I have 5 tasks in my project that need to be run periodically. Some of these tasks are run on a daily basis, some on a weekly basis.

I try to containerize each task in a Docker image. Here is one illustrative example:

FROM tensorflow/tensorflow:2.7.0
RUN mkdir /home/MyProject
COPY . /home/MyProject
WORKDIR /home/MyProject/M1/src/
RUN pip install pandas numpy
CMD ./task1.sh

There are a list of Python scripts that need to be run in the task1.sh file defined above. This is not a server application or anything similar, it will run the task1.sh, which will run all the python scripts defined in it one by one, and the entire process will be finished within minutes. And the same process is supposed to be repeated 24 hours later.

How can I schedule such Docker containers in GCP? Are there different ways of doing it? Which one is comparably simpler if there are multiple solutions?

I am not a dev-ops expert by any means. All examples in documentation I find are explained for server applications which are running all the time, not like my example where the image needs to be run just once periodically. This topic is quite daunting for a beginner in this domain like myself.

1 Answer 1


Add any tiny http-server wrapper to your script and deploy your docker image as a Cloud Run service and use Cloud Scheduler that will invoke it by cron.


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