Running Heroku Background Tasks With Only 1 Web Dyno And 0 Worker Dynos

I have a Python Flask app on Heroku that serves web pages but also allows certain tasks to be launched which I believe would be best structured as background tasks. As such, I've

Solution 1:

Modify Procfile to look like this:

web: bin/web

Now create the bin directory, and create the file bin/web to look like this:

#!/bin/bash
python app.py &
python worker.py

Make sure you give this file the executable permission:

$ chmod +x bin/web

Solution 2:

I am currently running both my web and backend scheduler in Heroku using only 1 dyno.

Idea is to provide one main python script for Heroku to start in 1 dyno. This script is used to start both the web server process(es) and the customer scheduler process(es). You can then define your jobs and add them to the custom scheduler.

APScheduler is used in my case.

This is what I did:

in Procfile:

web:pythonrun_app.py#the main startup script

in the run_app.py:

# All the required importsfrom apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
from apscheduler.triggers.cron import CronTrigger
from run_housekeeping import run_housekeeping
from apscheduler.schedulers.background import BackgroundScheduler
import os

defrun_web_script():
    # start the gunicorn server with custom configuration# You can also using app.run() if you want to use the flask built-in server -- be careful about the port
    os.system('gunicorn -c gunicorn.conf.py web.jobboard:app --debug')  

defstart_scheduler():

     # define a background schedule # Attention: you cannot use a blocking scheduler here as that will block the script from proceeding.
     scheduler = BackgroundScheduler()

     # define your job trigger
     hourse_keeping_trigger = CronTrigger(hour='12', minute='30')

     # add your job
     scheduler.add_job(func=run_housekeeping, trigger=hourse_keeping_trigger)

     # start the scheduler
     scheduler.start()


defrun():
    start_scheduler()
    run_web_script()

if __name__ == '__main__':
    run()

I am also using 4 Worker processes for serving the web from Gunicorn -- which runs perfectly fine.

In gunicorn.conf.py:

loglevel = 'info'errorlog = '-'accesslog = '-'workers = 4

You may want to checkout this project as an example: Zjobs@Github

Solution 3:

You could use a process manager such as god or monit.

With god, you can set up your configuration like so

God.watch do |w|
  w.name = "app"
  w.start = "python app.py"
  w.keepalive
end

God.watch do |w|
  w.name = "worker"
  w.start = "python worker.py"
  w.keepalive
end

Then you put this in your Procfile

god -c path/to/config.god -D

By default, it automatically restarts the process if it crashes, and you can configure it to restart the app if memory usage gets too high. Check out the documentation.

Solution 4:

To start and run a process in background:

Procfile:

run: python my_app.py

And later, execute:

heroku ps:scale run=1

Solution 5:

You should take a look at Heroku Scheduler it will allow you to run a specific task on a scheduled interval such as every 10 minutes. If you already have your worker setup you could add:

heroku run worker