Comments (6)
I put this in my docker file to help me in debugging
RUN sed -i '/errorlog = "-"/a timeout = 300' /gunicorn_conf.py
RUN sed -i '/timeout = 300/a accesslog = "-"' /gunicorn_conf.py
RUN cat /gunicorn_conf.py
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I modified the gunicorn config and added a timeout of 300 in the config file on my own docker image, this stopped gunicorn killing the process, which is was doing because the ML models take some time to load into memory. So im closing this.
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Sorry for the delay, I was on a business trip.
I'm glad you solved it! Thanks for reporting back.
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Hey @pjmagee how did you set the timeout exactly?
from meinheld-gunicorn-flask-docker.
I put this in my docker file to help me in debugging
Interesting. @pjmagee so can this a way to change the default timeout without a custom gunicorn_conf.py ?
from meinheld-gunicorn-flask-docker.
Yes that should work @Shane-Neeley
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Related Issues (20)
- gunicorn kills processes in an endless loop HOT 1
- Error : could not import "app.app"
- Running application on subpath
- Enable SSH HOT 3
- Long Loading Time for Application HOT 6
- Compression HOT 2
- Statsd export HOT 2
- Unable to use blueprints HOT 1
- werkzeug request.query_string is of type `str` rather than `bytes` HOT 4
- How to pass in 'runserver command' when using app.manager() HOT 1
- critical vulnerabilities when pushing image to ECR HOT 2
- Printing worker logs HOT 2
- issue with image entrypoint.sh HOT 1
- Container not accepting requests
- consider exposing worker_connections as a config setting
- 404 on Static folder HOT 1
- Gunicorn conig .py file with 2 workers and 2 threads handles just 2 requests in parallel
- print logs not displaying in log file until reboot of container HOT 3
- M1 Mac support HOT 2
- Many security issues reported by GCP Container scanning HOT 1
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