You can always place some more performance testing code inside your views: import time t = time.time() search_time=0.00 # #place some code which hits the database here # search_time+=time.time()-t search_time="%.3f"%(search_time)
This does not test the memory footprint of your application though. Put all your db calls into a unit test sort of framework is what i did when developing a search engine for the site im developing. On Thu, Dec 10, 2009 at 3:53 PM, Andy McKay <a...@clearwind.ca> wrote: > On 09-12-09 8:43 PM, Kegan Gan wrote: >> Thanks for reply, Andy. >> >> I am aware of django-debug-toolbar. I am looking something to run with >> production. >> >> How do people monitor Django application performance in production >> environment today? > > Hmm I guess if I knew what you were looking for I could help more. Like > I say I've run a sql query recording tool, its v. simple. But most of > the time I rely on system tools like munin or monit. > -- > Andy McKay, @clearwind > Training: http://clearwind.ca/training/ > Whistler conference: http://clearwind.ca/djangoski/ > > -- > > You received this message because you are subscribed to the Google Groups > "Django users" group. > To post to this group, send email to django-us...@googlegroups.com. > To unsubscribe from this group, send email to > django-users+unsubscr...@googlegroups.com. > For more options, visit this group at > http://groups.google.com/group/django-users?hl=en. > > > -- You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-us...@googlegroups.com. To unsubscribe from this group, send email to django-users+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/django-users?hl=en.