Profile Django-based applications running in production with minimal performance overhead.

Profiling web applications on a development environment often produces misleading results due to different patterns in the data, different patterns in user behavior and differences in infrastructure.

All existing DB access profiling solutions for Django seem to be focusing on a single request. However, in the real world certain queries might be negligible in a single request while still putting a considerable strain the database across all requests.

django-live-profiler aims to solve these issues by collecting database usage data from a live application.

1. Run pip install django-live-profiler
2. Add 'profiler' app to INSTALLED_APPS
3. Add 'profiler.middleware.ProfilerMiddleware' to MIDDLEWARE_CLASSES
4. Optionally add 'profiler.middleware.StatProfMiddleware' to MIDDLEWARE_CLASSES to enable Python code statistical profiling (using statprof). WARNING: this is an experimental feature, beware of possible incorrect output.
5. Add url(r'^profiler/', include('profiler.urls')) to your urlconf

In order to start gathering data you need to start the aggregation server:

$ aggregated --host 127.0.0.1 --port 5556

Visit http://yoursite.com/profiler/ for results.