Osx Connection Sharing Confuses Docker For Mac
Using for development is a great way of ensuring that what you develop will be the same that you deploy in production. This is true for almost everything. If you develop on Linux, the above statement holds.
If you develop on a different operating system (OSX or Windows) there are several restrictions. I showed one of those issues in a recent article (.) When you want to export a port from a service running in the container, the exported port is not available in your mac, but in the virtual machine that runs Docker services. This happens with any application that listens to a port. The second limitation I found affects only MySQL, and it is related to using volumes.
The proper way of achieving data persistence with containers is, i.e. Telling the container to run the data directory in a virtual path that refers to some safe place in the host computer. That can't be done on a Mac, because the host computer is a virtual machine, and even though Docker can access a folder in your Mac, the server installation fails for lack of permissions. Both the above restrictions are lifted if you use. It's a private beta: you need to apply and wait to be given an operational token, but once you are in, you notice the differences between the beta and the 'old' Docker-Toolbox:. The Docker app is a native app, which you install by copying its icon to the /Application folder;. You don't need Virtualbox or VMware Fusion.
It comes with based on. There is no need to run docker-machine start xxx and eval $(docker-machine env xxx). The new app is fully integrated with the OS. Ports exported from a container are available in your Mac.
You can keep both the Docker Toolbox and the new Docker app in the same host, provided that you don't run them both in the same terminal session. Back to our claim of lifted limitations: let's try a full installation on a Mac as we would do it on Linux.
Is an amazing product. In a very short amount of time it's drastically changed (for the better) how we at deploy our applications. With everything containerized, it becomes very easy to run an arbitrary number of apps on a small cluster of servers. However, there's one big challenge with adopting Docker for our developers: it doesn't natively work on OS X. There have been several solutions for this, such as. These tools create and manage a virtual machine for you that runs the Docker daemon.
This allows you to configure the Docker client to communicate with the virtual machine, effectively allowing you to use containers in OS X. These existing tools work well, but I felt like they were too complex. Why do I need to run eval $(docker-machine env docker) just so I can work?
Osx Connection Sharing Confuses Docker For Mac
I just want to use Docker, I don't want to have to remember to run a command and pay attention to environment variables just to build a container. The reason those environment variables are necessary is because the Docker client defaults to sending requests to /var/run/docker.sock, which is a unix socket file that exists on a computer that's running the Docker daemon. Since the Docker daemon is actually running in a virtual machine, that file doesn't exist in OS X so we have to tell the client what to connect to by setting environment variables. But what if we could just make that socket file exist? That would remove the need for setting environment variables.
This means no more running eval commands in your bash profile, something that has always made the Ops part of me very nervous. That idea was the inspiration behind my project. I wrote DLite in Go, which allows me to distribute it as a single binary, which is incredibly user friendly. Installation is as simple as downloading for the latest release, copying it somewhere in your PATH (homebrew users, the easiest place is /usr/local/bin/) and running sudo dlite install.
The installation script creates an empty file to serve as your virtual machine's hard drive, and downloads an operating system that the virtual machine will run. Currently the operating system in use is another of my projects that was created with the intention of giving you the smallest possible OS to allow running Docker. After the installation, you can start the virtual machine by running launchctl start local.dlite.
You could also log out and log back in to have it started for you automatically. Since DLite leverages a per-user launchd agent, it will run as soon as you log in. After waiting a few seconds (the virtual machine needs a short amount of time to boot) and installing the Docker client if you haven't already (I recommend homebrew for that, brew install docker), you can start running Docker commands. Since DLite creates a /var/run/docker.sock file that simply forwards requests to the correct port of the virtual machine, there is no additional setup. There's no need to set any environment variables, or to eval some strange looking command. The Docker client just works. Since mounting volumes into a container is one of Docker's big strengths, DLite also mounts your entire /Users directory into the virtual machine via NFS.
This means that for most use cases, you'll be able to attach your volumes without issue. Since Docker is, in fact, running in a virtual machine the only other thing you have to get used to is that your services aren't available at localhost. Instead DLite creates an entry in your /etc/hosts file for you so you can access your services at the hostname local.docker.
Osx Connection Sharing Confuses Docker For Mac Mac
As part of the installation, DLite also injects your public SSH key into the virtual machine. If you needed to access the virtual machine directly for some reason, that can be done by running ssh docker@local.docker. Now for the bad news.
Docker On Mac
DLite leverages through some. This means that all of xhyve's limitations also apply to DLite. You need to be on at least OS X Yosemite (specifically 10.10.3) and have a relatively new Mac in order to use it. If you meet xhyve's requirements, however, I think DLite is about as easy as Docker on OS X can get. Try it out, let me know what you think. If you have any problems don't hesitate to open an.