An Update on Using Docker Machine with Vagrant
As part of a project on which I’m working, I’ve been spending some time working with Docker Machine and Vagrant over the last few days. You may recall that I first wrote about using these two tools together back in August 2015. As a result of spending some additional time with these tools—which I chose because I felt like they streamlined some work around this project—I’ve uncovered some additional information that I wanted to share with readers.
As a brief recap to the original article, I showed how you could use Vagrant to quickly and easily spin up a VM, then use Docker Machine’s generic driver to add it to Docker Machine, like this:
docker-machine create -d generic \
--generic-ssh-user vagrant \
--generic-ssh-key ~/.vagrant.d/insecure_private_key \
--generic-ip-address <IP address of VM> \
<name of VM>
This approach works fine if the Vagrant-created VM is reachable without port forwarding. What do I mean? In the past, the VMware provider for Vagrant used functionality in VMware Fusion or VMware Workstation to provide an RFC 1918-addressed network that had external access via network address translation (NAT). In Fusion, for example, this was the default “Share with my Mac” network. Thus, when Continue reading
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I think it depends on what you mean when you use the term design. If we are talking about the overlay, or traffic engineering, or even quality of service, I think we will see a rising trend towards using machine learning in network environments to help solve those problems. I am not convinced machine learning can solve these problems, in the sense of leaving humans out of the loop, but humans could set the parameters up, let the neural network learn the flows, and then let the machine adjust things over time. I tend to think this kind of work will be pretty narrow for a long time to come.
Arpit Joshipura serves as executive director of LFN.