rq-scheduler
fastapi-cloud-tasks
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rq-scheduler | fastapi-cloud-tasks | |
---|---|---|
4 | 2 | |
1,386 | 32 | |
1.1% | - | |
2.2 | 0.0 | |
about 1 month ago | 27 days ago | |
Python | Python | |
MIT License | MIT License |
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rq-scheduler
- Keep the Monolith, but Split the Workloads
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RQ-Scheduler for tasks in far future?
RQ-Scheduler is another simpler alternative (rq/rq-scheduler: A lightweight library that adds job scheduling capabilities to RQ (Redis Queue) (github.com)) that appears to be good for such purposes. It's not immediately clear if it would suffer from the same issues, but it seems not (Redis manages issues with data loss well, a separate queue is used for the scheduled tasks, etc.). Is anyone aware of any drawbacks to using RQ-Scheduler for something like this?
- Need direction on how to add asynchronous / scheduled tasks on my flask app running on aws beanstalk
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Some advice: will my setup be production ready?
Some thoughts: - Storing API keys in Redis with AOF and RDB persistence turned on is going to be way faster than storing those keys in Mongo. - Did you mean RQ (redis-queue)/django-rq? If so, it works well as long as you don't need a scheduler for cron-like tasks, which it doesn't include. You can add rq-scheduler for that though: https://github.com/rq/rq-scheduler - Make sure your redis instance has a password -- redis 6 supports ACLs as well - The problem with slow requests is that they tie up app server processes and usually also database connections. That may be fine with a small number of consumers, but if you point your web site at this API, you may run into problems. Consider that if an app server serving web site traffic is waiting for a slow request to your API, then both app servers are affected -- you're now holding resources on the web site and the API, effectively. - HTTP clients often use a default timeout value for requests, and it's a best practice to use such a timeout -- so you'll need to coach your partners consuming this API not to use timeouts for your API.
fastapi-cloud-tasks
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FastAPI Cloud Tasks
We are using https://github.com/Adori/fastapi-cloud-tasks to use Google cloud task with fastapi to trigger cloud tasks functions and schedule tasks. This library does not get updated anymore and before trying to maintain it ourselves we would like to know how other developers are managing cloud tasks en scheduled tasks in the python/fastapi projects?
- Show HN: Strongly typed background jobs with FastAPI and CloudTasks
What are some alternatives?
django-rq - A simple app that provides django integration for RQ (Redis Queue)
celery - Distributed Task Queue (development branch)
dramatiq - A fast and reliable background task processing library for Python 3.
Flask-RQ2 - A Flask extension for RQ.
threaded-cron-task-engine - An multi-threaded cron/supervisord replacement which offers a bit more and is dead simple
django-rq - A simple app that provides django integration for RQ (Redis Queue) [Moved to: https://github.com/rq/django-rq]
nvidia-gpu-scheduler - NVIDIA GPU compute task scheduling utility
supervisor - Supervisor process control system for Unix (supervisord)
deck-chores - A job scheduler for Docker containers, configured via labels.
NiceHash-Mining-Scheduler - Schedule the start and stop of your NiceHash miners using this script.
gesture - Simple, robust background processing for Python