Comments (2)
Thanks for your prompt reply. I will implement your recommendation for production.
from meinheld-gunicorn-flask-docker.
I guess it's probable that you have your code mounted as a "hosts volume" inside the container.
That's a trick that you can use to develop quickly, but you shouldn't use it for production.
In production, you should first run docker build
, so that all your fresh application code becomes part of your Docker image. Then, when running in production (or testing how it would work in production), use docker run
without mounting host volumes.
from meinheld-gunicorn-flask-docker.
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
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- 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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from meinheld-gunicorn-flask-docker.