Last friday I had a presentation by a big company in the DBMS business (don't think too much...) about an all mighty HTTP collector that provides good statistic information as well as some interesting correlation features. It was useful to detect which troubles were affecting the user experience in the web application, the most. For example you could see in a step based approach the amount of people that give up on a check out process and it clusters information about those requests so you understand what makes things go wrong for those "lost clients". The tool was being negotiated with the company where I work for by a very high amount of money... While I saw that, I thought to myself...
This is very cool idea to sanitize and optimize the web application and its clients satisfaction but this approach is could be done in another way -> an improved ticketing system that collects more information about the clients (web browser/OS), a copy of the error page, a map of the website link flow populated with colors related to the number of hits or errors so you can understand where are clients abandoning your page, useful graphs, filtering variables if you already suspect of what is something or even adding triggers (i.e. regex against webpages). You may agree with me that this is top interest for any enterprise to have these kind of things out of the box ;) This is just me brainstorming, tell me what you think --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "web2py Web Framework" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/web2py?hl=en -~----------~----~----~----~------~----~------~--~---
