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I am following the instructions at https://docs.docker.com/compose/django/ to get a basic dockerized django app going. I am able to run it locally without a problem but I am having trouble to deploy it to AWS using Elastic Beanstalk. After reading here, I figured that I need to translate docker-compose.yml into Dockerrun.aws.json for it to work.

The original docker-compose.yml is

version: '2'
services:
  db:
    image: postgres
  web:
    build: .
    command: python manage.py runserver 0.0.0.0:8000
    volumes:
      - .:/code
    ports:
      - "8000:8000"
    depends_on:
      - db

and here is what I translated so far

{
  "AWSEBDockerrunVersion": 2,
  "volumes": [
    {
      "name": "db"
    },
    {
      "name": "web"
    }
  ],
  "containerDefinitions": [
    {
      "name": "db",
      "image": "postgres",
      "essential": true,
      "memory": 256,
      "mountPoints": [
        {
          "sourceVolume": "db"
          "containerPath": "/var/app/current/db"
        }
      ]
    },
    {
      "name": "web",
      "image": "web",
      "essential": true,
      "memory": 256,
      "mountPoints": [
        {
          "sourceVolume": "web"
          "containerPath": "/var/app/current/web"
        }
      ],
      "portMappings": [
       {
         "hostPort": 8000,
         "containerPort": 8000
       }
     ],
     "links": [
        "db"
      ],
      "command": "python manage.py runserver 0.0.0.0:8000"
    }
  ]
}

but it's not working. What am I doing wrong?

user3667089
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2 Answers2

36

I was struggling to get the ins and outs of the Dockerrun format. Check out Container Transform: "Transforms docker-compose, ECS, and Marathon configurations"... it's a life-saver. Here is what it outputs for your example:

{
    "containerDefinitions": [
        {
            "essential": true,
            "image": "postgres",
            "name": "db"
        },
        {
            "command": [
                "python",
                "manage.py",
                "runserver",
                "0.0.0.0:8000"
            ],
            "essential": true,
            "mountPoints": [
                {
                    "containerPath": "/code",
                    "sourceVolume": "_"
                }
            ],
            "name": "web",
            "portMappings": [
                {
                    "containerPort": 8000,
                    "hostPort": 8000
                }
            ]
        }
    ],
    "family": "",
    "volumes": [
        {
            "host": {
                "sourcePath": "."
            },
            "name": "_"
        }
    ]
}
Container web is missing required parameter "image".
Container web is missing required parameter "memory".
Container db is missing required parameter "memory".

That is, in this new format, you must tell it how much memory to allot each container. Also, you need to provide an image - there is no option to build. As is mentioned in the comments, you want to build and push to DockerHub or ECR, then give it that location: eg [org name]/[repo]:latest on Dockerhub, or the URL for ECR. But container-transform does the mountPoints and volumes for you - it's amazing.

Sam H.
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2

You have a few issues.

1) 'web' doesn't appear to be an 'image', you define it as 'build . ' in your docker-compose.. Remember, the Dockerrun.aws.json will have to pull the image from somewhere (easiest is to use ECS's Repositories)

2) I think 'command' is an array. So you'd have:

"command": ["python" "manage.py" "runserver" "0.0.0.0:8000"]

3) your mountPoints are correct, but the volume definition at the top is wrong. { "name": "web", "host": { "sourcePath": "/var/app/current/db" } Im not 100% certain, but the path works for me. if you have the Dockerrun.aws.json file, next to is a directory called /db .. then that will be the mount location.

alphaadidas
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  • I used `docker build` and `docker push` to hub.docker.com to achieve 1), I think you need commas in between the arguments for 2). But it's still not working ... could you share the Dockerrun.aws.json that works for you and also the image that works for you? – user3667089 Sep 13 '16 at 17:04