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Re:Docker orchestration by mikewhy on Monday February 09, 2015 @11:40AM (#9022060)
> It is fucki*ng hard to create a postgres database without using psql or connect directly to the database.

well ideally you would have a script to create the DB and possibly migrate it. IE this will create a PG database from `DATABASE_URL`

    import dj_database_url
    import psycopg2
    from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT

    config = dj_database_url.config()
    db_conn = psycopg2.connect(host=config['HOST'],
        port=config['PORT'],
        user=config['USER'],
        password=config['PASSWORD'])
    db_conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)

    db_cur = db_conn.cursor()
    db_cur.execute('CREATE DATABASE ' + config['NAME'])

    db_cur.close()
    db_conn.close()
then it's simply a matter of `fig up` + `fig run web python manage.py createdb`
Re:Docker orchestration by kdomanski on Tuesday February 10, 2015 @11:03AM (#9027968)
Not even that is necessary.

> The best solution probably is to create a new database during image creation, but in the official Postgres image this option is still not available.

The official image's README (https://registry.hub.docker.com/_/postgres/) says otherwise - both a user and a database will be created with name $POSTGRES_USER (if set).

Furthermore, one can run postgres in single-user mode to prepare any initial db image on top of the official one.

Re:Docker orchestration by falcolas on Monday February 09, 2015 @12:17PM (#9022288)
As a point of comparison, an approximation (ie. untested, probably some syntax errors) of the corresponding Ansible tasks:

    - apt: name={{ item }}
      with_items:
        - postgresql-server
        - nginx
    - pip: name={{ item }}
      with_items:
        - flask
        - peewee
    - copy: src=nginx/static dest=/www/ recurse=yes
    - copy: src=nginx/sites_enabled dest=/etc/nginx/ recurse=yes
    - service: name=postgresql state=running enabled=yes
    - service: name=nginx state=running enabled=yes
    - postgresql_user: name=foo password=oof priv=table1,table2
    - file: path=/usr/src/app state=directory
    - copy: src=app.py dest=/usr/src/app/app.py
    - copy: src=templates dest=/usr/src/app/ recurse=yes
    - copy: src=python_app.conf dest=/etc/init/
    - service: name=python_app state=started enabled=yes
Implementation note: this uses an init file for the python app, which will depend upon what OS and init system you're running it under. Also missing handlers for restarting services when config files change.
Re:Docker orchestration by altcognito on Monday February 09, 2015 @12:49PM (#9022486)
They seem fairly similar -- this wouldn't provide container separation between your pg/nginx/python layers right?
Re:Docker orchestration by falcolas on Monday February 09, 2015 @01:39PM (#9022801)
No, though to my mind the separation is not really required for this trivial of an install.

I would want the separation if I was running untrusted code, or if I was running custom software which required non-standard library dependencies. Then I'd want to split off that code, not necessarily every process.

Nginx and PostgreSQL in particular written well enough to compartmentalize themselves within their own processes, and don't typically require additional isolation.

Re:Docker orchestration by kylek on Monday February 09, 2015 @10:55AM (#9021776)
The post mentions losing database data when doing a "rm". Couldn't you set a volume parameter on the postgres container (to /var/lib/postgres or wherever data is stored) to prevent that? Or am I missing something?
Re:Docker orchestration by rackninja on Monday February 09, 2015 @11:13AM (#9021882)
Yes you could since docker-compose(aka fig) supports volumes. Or just run a database on another machine/remote service and connect to it.
Re:Docker orchestration by berbc on Monday February 09, 2015 @12:16PM (#9022285)
It's a bit of a basic overview of docker-compose. I would have liked to see how to handle more sophisticated patterns such as the data volume container, and how to manage database initialization, both in development and in production.