Production-grade scheduler, supervising jobs completion and track dependencies between job's timetables

Here, job term can correspond to any system process (for example: Python process, Hadoop map-reduce job, etc) that is started and monitored by Synergy Scheduler means.

Synergy Scheduler is in fact a state-machine, that supervises job's life-cycle: from STATE_EMBRYO thru STATE_IN_PROGRESS and STATE_FINAL_RUN to STATE_PROCESSED (or STATE_SKIPPED in case of a failure). Most likely that multiple tasks (or unit_of_work) will be issued during job's life-span. They also have multiple states and cover task life-cycle: from state STATE_REQUESTED thru STATE_IN_PROGRESS to either STATE_PROCESSED or STATE_CANCELED or STATE_INVALID.

Synergy Scheduler hides all of this complexity from the user under its hood. In most cases, user would have to set "synergy_start_timperiod", write actual job and register it in the process_context to be able to run the job and the Synergy Scheduler.

Modified BSD License. Refer to LICENSE for details.

GitHub project page

/launch.py            launcher file
/process_starter.py   utility to start worker in daemon mode  
/settings.py          configuration management  
/scripts/             folder contains shell scripts  
/system/              folder contains system-level modules  
/tests/               folder contains unit test  
/vendors/             folder contains Python libraries required for the project and installed in Python Virtual Environment  
/worker/              folder of actual project's code  
/db/                  root folder for database components - data source manager, data access objects, schema, etc
/mq/                  module provides RabbitMq Connection, Consumer, Publisher, etc functionality
/mx/                  module provides HTML front-end for the Synergy Scheduler
/scheduler/           folder contains Synergy Scheduler and related components
/supervisor/          folder contains module that starts/stops Scheduler processes
/event_stream_generator/  legacy tool. folder contains test stream generator.

Wiki Home Page

1. linux/unix
2. python 2.7+
3. kernel dev headers