python3.7
(Dockerfile)python3.6
(Dockerfile)python3.6-alpine3.7
(Dockerfile)python3.5
(Dockerfile)python2.7
(Dockerfile)python2.7-alpine3.7
(Dockerfile)latest
(Dockerfile)
python3.7-alpine3.7
(Dockerfile) Temporarily not supported as uWSGI has not been realeased with Python 3.7 support for Alpine 3.7 nor for Alpine 3.8
Docker image with uWSGI and Nginx for web applications in Python 3.7, Python 3.6, Python 3.5 and Python 2.7 (as Flask) in a single container. Optionally with Alpine Linux.
Soon the tag latest
will point to python3.6
instead of python2.7
.
If you are using in your Dockerfile
:
FROM tiangolo/uwsgi-nginx:latest
you should update it to:
FROM tiangolo/uwsgi-nginx:python2.7
This Docker image allows you to create Python web applications that run with uWSGI and Nginx in a single container.
uWSGI with Nginx is one of the best ways to deploy a Python application, so you should have a good performance (check the benchmarks) with this image.
There is also an Alpine version. If you want it, use one of the Alpine tags from above.
This image was created to be the base image for tiangolo/uwsgi-nginx-flask but could be used as the base image to run any Python web application.
If you are creating a new Flask web application you should use tiangolo/uwsgi-nginx-flask instead.
GitHub repo: https://github.com/tiangolo/uwsgi-nginx-docker
Docker Hub image: https://hub.docker.com/r/tiangolo/uwsgi-nginx/
- You shouldn't have to clone the GitHub repo. You should use it as a base image for other images, using this in your
Dockerfile
:
FROM tiangolo/uwsgi-nginx:python3.7
# Your Dockerfile code...
-
But, if you need Python 2.7 that line would have to be
FROM tiangolo/uwsgi-nginx:python2.7
. -
By default it will try to find a uWSGI config file in
/app/uwsgi.ini
. -
That
uwsgi.ini
file will make it try to run a Python file in/app/main.py
.
If you are building a Flask web application you should use instead tiangolo/uwsgi-nginx-flask.
If you need to use a directory for your app different than /app
, you can override the uWSGI config file path with an environment variable UWSGI_INI
, and put your custom uwsgi.ini
file there.
For example, if you needed to have your application directory in /application
instead of /app
, your Dockerfile
would look like:
FROM tiangolo/uwsgi-nginx:python3.7
ENV UWSGI_INI /application/uwsgi.ini
COPY ./application /application
WORKDIR /appapplication
And your uwsgi.ini
file in ./application/uwsgi.ini
would contain:
[uwsgi]
wsgi-file=/application/main.py
Note: it's important to include the WORKDIR
option, otherwise uWSGI will start the application in /app
.
By default, the image starts with 2 uWSGI processes running. When the server is experiencing a high load, it creates up to 16 uWSGI processes to handle it on demand.
If you need to configure these numbers you can use environment variables.
The starting number of uWSGI processes is controlled by the variable UWSGI_CHEAPER
, by default set to 2
.
The maximum number of uWSGI processes is controlled by the variable UWSGI_PROCESSES
, by default set to 16
.
Have in mind that UWSGI_CHEAPER
must be lower than UWSGI_PROCESSES
.
So, if, for example, you need to start with 4 processes and grow to a maximum of 64, your Dockerfile
could look like:
FROM tiangolo/uwsgi-nginx:python3.7
ENV UWSGI_CHEAPER 4
ENV UWSGI_PROCESSES 64
COPY ./app /app
In this image, Nginx is configured to allow unlimited upload file sizes. This is done because by default a simple Python server would allow that, so that's the simplest behavior a developer would expect.
If you need to restrict the maximum upload size in Nginx, you can add an environment variable NGINX_MAX_UPLOAD
and assign a value corresponding to the standard Nginx config client_max_body_size
.
For example, if you wanted to set the maximum upload file size to 1 MB (the default in a normal Nginx installation), you would need to set the NGINX_MAX_UPLOAD
environment variable to the value 1m
. Then the image would take care of adding the corresponding configuration file (this is done by the entrypoint.sh
).
So, your Dockerfile
would look something like:
FROM tiangolo/uwsgi-nginx:python3.7
ENV NGINX_MAX_UPLOAD 1m
COPY ./app /app
By default, the container made from this image will listen on port 80.
To change this behavior, set the LISTEN_PORT
environment variable.
You might also need to create the respective EXPOSE
Docker instruction.
You can do that in your Dockerfile
, it would look something like:
FROM tiangolo/uwsgi-nginx:python3.7
ENV LISTEN_PORT 8080
EXPOSE 8080
COPY ./app /app
By default, Nginx will start one "worker process".
If you want to set a different number of Nginx worker processes you can use the environment variable NGINX_WORKER_PROCESSES
.
You can use a specific single number, e.g.:
ENV NGINX_WORKER_PROCESSES 2
or you can set it to the keyword auto
and it will try to autodetect the number of CPUs available and use that for the number of workers.
For example, using auto
, your Dockerfile could look like:
FROM tiangolo/uwsgi-nginx:python3.7
ENV NGINX_WORKER_PROCESSES auto
COPY ./app /app
By default, Nginx will start with a maximum limit of 1024 connections per worker.
If you want to set a different number you can use the environment variable NGINX_WORKER_CONNECTIONS
, e.g:
ENV NGINX_WORKER_CONNECTIONS 2048
It cannot exceed the current limit on the maximum number of open files. See how to configure it in the next section.
The number connections per Nginx worker cannot exceed the limit on the maximum number of open files.
You can change the limit of open files with the environment variable NGINX_WORKER_OPEN_FILES
, e.g.:
ENV NGINX_WORKER_OPEN_FILES 2048
-
2018-09-22: New Python 3.7 versions, standard and Alpine based. Thanks to desaintmartin in this PR.
-
2018-06-22: You can now use
NGINX_WORKER_CONNECTIONS
to set the maximum number of Nginx worker connections andNGINX_WORKER_OPEN_FILES
to set the maximum number of open files. Thanks to ronlut in this PR. -
2018-06-22: Make uWSGI require an app to run, instead of going in "full dynamic mode" while there was an error. Supervisord doesn't terminate itself but tries to restart uWSGI and shows the errors. Uses
need-app
as suggested by luckydonald in this comment. -
2018-06-22: Correctly handled graceful shutdown of uWSGI and Nginx. Thanks to desaintmartin in this PR.
-
2018-02-04: It's now possible to set the number of Nginx worker processes with the environment variable
NGINX_WORKER_PROCESSES
. Thanks to naktinis in this PR. -
2018-01-14: There are now two Alpine based versions,
python2.7-alpine3.7
andpython3.6-alpine3.7
. -
2017-12-08: Now you can configure which port the container should listen on, using the environment variable
LISTEN_PORT
thanks to tmshn in this PR. -
2017-08-09: You can set a custom maximum upload file size using an environment variable
NGINX_MAX_UPLOAD
, by default it has a value of0
, that allows unlimited upload file sizes. This differs from Nginx's default value of 1 MB. It's configured this way because that's the simplest experience a developer that is not expert in Nginx would expect. -
2017-08-09: Now you can override where to look for the
uwsgi.ini
file, and with that, change the default directory from/app
to something else, using the envirnoment variableUWSGI_INI
. -
2017-08-08: There's a new
latest
tag image, just to show a warning for those still usinglatest
for Python 2.7 web applications. As of now, everyone should be using Python 3. -
2017-08-08: Supervisord now terminates uWSGI on
SIGTERM
, so if you rundocker stop
or something similar, it will actually stop everything, instead of waiting for Docker's timeout to kill the container. -
2017-07-31: There's now an image tag for Python 3.6, based on the official image for Python 3.6 thanks to jrd in this PR.
-
2016-10-01: Now you can override default
uwsgi.ini
parameters from the file in/app/uwsgi.ini
. -
2016-08-16: There's now an image tag for Python 3.5, based on the official image for Python 3.5. So now you can use this image for your projects in Python 2.7 and Python 3.5.
-
2016-08-16: Use dynamic a number of worker processes for uWSGI, from 2 to 16 depending on load. This should work for most cases. This helps especially when there are some responses that are slow and take some time to be generated, this change allows all the other responses to keep fast (in a new process) without having to wait for the first (slow) one to finish.
-
Also, it now uses a base
uwsgi.ini
file under/etc/uwsgi/
with most of the general configurations, so, theuwsgi.ini
inside/app
(the one you could need to modify) is now a lot simpler. -
2016-04-05: Nginx and uWSGI logs are now redirected to stdout, allowing to use
docker logs
.
One of the best ways to deploy a Python web application is with uWSGI and Nginx, as seen in the benchmarks.
Roughly:
-
Nginx is a web server, it takes care of the HTTP connections and also can serve static files directly and more efficiently.
-
uWSGI is an application server, that's what runs your Python code and it talks with Nginx.
-
Your Python code has the actual web application, and is run by uWSGI.
This image takes advantage of already slim and optimized existing Docker images (based on Debian as recommended by Docker) and implements Docker best practices.
It uses the official Python Docker image, installs uWSGI and on top of that, with the least amount of modifications, adds the official Nginx image (as of 2016-02-14).
And it controls all these processes with Supervisord.
There's the rule of thumb that you should have "one process per container".
That helps, for example, isolating an app and its database in different containers.
But if you want to have a "micro-services" approach you may want to have more than one process in one container if they are all related to the same "service", and you may want to include your Flask code, uWSGI and Nginx in the same container (and maybe run another container with your database).
That's the approach taken in this image.
This image has a default sample "Hello World" app in the container's /app
directory using the example in the uWSGI documentation.
You probably want to override it or delete it in your project.
It is there in case you run this image by itself and not as a base image for your own Dockerfile
, so that you get a sample app without errors.
This project is licensed under the terms of the Apache license.