- Install Docker For Mac
- Best Docker Apps
- Run Mac App In Docker Ubuntu
- Docker Mac Address
- Update Docker App
- Run Mac App In Docker Linux
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. Installing on a Mac. Docker Desktop for Mac already includes Docker-Compose. To install Docker Desktop on Mac, download the package from here and run the installer. Note: If the above steps don't work for you, you can go to this link and find more information depending on your operating system. Step 1 — Setting Up The Django Project. Install Docker for Mac. Install docker using brew cask install docker or directly from the website here. Start XQuartz from command line using open -a XQuartz. In the XQuartz preferences, go to the “Security” tab and make sure you’ve got “Allow connections from. This article serves as transcript to our hands-on demo and as a quick refresher on how to run these kind of applications on a Mac in 5 minutes or less. For a more in depth look on how to build and run Linux GUI apps on Mac I highly recommend the full from scratch rundown, by fellow Docker Captain Alex Ellis. I am afraid not. Docker does not allow you to encapsulate Mac OSX applications in a container. Docker depends on the Linux kernel (directly or virtualized within Docker itself).
There's WineHQ to run Windows applications on Linux (and macOS). But, what about other way around? What if you want to run Linux applications on Windows (and Mac). Docker is the answer but it if you think that Docker only can run terminal applications then you're wrong.
Q: Why would you like to run GUI applications inside Docker?
A: Bad question. I don't know. This tutorial is not about the reason. It could be any reason.
Q: How can you run GUI applications inside a Docker container on Windows, Linux and Mac hosts?
A: Good question. I know the answer.
I am using a simple Docker image that I have created and uploaded into DockerHub. You can use it directly or make your own. It's as simple as this:
For Windows
- Install VcXsrv Windows X Server using the address below
- Install & start XLaunch with usual Windows setup (a.k.a. next next) until you get to Extra Settings. Check all options as below and finish configuration. It's important to disable access control. Otherwise, the request from Docker will be rejected.
- Get your IP address using ipconfig command (My IP address was 192.168.1.68 yours might be different)
- Run Firefox GUI as below
docker run --rm -it -e DISPLAY=192.168.1.68:0.0 aliustaoglu/firefox
This will create a container and from this container Firefox will run. When you finish with it, the container will be removed (--rm)
Install Docker For Mac
Quite easy
For Mac
For macOS we need to install xQuartz. You can use brew:
brew cask install xQuartz
Or download the dmg file:
After installing xQuartz, run it and check the option 'Allow connections from network clients'. Keep xQuarts running.
Now find your local IP address using
ifconfig
or any other method you know. My address was 192.168.1.76. And run bellow command:xhost + 192.168.1.76
Mac mouse speed app. Now we are ready to run the docker image:
docker run --rm -e DISPLAY=192.168.1.76:0 -v /tmp/.X11-unix:/tmp/.X11-unix aliustaoglu/firefox
For Linux
X11 (X Windows System) is the GUI environment in Unix operating systems. Since it's a native Linux platform we don't need to install xQuartz or XLaunch as Linux already has it. We only need to run this command:
docker run --rm -e DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix aliustaoglu/firefox
Endless thanks to my colleague Aaron Schlesinger for this unbelievably helpful article on running Node apps via Docker and Azure.
Best Docker Apps
Lots of people have heard success stories about docker in production, like how adopting it sped up deployments or improved uptime.
Docker isn't just for production, though. At its core, it's a tool that lets you containerize any running process and run the container on almost any host, including your local machine. That means containers can help us twice! Once during local development and testing, and then again in production.
I'll be taking you on a journey from using docker on your local machine all the way to deploying your docker image to the public internet on Azure. Before we start, you'll need to have docker installed on your local machine. See the installation instructions below for your system:
You'll also need to have the Azure
az
command line interface (CLI) installed on your machine. Follow these instructions to do the install.Finally, you'll need to have a basic idea of how node.js apps work, and how to use the command line.
Let's get started!
Before we start, let's spend two paragraphs learning a little bit and getting some terminology down. When you're containerizing your app, you first create an image, which is a package of everything your app needs to run - code, dependencies, assets and everything else. Once you have the image, any system that has docker installed on it can run your app, without any dependencies.
The 'no dependencies' part is the key, and the huge benefit for developers. docker images are completely self-contained and isolated, so the systems that run your apps only know about docker, not about your code.
How to Create an Image
To create an image, you write some commands into a
Dockerfile
. These are step-by-step instructions that docker follows to assemble everything your app needs to run. I won't go into too much detail here about Dockerfile
s, so check out the Dockerfile reference to learn everything you need to know.Here's an example Dockerfile for an app that uses yarn for its dependencies:
When you have a Dockerfile, you use
docker build
to build your image, and then docker run
to run it. For example, here's how you would build and run the app from the above Dockerfile
:A few notes about the above commands:
- The
-t
indocker build
tells docker what to name the image - The
./
indocker build
tells docker the 'build context' - the files that should be available to theDockerfile
when it does theCOPY
instructions above - The
--rm
afterdocker run
tells docker to clean up the running container when the process ends. By default, containers are not cleaned up so you can inspect them - The
-p8080:8080
indocker run
tells docker to map port 8080 in the container to port 8080 on the host
docker build
and docker run
are really useful to build and test a final product that will be deployed. Since the container runs in the same environment locally as it will in production, you can have all kinds of confidence that if you change something locally and it works, the new change will work in production too.And I mean any change - imagine how much work it would be to upgrade the version of node without containers! In the containers world, you just change the
FROM
line in your Dockerfile
.So it's dead simple to build and run your image locally, and you can use that technique to test locally, and you get tons of control over your app's environment. We'll need some good ways to run containers in production, though, so we can actually use these benefits everywhere.
There are actually two pieces we need to run images in production: Best app to transfer files from android to mac with usb.
- A docker image repository: this is a hosted service (you can host a repository yourself if you're feeling brave :P) for you to store your images
- A docker host: this is the hosted service that downloads the image from the repository and does the
docker run
for you, in the cloud. Most hosts let you scale up the number of running containers, and automatically restarts them if they crash.
Here are some of the more popular registries and hosts: I usually use for my repository and for the host, but there are a ton of other options out there for both. To give you a glimpse of how many there are, here are 9 more popular options:
- Docker Hub - an image registry hosted by Docker
- Azure Container Registry (ACR) - Azure's hosted image registry
- Google Container Registry - Google Cloud's hosted image registry
- AWS Elastic Container Registry - Amazon AWS's hosted image registry
- Azure App Service for Linux - Azure's platform-as-a-service that can also host docker images
- Azure Kubernetes Service - Azure's hosted Kubernetes service. Kubernetes is a container orchestrator, which can host, connect, and manage containers in advanced ways
- Google Kubernetes Engine - Google Cloud's hosted Kubernetes service
- Amazon AWS Container Service - Amazon AWS's hosted Kubernetes service
- Azure Container Instances (ACI) - Azure's hosted container runtime
- Google App Engine Flexible Environment Google Cloud's hosted container runtime
- Amazon AWS Fargate - Amazon AWS's hosted container runtime
I'm going to be showing how to push my image up to ACR and get it running on ACI.
Pushing My Image to ACR
Run Mac App In Docker Ubuntu
I'll need to push my image to ACR before I deploy it, so that ACI can download and run it.
First, I do my
docker build
locally as before, but with a different image name that's compatible with ACR:I should see some output like the following after this runs:
Now that I have a registry, I authorize my docker CLI to be able to push images to it:
And after that succeeds, I should see the following: How to search for an app on mac.
Interlude: Giving ACI Permissions to Pull from ACR
By default, ACR has strict permissions and ACI won't be able to pull from the registry we created. We'll need to run the below script (it may take a few minutes to run) to open up permissions for it. Make sure to save the
SP_PASSWD
and SP_APP_ID
variables when you run these commands; we'll need them in the next section.Deploying the Image to ACI
Now that the image is in our ACR registry and ACI has permissions to pull the image from our registry, we can run our image in ACI with this command:
This command may take a few minutes to run as ACI starts the docker image up. When it finishes and the docker image is running, you'll see the following long output:
Docker Mac Address
And you'll see the
Hello World!
expected output. Our container is running on the internet in the Azure cloud!We've gone from creating and running images on our local machine to uploading them to ACR and finally running them in ACI. If you don't use Docker now, following this same path, and choosing the hosted options that are right for you, is a great way to get started.
Update Docker App
![Run mac app in docker centos Run mac app in docker centos](/uploads/1/3/4/1/134138089/642806080.jpg)
Have fun!
Emily Freeman
Run Mac App In Docker Linux
Mac desktop app development. The contributors to JavaScript January are passionate engineers, designers and teachers. Emily Freeman is a developer advocate at Kickbox and curates the articles for JavaScript January.