os/macOS/Q&A.md
Still the dates has not been announced
With Docker for Mac, we talk about Developers and not Kubernetes developers. Kubernetes is just one part of Docker for Mac. We can use Minikube too under Docker for Mac.
No Tentative dates
It should be technically possible. But the general ask from the community is having a single-node cluster.
Yes. Check out the Release Notes of the latest 18.03 Release
There is no docker0 bridge on macOS Because of the way networking is implemented in Docker for Mac, you cannot see a docker0 interface on the host. This interface is actually within the virtual machine.
Docker for Mac can’t route traffic to containers. Per-container IP addressing is not possible The docker (Linux) bridge network is not reachable from the macOS host.
There are two scenarios that the above limitations affect:
The host has a changing IP address (or none if you have no network access). From 18.03 onwards our recommendation is to connect to the special DNS name host.docker.internal, which resolves to the internal IP address used by the host.
The gateway is also reachable as gateway.docker.internal.
Port forwarding works for localhost; --publish, -p, or -P all work. Ports exposed from Linux are forwarded to the host.
Our current recommendation is to publish a port, or to connect from another container. This is what you need to do even on Linux if the container is on an overlay network, not a bridge network, as these are not routed.
The command to run the nginx webserver shown in Getting Started is an example of this.
$ docker run -d -p 80:80 --name webserver nginx
To clarify the syntax, the following two commands both expose port 80 on the container to port 8000 on the host:
$ docker run --publish 8000:80 --name webserver nginx
$ docker run -p 8000:80 --name webserver nginx
To expose all ports, use the -P flag. For example, the following command starts a container (in detached mode) and the -P exposes all ports on the container to random ports on the host.
$ docker run -d -P --name webserver nginx
See the run command for more details on publish options used with docker run.