Ask HN: what software do you use for analyzing apache logs?

Re:Ask HN: what software do you use for analyzing apache logs? by davidw on Tuesday April 08, 2008 @03:00AM (#157665)

I use 'visitors' ( http://www.hping.org/visitors/ ), which was written by my friend, YC.news visitor antirez.

I tried Google Analytics too, but found it kind of annoying in that it's sort of a pain to get the information I want.

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Re:Ask HN: what software do you use for analyzing apache logs? by antirez on Tuesday April 08, 2008 @06:56AM (#157745)

Thanks David, note that in most debian-based distributions all you need is apt-get install visitors.

Edit: Also if you could like to play with real-time analysis to get detailed information about how your users are interacting with your web site please feel free to write me at antirez -at- gmail ~dot~ com for a free invitation for http://lloogg.com

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Re:Ask HN: what software do you use for analyzing apache logs? by apathy on Tuesday April 08, 2008 @05:20PM (#158300)

cool, you wrote Visitors? thanks for saving me a lot of work!

I used it from 2004-2005 for clicktrails... great idea and implementation. Graphviz makes everything better (corollary: anything that needs Graphviz is interesting enough to get better)

Google Analytics and/or Visitors are about all I would think a person needs. And now that you have lloogg.com out there, it looks like clicktrails are covered in a GA-style interface. Kick ass! Great idea, again, best of luck.

I haven't run into many websites that couldn't be improved by clickpath analysis and refocusing navigation on the ways people actually use a site -- optimizing for the common case, in other words. It baffles me that any site would fail to do so. Now they really have no excuse.

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Re:Ask HN: what software do you use for analyzing apache logs? by antirez on Wednesday April 09, 2008 @08:50AM (#158756)

Nice to hear that visitors was useful :) and sure Graphviz is very cool, it was a great help in our startup (the main product we developed is a digg/reddit/...-alike system for the Italian market) in order to visualize voting patterns and try to improve the algorithm for fraudolent voting patterns detection.

LLOOGG is still pretty raw and we are developing the "filters" part of the UI, but still it seems pretty useful to check what's really happening in a web site. We have a lot of success stories of people using LLOOGG for some week and then modifying the site structure to optimize the user experience.

Thanks for the comment.

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