django-debug-toolbar VS django-silk

The reason behind this splitting is that we can safely use packages and related settings only where we need. For example, this starter kit has the package django-debug-toolbar. This is only intended for your development environment and not for your production. This can be very risky if used in production because if your Django project encounters errors, all the debug info will be shown to the user which is a severe security risk. Similarly, for tracking errors in production, we're using Sentry which is not needed in our local environment since we already have django-debug-toolbar. For keeping these settings file separate so that they don't conflict with each other, the settings file is split for serving different environments.

django-debug-toolbar: https://github.com/jazzband/django-debug-toolbar

https://github.com/jazzband/django-debug-toolbar/issues?q=is%3Aopen+is%3Aissue+label%3ABug

https://github.com/jazzband/django-debug-toolbar Allows you to check which sql queries are being run on your app. See if they are optimized first.

Perhaps try the django-debug-toolbar. It might be able to tell you what is causing the slow load time.

I would start with https://github.com/jazzband/django-debug-toolbar and figure out what causes the slowness.

-> The debugging above from django-debug-toolbar

Documentation, including installation and configuration instructions, is available at https://django-debug-toolbar.readthedocs.io/.

But that's still not backend-specific SQL?

There should be an interface method for this. Why does psycopg call it mogrify?

https://django-debug-toolbar.readthedocs.io/en/latest/panels... :

> debug_toolbar.panels.sql.SQLPanel: SQL queries including time to execute and links to EXPLAIN each query

But debug toolbars mostly don't work with APIs.

https://github.com/django-query-profiler/django-query-profil... :

> Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them

https://github.com/jazzband/django-silk :

> Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before presenting them in a user interface for further inspection

you're using DRF, which DDT doesn't work well with. DDT is more for template rendered pages, not API responses. Have you brought in Django silk for monitoring this?

https://github.com/jazzband/django-silk/issues?q=is%3Aopen+is%3Aissue+label%3Abug

Are you using Django-silk? Googling for the error shows https://github.com/jazzband/django-silk/issues/374

Those docs are wrong. They still reference syncdb. Use the README at https://github.com/jazzband/django-silk.

Perhaps https://github.com/jazzband/django-silk?

If you're using Django as an API, without templates, django debug toolbar is useless because it requires templates. It won't work with DRF endpoints which means you miss out on profiling and SQL tracing. That's where django-silk shines.

You can also install django-silk to profile your app, and play around with different implementations.

https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216