Qutrunk VS Resque

Hi OP congrats on launching the project, I think we share similar idea, my project is https://qutrunk.com which is basically a queue with Http interface. It comes with multiple backends, so far its Rabbitmq and Mongo. I also plan to provide gRPC interface. - Source: Hacker News / almost 3 years ago

You can use a background job queue like Resque to scrape and process data in the background, and a scheduler like resque-scheduler to schedule jobs to run your scraper periodically. Source: almost 2 years ago

So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago

Background jobs are another limitation. Since only the Aha! Web service runs in a dynamic staging, the host environment's workers would process any Resque jobs that were sent to the shared Redis instance. If your branch hadn't updated any background-able methods, this would be no big deal. But if you were hoping to test changes to these methods, you would be out of luck. - Source: dev.to / about 2 years ago

The Schedules worker corresponds to the appwrite-schedule service in the docker-compose file. The Schedules worker uses a Resque Scheduler under the hood and handles the scheduling of CRON jobs across Appwrite. This includes CRON jobs from the Tasks API, Webhooks API, and the functions API. - Source: dev.to / almost 3 years ago

There are a few of popular systems. A few need a database, such as Delayed::Job, while others prefer Redis, such as Resque and Sidekiq. - Source: dev.to / about 3 years ago