Recently out of private beta, Docker's new native applications aim to replace the current methods for running Docker on Windows and Mac, creating a better experience for developers using those platforms. For the previous solution, Docker Toolbox used VirtualBox to create a small Linux virtual machine that hosted your images and containers. It worked pretty well, but it could be unreliable at times and required workarounds that sometimes resulted in unexpected outcomes or didn't work at all.
I can recommend that solution only if you want to test something or your project doesn’t use a framework with a lot of files. Docker Toolbox – second method. It’s an app provided by Docker Company for Mac OS and Windows. The special feature in this toolbox is the requirement for VirtualBox, which will be a supervisor to run Linux.
Docker for Mac removes the dependency on VirtualBox and instead uses virtualization technology that is already part of Mac OS X,. Docker for Windows uses Microsoft's virtualization technology,. These changes aim to make your Docker containers run faster than before, take up less disk space, and fit better into your operating system. I am a Mac user, so I'll be focusing on the Mac version of Docker's new application, but I'll highlight any significant differences with the Windows version. Install and Setup Download the native application. Successive updates to the application have made the installation process and the resulting application increasingly 'more native' and better integrated with the operating system. Because the application uses newer technologies only available in newer machines and OS versions, it has minimum requirements, which are: Mac Minimum Requirements.
A 2010 or newer model, with Intel's hardware support for memory management unit (MMU) virtualization. OS X 10.10.3 Yosemite or newer, as the HyperVisor framework used is available in Yosemite onward. At least 4GB of RAM.
VirtualBox prior to version 4.3.30 must not be installed, as it will cause issues with Docker for Mac. Windows minimum requirements. 64-bit Windows 10. Co-Existing With Docker Toolbox If you are using Docker Toolbox, your images and containers can typically coexist together. This is thanks to Docker Toolbox using VirtualBox to host images and containers and installing command line tools to more 'Linux' path locations. Both Docker for Mac and Windows are fully native to the host platform and install everything into locations you would expect ( e.g., the Applications folder), only using symlinks to make certain tools accessible on the command line. When you first run the Docker application, it will check your system for compatibility and requirements, show a welcome screen, and then start the Docker process.
Your main interaction with the Docker application will be via a menu bar item: To stop and start the Docker process, open Kitematic for GUI access to your containers, find documentation, and access preferences. Preferences and Configuration General The General pane has settings for configuring the specs of the virtual machine, updates, and excluding the virtual machine from backups (Mac only). This is a simple but useful feature to have, as it can end up being a large file. Advanced Many enterprise users of Docker use their own registries for custom images.
The advanced settings pane lets you define custom registries to search for images that you trust. The application should automatically detect any HTTP(s) proxy settings you have at an operating system level, but you can check them here. While not a part of this preference pane, it will also automatically detect any VPN settings you have, allowing access to any containers running within it. File Sharing While sharing volumes between Docker containers and the host operating system was possible with Docker Toolbox, it could be slow and suffer permissions issues.
Docker for Mac uses a new file system created by Docker called 'osxfs.' I can’t find much detail on the new file system, but there is. You can add or remove shared local paths to share with containers using the + and – buttons, but these paths shouldn't overlap ( e.g., not Users and Users/homefolder).
Using Docker Natively Little of the process for using Docker has changed, except that it requires fewer steps. For example, with the application running, you can use Kitematic or the command line to download and start images as containers. Here's the “Hello World” image running in Kitematic: Notice something else cool there?
No more custom IP addresses to remember! All your Docker containers now run on localhost and will be port mapped to the address. Other Docker commands, such as docker-compose and docker-machine, work, but for Machine (and thus Swarm) you will need to define a.
This means you can manage Docker Machine from your Mac, but the machines will still be hosted elsewhere and still need to be managed by the traditional eval $(docker-machine env default) commands. I personally use Docker for rapid testing and prototyping ideas, and so rarely take my containers off my Mac. Of course, few people will use Docker with Mac or Windows in production, so many might ask if there is much point in the Docker team making native applications for these platforms. Still, a lot of developers will be using these platforms during development, and I for one thank the Docker team for making my experience feel much more friendly and accessible. The applications are still considered betas, and the team welcomes any feedback you have to help them improve, so if you also appreciate the effort made,.
I installed the Docker Beta for Mac and found no /.docker/ directory. As mentioned in ' With Docker for Mac, you get only one VM, and you don’t manage it. It is managed by the Docker for Mac application, which includes autoupdate to update the client and server versions of Docker. If you need several VMs and want to manage the version of the Docker client or server you are using, you can continue to use docker-machine So you will see certs in /.docker/machine only if you decide to create your own. With the new Docker for Mac setup, check if there are any certificates in /Applications/Docker.app/ (as in /Applications/Docker.app/Contents/Resources) If you rely on the default HyperKit, then there is no need for certificate in order to contact the VM with docker command. As illustrated by the comments below (and the 's ), the default VM is only accessed through /var/run/docker.sock.
As comments below, that can be a challenge for some software like: when it (PyCharm) tries to connect it produces: Cannot connect: javax.ws.rs.ProcessingException: Could not initialize class org.newsclub.net.unix.NativeUnixSocket' suggests: This is due to that Docker plugin is bundled in PyCharm. It could be updated manually but even with Docker 2.3.1 the problem with Docker Python interpreter will not be fixed. The next PyCharm 2016.2 EAP with the fix is on its way. The workaround with socat you described will be available in the next PyCharm 2016.2 EAP. The next EAP will be released soon with the updated Docker plugin version.
Socat TCP-LISTEN:2375,reuseaddr,fork UNIX-CONNECT:/var/run/docker.sock. @VonC takes the best answer. I just wanna to provide my solution about this question. The question is about using a connection to manage docker. In fact I am using Docker Integration in IntelliJ. As mentioned in At installation time, Docker for Mac provisions an HyperKit VM based on Alpine Linux, running Docker Engine. It exposes the docker API on a socket in /var/tmp/docker.sock However, it's not the truth, the real socket path is /var/run/docker.sock.
You can now use unix:///var/run/docker.sock as API URL in Docker Integration, not certificate files are needed. Guess what, Docker Integration ver 2.2., which works in the stable build(2016.1), failed with unix connection in Mac and got fixed in ver 2.3.1, which works in the preview build(2016.2). Which means if you want to make it works properly, you will need to update your IntelliJ to the preview build and install the newest plugin. Here's the worst thing. The Docker Integration ver 2.3.1 got NullPointerException when deploying the Dockerfile, which works in the stable version of IntelliJ and Docker Integration ver 2.2.
via http connection. I have sent an email to the plugin author and waiting for a furthur solution. 2.3.2 Docker plugin, PyCharm build 162.1237.1. It now informs you to run the command socat. When you try to enter unix:///var/run/docker.sock as the API URL. After doing this (and pointing the URL at localhost) the server connects to the Docker Beta system and allows u to select an image.
However, It gets stuck 'waiting for connection' while connecting to the debugger. It starts the container and inside if I run ps aux I see python -u /opt/.pycharmhelpers/pydev/pydevd.py -multiproc -qt-support -client 10.0.2.2 -port 61276 -file /opt/project/app.py.
The file is there too, Any pointers? – Jul 23 '16 at 1:59.
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