## Description
Following up on @webyneter attempt in #1205, which is now getting outdated, I've tried to make Gulp task runner work with Docker. There is no documentation yet, but this seems to work locally with the custom bootstrap compilation...
- [x] Add a node image for local developement
- [x] Proxy the django image rather than localhost in Browser sync, pass header to keep hostname
- [x] Don't call the runserver command from Gulp, let docker-compose handle
- [x] Update package.json & gulpfile.js templates to reduce the number of unwanted empty lines
- [x] Use [multi-stage build](https://docs.docker.com/develop/develop-images/multistage-build/) in production to make sure the static assets are produced
- [x] Update documentation
- [x] Verify that the previous issue with static assets missing from production isn't there
## Rationale
Currently, the static build isn't working nicely with Docker, extra manual setup is required.
Fixes#1762
## Description
Replace Caddy with Traefik
## Rationale
There is some trouble with the Caddy license (https://github.com/pydanny/cookiecutter-django/pull/1282#issuecomment-329617536)
@drdaeman suggested using Traefik (https://github.com/pydanny/cookiecutter-django/pull/1282#issuecomment-353655273) which supports ACME and also plays very nice with Docker.
## Comments
I am currently using the proposed setup on a live site and it working great so far. If this PR is of interest to the maintainers, then I could commit more changes and take care of the documentation. Of course, any suggestions by the more experienced people around here, are welcome!
[//]: # (Thank you for helping us out: your efforts mean great deal to the project and the community as a whole!)
[//]: # (Before you proceed:)
[//]: # (1. Make sure to add yourself to `CONTRIBUTORS.rst` through this PR provided you're contributing here for the first time)
[//]: # (2. Don't forget to update the `docs/` presuming others would benefit from a concise description of whatever that you're proposing)
## Description
[//]: # (What's it you're proposing?)
Added a note around CELERY_TASK_ALWAYS_EAGER = True in docker config for local development. This causes tasks to be executed on the 'main' thread rather than by the workers. I understand why that might be desirable, but thought it worth calling out incase (like me) it makes people think something is broken.
## Rationale
[//]: # (Why does the project need that?)
Ease of use/troubleshooting
## Use case(s) / visualization(s)
[//]: # ("Better to see something once than to hear about it a thousand times.")
- Mention the need for Redis if Celery is selected
- Link to PostgreSQL & Redis download pages
- Detail better how to set the environment
- Improve internal links using Sphinx' :ref
- Remove unused link
* Add note about using keep_local_envs_in_vcs
As a newbie, I wasn't sure about `keep_local_envs_in_vcs`, so I said yes, and when CC was building, it gave me the message:
"[INFO]: .env(s) are only utilized when Docker Compose and/or Heroku support is enabled so keeping them does not make sense given your current setup."
Seems like it could go in this documentation, and make things easier for newbies.
* Add me to CONTRIBUTORS.RST
* Integrate Flower with Docker Compose setup locally
* Remove alien worker celeryd option
* Move Flower COPY section below the worker's
* Remove set -o pipefail command from Flower start script
* Flower client authentication
* Override flower service image name
* Move flower service to the end of local.yml
* Install flower==0.9.2 in all environments
* Introduce production flower service
* Fix local flower start script
* Document Flower integration
* Prettify *.django envs
Rationale: consistency.
* Reference local environment Flower docs from the production's
* 'two more services' -> 'three more services'
