GitHub - resque resque: Resque is a Redis-backed Ruby library . . . Resque (pronounced like "rescue") is a Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later For the backstory, philosophy, and history of Resque's beginnings, please see the blog post (2009) Background jobs can be any Ruby class or module that responds to perform Your existing
Welcome [resque. github. io] Resque is a Redis-backed ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later Unlike Sidekiq (a well-designed well-maintained alternative!) it forks a new process for each job, which makes it resilient to memory leaks and eliminates thread-safety concerns
Resque - RubyDoc. info Resque allows you to create jobs and place them on a queue, then, later, pull those jobs off the queue and process them Resque jobs are Ruby classes (or modules) which respond to the perform method Here's an example:
resque | RubyGems. org | your community gem host Resque is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later Background jobs can be any Ruby class or module that responds to perform
Resque | Redis-backed open source scheduler Resque is a Redis-backed simple and open source queuing system for background processing Background processing is becoming more important as web applications integrate with 3rd Party APIs, run long running requests, perform external data Processing and emails delivery to keep your response times down
Introducing Resque - The GitHub Blog Resque is our Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later Background jobs can be any Ruby class or module that responds to perform Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work Or, you can do both
How Queuing with Resque works | Girders: the blog of Allen Fair Resque is a fast, lightweight, and powerful message queuing system used to run Ruby jobs asynchronously (or in the background) from your on-line software for scalability and response I needed to integrate software written in different languages and environments for processing, and this is my understanding of the implementation