Merge branch '1.0'

This commit is contained in:
Matthias Radestock committed 2015-07-27 14:25:06 +01:00
commit ce37b622eb
1 file changed
+19 -11
+19 -11
View File
@@ -65,22 +65,30 @@ Say you have docker running on two hosts, accessible to each other as
`$HOST1` and `$HOST2`, and want to deploy an application consisting of
two containers, one on each host.
First start weave on $HOST1:
On $HOST1 we run:
host1$ weave launch && weave launch-dns && weave launch-proxy
this runs the weave router, DNS and Docker API proxy, each in their
own container. Next we configure our `DOCKER_HOST` environment
variable to point to the proxy, so that containers launched via the
docker command line are automatically attached to the weave network:
host1$ eval $(weave proxy-env)
Finally we run our application container; this happens via the proxy
so it is automatically allocated an IP address and registered in DNS:
host1$ docker run --name a1 -ti ubuntu
> NB: If the first command results in an error like
> `http:///var/run/docker.sock/v1.19/containers/create: dial unix
> /var/run/docker.sock: permission denied. Are you trying to connect
> to a TLS-enabled daemon without TLS?` then you likely need to be
> 'root' in order to connect to the Docker daemon. If so, run the
> above and all subsequent commands in a *single* root shell (e.g. one
> created with `sudo -s`). Do *not* prefix individual commands with
> `sudo`, since some commands modify environment entries and hence
> they all need to be executed from the same shell.
The first line runs the weave router, DNS and Docker API proxy, each
in their own container. The second line sets the `DOCKER_HOST`
environment variable to point to the proxy, so that containers
launched via the docker command line are automatically attached to the
weave network. Finally, we run our application container; this happens
via the proxy so it is automatically allocated an IP address and
registered in DNS.
That's it! If our application consists of more than one container on
this host we simply launch them with `docker run` as appropriate.