Project
Reverse Dependencies for delayed_job
The projects listed here declare delayed_job as a runtime or development dependency
0.0
Gem that adds the ability to prevent duplicate delayed jobs from being created.
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Activity
0.0
In conjunction with capistrano-maintenance, stop delayed jobs during maintenance
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Activity
0.0
A simple delayed_job master process to control multiple workers
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Activity
0.0
Save mementos of your delayed jobs and also set queue quotas.
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Activity
0.0
MongoMapper backend for delayed_job
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Activity
0.0
NoBrainer backend for Delayed::Job, based on delayed_job_active_record
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0.0
A null delayed job backend
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0.0
Improve Delayed Job to prevent a task already enqueued to be enqueue a second time.
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Activity
0.0
Reload classes on each job run. This plugin assumes that you are running DelayedJob in a Rails environment.
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Activity
0.0
Extends delayed_job_mongoid to support recurring jobs, including timezone support
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0.0
A plugin for delayed_job to schedule simple tasks. It does not need a seperate worker and reduce the memory usage.
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0.0
Sequel backend for delayed_job
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Activity
0.0
delayed_job_status get an API like status from delayed_job
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Activity
0.0
A simple wrapper for the KissMetrics API using Delayed Job
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Activity
0.0
delayed_job exception notification with raven
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Activity
0.0
A Delayed::Job plugin to report lifecycle events to log files or monitoring services, etc.
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Activity
0.0
Allows to start DJ in the same process using Thread.new { ... }
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0.0
Delayed Job integration for the touch option of ActiveRecord belongs_to association
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0.0
dj_remixes was developed by: markbates
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Activity
0.0
Gem is designed to "Split or Break" Time Taking Jobs(Delayed Jobs, Crons, Bulk Operations, etc.) into smaller size Mutually Exclusive Delayed Jobs. These Sub-Jobs can be picked by "Multiple Workers" in "Single" or "Multiple Servers". After splitting and enqueuing, the process will wait for the sub-jobs to complete and also processes sub-jobs instead of blocking. "Parallelism" can be achieved across multiple servers through Delayed Jobs which can directly impact performance. "Performance" can improve up to "n+1" times, where n = number of workers picking the jobs.
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