Faye
Socket.io
Firebase
NATS
Pusher
deepstream.io
RabbitMQ
Apache Kafka
Resque
Sidekiq
Hangfire
delayed_job
Enqueue It
RabbitMQ
Apache Kafka
Amazon SQS
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Based on our record, Resque should be more popular than Faye. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Faye WebSocket is a versatile WebSocket implementation derived from the Faye project. Faye is a messaging system that uses the Publish/Subscribe model and the Bayeux protocol. It provides message servers for Node, Ruby, and all major web browsers. - Source: dev.to / 8 months ago
I can find socket.io, faye, deepstream.io , autobahn-js and nchan, centrifugo. Can you also explain why you chose it and if you had troubles with some other solution? Source: about 3 years ago
Rollbar is a great error-tracking service. It alerts us on exceptions and errors, provides analysis tools and dashboard, so we can see, reproduce, and fix bugs quickly when something went wrong. This service has a possibility to log not only uncaught exceptions but any messages. By default, the messages are reported synchronously, but you can enable asynchronous reporting using Sidekiq, girl_friday, or Resque.... - Source: dev.to / about 18 hours 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 / about 3 years ago
Socket.io - Realtime application framework (Node.JS server)
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Hangfire - An easy way to perform background processing in .NET and .NET Core applications.
NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job