Django profiling dashboard for debugging CPU, memory and other resources usage in live servers
django-profiling-dashboard provides a dashboard with various profiling tools suitable for use in live servers.
- yappi for thread-aware live server profiling that can be enabled and disabled at run time;
- Pympler for memory debugging;
- psutil for system resource usage investigation;
Dashboard remplates are based on Bootstrap toolkit.
django-profiling-dashboard requires django >= 1.3 and python >= 2.6.
Make sure the requirements are installed:
pip install yappi pympler psutil pip install git+https://github.com/daevaorn/django-query-exchange.git#egg=django-query-exchange
and install django-profiling-dashboard using pip:
pip install django-profiling-dashboard
Add 'profiling_dashboard' and 'query_exchange' to INSTALLED_APPS:
INSTALLED_APPS = ( # ... 'query_exchange', 'profiling_dashboard', # ... )
include ‘profiling_dashboard.urls’ in your urls.py:
urlpatterns = patterns('', # ... url(r'^profiling-dashboard/', include('profiling_dashboard.urls')), # ... )
Notes on CPU profiling in multi-process environment
If there are several server processes then the profiler have to be started and stopped for each process, and the profiling stats will be different for different processes.
In some deployment schemas (e.g. apache proxied by nginx) there is no way to make sure subsequent requests will be handled by the same server process so take this in account while using django-profiling-dashboard.