better understand why people buy or don't buy what you're selling.</p>
+<p>It's easy to get overwhelmed at both the number of analytics services and
+the numerous types of data points collected. Focus on just a handful of
+metrics when you're just starting to run a Python web application. As your
+application scales and you understand more about your users then add
+additional analytics services to gain further insight into their behavior
+with heatmaps and user actions funnels. This sarcastic but accurate post
+on the 
+<a href="http://spenczar.com/posts/2013/Sep/07/seven-stages-analytics-grief/">seven stages of startup analytics grief</a> 
+provides context for how to begin and grow over time.</p>
 <h2>Web Analytics Third Party Services</h2>
 <p><a href="http://www.google.com/analytics/">Google Analytics</a> is a widely used
 free analytics tool for website traffic.</p>
@@ -92,14 +101,19 @@ <h2>Web Analytics Third Party Services</h2>
 <p><a href="https://www.kissmetrics.com/">KISSmetrics</a>' analytics provides context
 for who is visiting a website and what actions they are taking while on
 the site.</p>
+<p><a href="https://heapanalytics.com/">Heap</a> is a recently founded analytics service
+with a free introductory tier to get started.</p>
 <p><a href="http://www.crazyegg.com/">CrazyEgg</a> is tool for understanding a
 user's focus while using a website based on heatmaps generated from mouse 
 movements. </p>
 <h2>Web Analytics Resources</h2>
-<p><a href="http://blog.arkency.com/2012/12/google-analytics-for-developers/">Google Analytics for Developers</a></p>
+<p>This 
+<a href="http://blog.arkency.com/2012/12/google-analytics-for-developers/">Google Analytics for Developers</a></p>
 <p>This beginner's guide to 
 <a href="http://www.seotakeaways.com/beginners-guide-maths-stats-web-analytics/">math and stats behind web analytics</a>
 provides some context for understanding and reasoning about web traffic. </p>
+<p>This post provides context for determining if a given metric is
+<a href="http://fizzle.co/sparkline/vanity-vs-actionable-metrics">"vanity" or actionable</a>.</p>
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