Deploy Django app with Docker - django

I'm attempting to deploy a Django app via docker, first locally, and then to a cloud server. I could not find an answer to my initial question before I attempt this: if I run docker-machine create, I'm guessing this should be run from within my virtualenv, right?
This would then grab all of my specific app dependencies, and begin to build certificates to throw in the container? If not, please explain otherwise..

Yes you are correct.
I will try to help you by my experience, if you wanna deploy django apps via docker.
First you need to setup docker machine in your local machine. Please see the
instruction. By default driver that will be used is --driver
virtualbox default.
List what kind of specifics dependencies images of your apps. Ex:
you need nginx, postgres, uwsgi, or you need to fetch an image then
modified that image you can use dockerfile (its the best practice
for you).
I suggested you to use docker-compose. Really its make our project
pretty easy to manage. You have to define all images that you need
for your app in docker-compose file Please read this reference.
After you finished develop your app then you want to deploy in production server (cloud) you just need to copy all your project then running your docker-compose. All images dependencies will be automatically pulled in the cloud.
As a reference, you can see this project (this is an open source project that I developed.) On that project, I use make file to manage docker-compose command and it make easy to manage.
An example of dockerfile
An example of docker-compose.yml
An example of Makefile
Hope this will help you.

Related

How can I package my Django project with a server software so that it is ready to run on any machine?

I want to share the project to multiple clients so that they can use it on their own local networks without doing a lot of work. So somehow packaging the Django project along with a secure server software together so that it easily can be run on any machine would be nice.
Docker might be your best bet, you will need to create a docker image and on any machine that you'll want to run, have the docker client run this image. running it after installing the docker client can be a 1 line in the command line.
an example:
https://docs.docker.com/samples/django/

Deploy Django project with MSSQL DB in Local Server

I am new in Django and this will be my very FIRST Times web deploying. So I am trying to deploy my project to the local server and My project stack is Django with MSSQL so obviously I will need Window.
I was read the documentation and I think I will need WSGI and As the documentation say to deploy with gunicron or uWSGI but both are supported for Unix and not for window. So How can I start this one? This will be the first question.
I would like to know whether I am doing is correct or not.
Now I copy my project to the local server and when I try to run my project like python manage.py runserver it asks me to install Django and other but I thought this environment is working at well my computer and all of the needed application is already installed in the environment. So I still need to install all of my needed apps like Django to this environment again?
If u have any tutorial or can guide me to some useful site, I will be very very appreciated.
Anything u want to know further, Just let me know.
Thanks.

How to protect my .pyc files wont get extract out from docker

We have built the Django application dockerized till now there was no issue since we were hosting solution for a client, but now we also need to support in-house deployment which means my docker will be installed at the client machine. I see from the root access I can copy the files inside the docker. How we can save the copy issue from inside docker.
How to add such security in my docker? Please suggest.

Update Docker container after making changes to image

I am new to Docker and am experimenting with developing a Django App on Docker.
I have followed the example in this link here:
Currently I am developing my app and have made changes to various files within the web directory. For now in order to test my changes I have had to remove all my running containers, stop my docker machine, start my docker machine, attach docker machine, run docker-compose up. This is a timely process and is unproductive especially if I need to keep testing after small changes.
My question is if I make changes to the image (changes in the web directory) how can I update my container to reflect those changes or should I be doing things differently?
How do other people develop using Docker? what are your best practices?
You could use volumes to map host directory in container's web directory. Any changes in host directory will be reflected immediately without restarting container. See below post.
How to make a docker container directory accesible from host?
You can use docker-compose up --build to rebuild the image and container after making changes. It will automatically rebuild and restart any changed containers. There shouldn't be any reason to stop docker machine. If you are using a Mac or Windows PC, you can try the new beta app, which is a bit easier to use than prior versions.
Also see: https://docs.docker.com/compose/reference/
As for best practices, this probably isn't really the right forum unless you have a more specific question.

How to use vagrant to develop on django locally and then deploy to EC2/Azure?

I chose Vagrant so that other developers in my team can quickly start contributing to the project. Is there anyway we can also make it easy for the developed code to be deployed on EC2 or Azure servers? If there are any articles on the optimal setup, please point me to them. Thanks!
The first video of Getting started with Django shows how to use Vagrant for locally Django developing and how to use it for deploying it to Heroku, you may want to use the first part of the tutorial (the one related with the local development). For the second it depends how you are going to deploy it, but as long as your code will be in a Git repository, you could clone it to EC2/azure from git.