Description
At a high level, Faktory is a work server. It is the repository for
background jobs within your application. Jobs have a type and a set of
arguments and are placed into queues for workers to fetch and execute.
You can use this server to distribute jobs to one or hundreds of
machines. Jobs can be executed with any language by clients using
the Faktory API to fetch a job from a queue.
Faktory alternatives and similar packages
Based on the "Job Scheduler" category.
Alternatively, view Faktory alternatives based on common mentions on social networks and blogs.
-
gocron
Easy and fluent Go cron scheduling. This is a fork from https://github.com/jasonlvhit/gocron -
gronx
Lightweight, fast and dependency-free Cron expression parser (due checker, and next due date finder), task scheduler and/or daemon for Golang (tested on v1.13 and above) and standalone usage -
Tasks
Package tasks is an easy to use in-process scheduler for recurring tasks in Go -
leprechaun
You had one job, or more then one, which can be done in steps -
Dagu
A No-code workflow executor with built-in web UI [Moved to: https://github.com/yohamta/dagu] -
cheek
Crontab-like scHeduler for Effective Execution of tasKs, cheek for short. -
cdule
cdule (pronounce as Schedule) Golang based scheduler library with database support.
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README
Faktory 
At a high level, Faktory is a work server. It is the repository for background jobs within your application. Jobs have a type and a set of arguments and are placed into queues for workers to fetch and execute.
You can use this server to distribute jobs to one or hundreds of machines. Jobs can be executed with any language by clients using the Faktory API to fetch a job from a queue.
Basic Features
- Jobs are represented as JSON hashes.
- Jobs are pushed to and fetched from queues.
- Jobs are reserved with a timeout, 30 min by default.
- Jobs
FAIL'd or notACK'd within the reservation timeout are requeued. - FAIL'd jobs trigger a retry workflow with exponential backoff.
- Contains a comprehensive Web UI for management and monitoring.
Installation
See the Installation wiki page for current installation methods. Here's more info on installation with Docker and AWS ECS.
Documentation
Please see the Faktory wiki for full documentation.
Support
You can find help in the contribsys/faktory chat channel. Stop by and say hi!
Author
Mike Perham, @getajobmike, mike @ contribsys.com