django-health-check
django-q
django-health-check | django-q | |
---|---|---|
2 | 8 | |
1,142 | 1,791 | |
0.5% | - | |
6.5 | 0.0 | |
7 days ago | about 2 months ago | |
Python | Python | |
MIT License | MIT License |
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django-health-check
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what are 3 django packages everyone should know about?
django-health-check - Gives you a "health check" page you can visit to make sure various parts of your system are working. You can use this page to have something like UptimeRobot alert you if there is a problem.
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Monitoring Django apps
The hard job has already been done by Kristian Oellegaard who built a health checking app for Django.
django-q
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Background jobs with Django
Other options are DjangoQ and Huey, which tend to work ok. Of the two I prefer DjangoQ. Database backed, don't require the Redis/Celery rigmarole.
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Why are Notifications so much work to do in Django?
If you want a "simple" solution for sending email, the simplest that will likely last you the longest is using DjangoQ to create a background task that looks for model records that have not been emailed. Then use Sendgrid with an email backend to send them. You can use a library that already provides a Sendgrid email backend as well.
- Simple Task Queue system that works with Django 4 / Python 3.9?
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celery and call_command
Take a look at Django-Q I was using it before moving to celery. Seems great just wanted experience with celery. Much simpler to get setup. Even use Django admin to schedule your tasks. Other option is a management command thats called using the full path of the python virtual env from a cron entry.
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New DigitalOcean Pricing
App Platform is a great concept, but we hit a dealbreaking road block when trying to migrate some Python apps with job queues. Their runtime (gVisor) doesn't support semaphore locks, which is used by Pythons multiprocessing and in turn used by most job runners (we discovered it with django-q, but I think most, if not all of them including Celery, rely on this, see link below).
The build times for Dockerfiles are also atricious… our build failed after 40 minutes by running out of memory and the multi-stage Dockerfile really wasn't anything special. We would have just used the images hosted on Github Container Registry, but App Platform only supports a limited range of Docker registries too. Note: the images build in 3 minutes on Github Actions.
As far as I can see it is also not possible to add any block storage too. While I mostly work on projects that use object storage anyway, SOME things just need persistent block storage. Which is annoying, since DigitalOcean HAS block storage… just not for App Platform.
I really wanted to use it, but man they make it hard.
https://github.com/Koed00/django-q/issues/522#issuecomment-1...
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Database backed task queue recommendations?
I use Django Q with ORM broker. Store tasks in db and retry if failed. You can also view/manage your queue in Django admin if you use ORM as broker (https://django-q.readthedocs.io/en/latest/brokers.html#django-orm).
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what are 3 django packages everyone should know about?
django-q - Light weight task queue. When celery is too much over head.
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Whats the best Task Queue/Scheduler that could run my API calls in the background?
Check out https://github.com/Koed00/django-q
What are some alternatives?
django-prometheus - Export Django monitoring metrics for Prometheus.io
django-db-queue - Simple database-backed job queue
django-rest-framework - Web APIs for Django. 🎸
django-rq - A simple app that provides django integration for RQ (Redis Queue)
celery-exporter - A Prometheus exporter for Celery metrics
django-jazzmin - Jazzy theme for Django
django-elasticsearch-dsl - This is a package that allows indexing of django models in elasticsearch with elasticsearch-dsl-py.
django-post_office - A Django app that allows you to send email asynchronously in Django. Supports HTML email, database backed templates and logging.
whitenoise - Radically simplified static file serving for Python web apps
django-guardian - Per object permissions for Django
dramatiq - A fast and reliable background task processing library for Python 3.