Linking containers together

Linking Containers Together

In the Using Docker section, you saw how you can connect to a service running inside a Docker container via a network port. But a port connection is only one way you can interact with services and applications running inside Docker containers. In this section, we'll briefly revisit connecting via a network port and then we'll introduce you to another method of access: container linking.

Network port mapping refresher

In the Using Docker section, you created a container that ran a Python Flask application:

$ sudo docker run -d -P training/webapp python app.py

Note: Containers have an internal network and an IP address (as we saw when we used the docker inspect command to show the container's IP address in the Using Docker section). Docker can have a variety of network configurations. You can see more information on Docker networking here.

When that container was created, the -P flag was used to automatically map any network ports inside it to a random high port from the range 49000 to 49900 on our Docker host. Next, when docker ps was run, you saw that port 5000 in the container was bound to port 49155 on the host.

$ sudo docker ps nostalgic_morse
CONTAINER ID  IMAGE                   COMMAND       CREATED        STATUS        PORTS                    NAMES
bc533791f3f5  training/webapp:latest  python app.py 5 seconds ago  Up 2 seconds  0.0.0.0:49155->5000/tcp  nostalgic_morse

You also saw how you can bind a container's ports to a specific port using the -p flag:

$ sudo docker run -d -p 5000:5000 training/webapp python app.py

And you saw why this isn't such a great idea because it constrains you to only one container on that specific port.

There are also a few other ways you can configure the -p flag. By default the -p flag will bind the specified port to all interfaces on the host machine. But you can also specify a binding to a specific interface, for example only to the localhost.

$ sudo docker run -d -p 127.0.0.1:5000:5000 training/webapp python app.py

This would bind port 5000 inside the container to port 5000 on the localhost or 127.0.0.1 interface on the host machine.

Or, to bind port 5000 of the container to a dynamic port but only on the localhost, you could use:

$ sudo docker run -d -p 127.0.0.1::5000 training/webapp python app.py

You can also bind UDP ports by adding a trailing /udp. For example:

$ sudo docker run -d -p 127.0.0.1:5000:5000/udp training/webapp python app.py

You also learned about the useful docker port shortcut which showed us the current port bindings. This is also useful for showing you specific port configurations. For example, if you've bound the container port to the localhost on the host machine, then the docker port output will reflect that.

$ docker port nostalgic_morse 5000
127.0.0.1:49155

Note: The -p flag can be used multiple times to configure multiple ports.

Docker Container Linking

Network port mappings are not the only way Docker containers can connect to one another. Docker also has a linking system that allows you to link multiple containers together and send connection information from one to another. When containers are linked, information about a source container can be sent to a recipient container. This allows the recipient to see selected data describing aspects of the source container.

Container naming

To establish links, Docker relies on the names of your containers. You've already seen that each container you create has an automatically created name; indeed you've become familiar with our old friend nostalgic_morse during this guide. You can also name containers yourself. This naming provides two useful functions:

  1. It can be useful to name containers that do specific functions in a way that makes it easier for you to remember them, for example naming a container containing a web application web.

  2. It provides Docker with a reference point that allows it to refer to other containers, for example, you can specify to link the container web to container db.

You can name your container by using the --name flag, for example:

$ sudo docker run -d -P --name web training/webapp python app.py

This launches a new container and uses the --name flag to name the container web. You can see the container's name using the docker ps command.

$ sudo docker ps -l
CONTAINER ID  IMAGE                  COMMAND        CREATED       STATUS       PORTS                    NAMES
aed84ee21bde  training/webapp:latest python app.py  12 hours ago  Up 2 seconds 0.0.0.0:49154->5000/tcp  web

You can also use docker inspect to return the container's name.

$ sudo docker inspect -f "{{ .Name }}" aed84ee21bde
/web

Note: Container names have to be unique. That means you can only call one container web. If you want to re-use a container name you must delete the old container (with docker rm) before you can create a new container with the same name. As an alternative you can use the --rm flag with the docker run command. This will delete the container immediately after it is stopped.

Container Linking

Links allow containers to discover each other and securely transfer information about one container to another container. When you set up a link, you create a conduit between a source container and a recipient container. The recipient can then access select data about the source. To create a link, you use the --link flag. First, create a new container, this time one containing a database.

$ sudo docker run -d --name db training/postgres

This creates a new container called db from the training/postgres image, which contains a PostgreSQL database.

Now, you need to delete the web container you created previously so you can replace it with a linked one:

$ docker rm -f web

Now, create a new web container and link it with your db container.

$ sudo docker run -d -P --name web --link db:db training/webapp python app.py

This will link the new web container with the db container you created earlier. The --link flag takes the form:

--link name:alias

Where name is the name of the container we're linking to and alias is an alias for the link name. You'll see how that alias gets used shortly.

Next, look at your linked containers using docker ps.

$ docker ps
CONTAINER ID  IMAGE                     COMMAND               CREATED             STATUS             PORTS                    NAMES
349169744e49  training/postgres:latest  su postgres -c '/usr  About a minute ago  Up About a minute  5432/tcp                 db, web/db
aed84ee21bde  training/webapp:latest    python app.py         16 hours ago        Up 2 minutes       0.0.0.0:49154->5000/tcp  web

You can see your named containers, db and web, and you can see that the db container also shows web/db in the NAMES column. This tells you that the web container is linked to the db container, which allows it to access information about the db container.

So what does linking the containers actually do? You've learned that a link creates a source container that can provide information about itself to a recipient container. In our example, the recipient, web, can access information about the source db. To do this, Docker creates a secure tunnel between the containers that doesn't need to expose any ports externally on the container; you'll note when we started the db container we did not use either the -P or -p flags. That's a big benefit of linking: we don't need to expose the source container, here the PostgreSQL database, to the network.

Docker exposes connectivity information for the source container to the recipient container in two ways:

  • Environment variables,
  • Updating the /etc/hosts file.

Docker can set a number of environment variables. You run the env command to list the specified container's environment variables.

    $ sudo docker run --rm --name web2 --link db:db training/webapp env
    . . .
    DB_NAME=/web2/db
    DB_PORT=tcp://172.17.0.5:5432
    DB_PORT_5000_TCP=tcp://172.17.0.5:5432
    DB_PORT_5000_TCP_PROTO=tcp
    DB_PORT_5000_TCP_PORT=5432
    DB_PORT_5000_TCP_ADDR=172.17.0.5
    . . .

Note: These Environment variables are only set for the first process in the container. Similarly, some daemons (such as sshd) will scrub them when spawning shells for connection.

You can see that Docker has created a series of environment variables with useful information about the source db container. Each variable is prefixed with DB_, which is populated from the alias you specified above. If the alias were db1, the variables would be prefixed with DB1_. You can use these environment variables to configure your applications to connect to the database on the db container. The connection will be secure and private; only the linked web container will be able to talk to the db container.

In addition to the environment variables, Docker adds a host entry for the source container to the /etc/hosts file. Here's an entry for the web container:

$ sudo docker run -t -i --rm --link db:db training/webapp /bin/bash
root@aed84ee21bde:/opt/webapp# cat /etc/hosts
172.17.0.7  aed84ee21bde
. . .
172.17.0.5  db

You can see two relevant host entries. The first is an entry for the web container that uses the Container ID as a host name. The second entry uses the link alias to reference the IP address of the db container. You can ping that host now via this host name.

root@aed84ee21bde:/opt/webapp# apt-get install -yqq inetutils-ping
root@aed84ee21bde:/opt/webapp# ping db
PING db (172.17.0.5): 48 data bytes
56 bytes from 172.17.0.5: icmp_seq=0 ttl=64 time=0.267 ms
56 bytes from 172.17.0.5: icmp_seq=1 ttl=64 time=0.250 ms
56 bytes from 172.17.0.5: icmp_seq=2 ttl=64 time=0.256 ms

Note: In the example, you'll note you had to install ping because it was not included in the container initially.

Here, you used the ping command to ping the db container using its host entry, which resolves to 172.17.0.5. You can use this host entry to configure an application to make use of your db container.

Note: You can link multiple recipient containers to a single source. For example, you could have multiple (differently named) web containers attached to your db container.

Next step

Now that you know how to link Docker containers together, the next step is learning how to manage data, volumes and mounts inside your containers.

Go to Managing Data in Containers.