tyler.durden
/
compose
mirror of https://github.com/docker/compose.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
compose/experimental/compose_swarm_networking.md

8.7 KiB
Raw Blame History

Experimental: Compose, Swarm and Multi-Host Networking

The experimental build of Docker has an entirely new networking system, which enables secure communication between containers on multiple hosts. In combination with Docker Swarm and Docker Compose, you can now run multi-container apps on multi-host clusters with the same tooling and configuration format you use to develop them locally.

Note: This functionality is in the experimental stage, and contains some hacks and workarounds which will be removed as it matures.

Prerequisites

Before you start, you’ll need to install the experimental build of Docker, and the latest versions of Machine and Compose.

  • To install the experimental Docker build on a Linux machine, follow the instructions here.

  • To install the experimental Docker build on a Mac, run these commands:

    $ curl -L https://experimental.docker.com/builds/Darwin/x86_64/docker-latest > /usr/local/bin/docker
$ chmod +x /usr/local/bin/docker

  • To install Machine, follow the instructions here.

  • To install Compose, follow the instructions here.

You’ll also need a Docker Hub account and a Digital Ocean account.

Set up a swarm with multi-host networking

Set the DIGITALOCEAN_ACCESS_TOKEN environment variable to a valid Digital Ocean API token, which you can generate in the API panel.

DIGITALOCEAN_ACCESS_TOKEN=abc12345

Start a consul server:

docker-machine create -d digitalocean --engine-install-url https://experimental.docker.com consul
docker $(docker-machine config consul) run -d -p 8500:8500 -h consul progrium/consul -server -bootstrap

(In a real world setting you’d set up a distributed consul, but that’s beyond the scope of this guide!)

Create a Swarm token:

SWARM_TOKEN=$(docker run swarm create)

Create a Swarm master:

docker-machine create -d digitalocean --swarm --swarm-master --swarm-discovery=token://$SWARM_TOKEN --engine-install-url="https://experimental.docker.com" --digitalocean-image "ubuntu-14-10-x64" --engine-opt=default-network=overlay:multihost --engine-label=com.docker.network.driver.overlay.bind_interface=eth0 --engine-opt=kv-store=consul:$(docker-machine ip consul):8500 swarm-0

Create a Swarm node:

docker-machine create -d digitalocean --swarm --swarm-discovery=token://$SWARM_TOKEN --engine-install-url="https://experimental.docker.com" --digitalocean-image "ubuntu-14-10-x64" --engine-opt=default-network=overlay:multihost --engine-label=com.docker.network.driver.overlay.bind_interface=eth0 --engine-opt=kv-store=consul:$(docker-machine ip consul):8500 --engine-label com.docker.network.driver.overlay.neighbor_ip=$(docker-machine ip swarm-0) swarm-1

You can create more Swarm nodes if you want - it’s best to give them sensible names (swarm-2, swarm-3, etc).

Finally, point Docker at your swarm:

eval "$(docker-machine env --swarm swarm-0)"

Run containers and get them communicating

Now that you’ve got a swarm up and running, you can create containers on it just like a single Docker instance:

$ docker run busybox echo hello world
hello world

If you run docker ps -a, you can see what node that container was started on by looking at its name (here it’s swarm-3):

$ docker ps -a
CONTAINER ID        IMAGE                      COMMAND                CREATED              STATUS                      PORTS                                   NAMES
41f59749737b        busybox                    "echo hello world"     15 seconds ago       Exited (0) 13 seconds ago                                           swarm-3/trusting_leakey

As you start more containers, they’ll be placed on different nodes across the cluster, thanks to Swarm’s default “spread” scheduling strategy.

Every container started on this swarm will use the “overlay:multihost” network by default, meaning they can all intercommunicate. Each container gets an IP address on that network, and an /etc/hosts file which will be updated on-the-fly with every other container’s IP address and name. That means that if you have a running container named ‘foo’, other containers can access it at the hostname ‘foo’.

Let’s verify that multi-host networking is functioning. Start a long-running container:

$ docker run -d --name long-running busybox top
<container id>

If you start a new container and inspect its /etc/hosts file, you’ll see the long-running container in there:

$ docker run busybox cat /etc/hosts
...
172.21.0.6  long-running

Verify that connectivity works between containers:

$ docker run busybox ping long-running
PING long-running (172.21.0.6): 56 data bytes
64 bytes from 172.21.0.6: seq=0 ttl=64 time=7.975 ms
64 bytes from 172.21.0.6: seq=1 ttl=64 time=1.378 ms
64 bytes from 172.21.0.6: seq=2 ttl=64 time=1.348 ms
^C
--- long-running ping statistics ---
3 packets transmitted, 3 packets received, 0% packet loss
round-trip min/avg/max = 1.140/2.099/7.975 ms

Run a Compose application

Here’s an example of a simple Python + Redis app using multi-host networking on a swarm.

Create a directory for the app:

$ mkdir composetest
$ cd composetest

Inside this directory, create 2 files.

First, create app.py - a simple web app that uses the Flask framework and increments a value in Redis:

from flask import Flask
from redis import Redis
import os
app = Flask(__name__)
redis = Redis(host='composetest_redis_1', port=6379)

@app.route('/')
def hello():
    redis.incr('hits')
    return 'Hello World! I have been seen %s times.' % redis.get('hits')

if __name__ == "__main__":
    app.run(host="0.0.0.0", debug=True)

Note that we’re connecting to a host called composetest_redis_1 - this is the name of the Redis container that Compose will start.

Second, create a Dockerfile for the app container:

FROM python:2.7
RUN pip install flask redis
ADD . /code
WORKDIR /code
CMD ["python", "app.py"]

Build the Docker image and push it to the Hub (you’ll need a Hub account). Replace <username> with your Docker Hub username:

$ docker build -t <username>/counter .
$ docker push <username>/counter

Next, create a docker-compose.yml, which defines the configuration for the web and redis containers. Once again, replace <username> with your Hub username:

web:
  image: <username>/counter
  ports:
   - "80:5000"
redis:
  image: redis

Now start the app:

$ docker-compose up -d
Pulling web (username/counter:latest)...
swarm-0: Pulling username/counter:latest... : downloaded
swarm-2: Pulling username/counter:latest... : downloaded
swarm-1: Pulling username/counter:latest... : downloaded
swarm-3: Pulling username/counter:latest... : downloaded
swarm-4: Pulling username/counter:latest... : downloaded
Creating composetest_web_1...
Pulling redis (redis:latest)...
swarm-2: Pulling redis:latest... : downloaded
swarm-1: Pulling redis:latest... : downloaded
swarm-3: Pulling redis:latest... : downloaded
swarm-4: Pulling redis:latest... : downloaded
swarm-0: Pulling redis:latest... : downloaded
Creating composetest_redis_1...

Swarm has created containers for both web and redis, and placed them on different nodes, which you can check with docker ps:

$ docker ps
CONTAINER ID        IMAGE                      COMMAND                CREATED             STATUS              PORTS                                  NAMES
92faad2135c9        redis                      "/entrypoint.sh redi   43 seconds ago      Up 42 seconds                                              swarm-2/composetest_redis_1
adb809e5cdac        username/counter           "/bin/sh -c 'python    55 seconds ago      Up 54 seconds       45.67.8.9:80->5000/tcp                 swarm-1/composetest_web_1

You can also see that the web container has exposed port 80 on its swarm node. If you curl that IP, you’ll get a response from the container:

$ curl http://45.67.8.9
Hello World! I have been seen 1 times.

If you hit it repeatedly, the counter will increment, demonstrating that the web and redis container are communicating:

$ curl http://45.67.8.9
Hello World! I have been seen 2 times.
$ curl http://45.67.8.9
Hello World! I have been seen 3 times.
$ curl http://45.67.8.9
Hello World! I have been seen 4 times.