Profiling & Optimizing Bottlenecks In Django

In the previous article, we have learnt where to start with performance optimization in django application and find out which APIs to optimize first. In this article, we will learn how to optimize those selected APIs from the application.

Profling APIs With django-silk

django-silk provides silk_profile function which can be used to profile selected view or a snippet of code. Let's take a slow view to profile and see the results.

from silk.profiling.profiler import silk_profile

def slow_api(request):
    return JsonResponse({'data': 'slow_response'})

We need to add relevant silk settings to django settings so that required profile data files are generated and stored in specified locations.


Once the above view is loaded, we can see the profile information in silk profiling page.

In profile page, silk shows a profile graph and highlights the path where more time is taken.

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