The Dockerfile: This file includes all the Docker instructions needed to build the Docker image of our application. As it is shown in the below file, Docker will perform the following actions to build the Docker image: Use python:3 as a base image for our application. Create the working directory inside the image and copy the requirements file. Docker for Mac is necessary to run Docker containers.host pypi.python.org -r requirements.txt # unblock port 80 for the Bottle app to run on EXPOSE 80 # execute the Flask app CMD 'python', 'app.py'. https://essentialsskiey.weebly.com/blog/sony-icd-px312-mac-software. The above docker build file uses the -t flag to tag the image with the name of bottledock.
Flask Docker ComposeUsing docker to deploy flask application
1. First, prepare a small flash application, as follows. Easy enough! Note that this deployment does not involve databases and nginx agents. In fact, these services should be deployed to different servers.
2. Create and write in the project directoryDockerfileFile, the name can’t be wrong. Because there are few Python packages involved in this flash application, there is no production requirements.txt Documents. The following are the contents of the project directory structure and dockerfile file:
3. Shell terminal CD to flash_ In the test directory, execute the create image command first. After the creation is successful, run the container according to the image.
The results are as follows:
4. At this time, enter 127.0.0.1:5000 in the browser to access the flask application in the container.
Estimated reading time: 8 minutes
Prerequisites
Work through the orientation and setup in Part 1.
Introduction
Now that you’ve set up your development environment, you can begin to develop containerized applications. In general, the development workflow looks like this:
In this stage of the tutorial, let’s focus on step 1 of this workflow: creating the images that your containers will be based on. Remember, a Docker image captures the private filesystem that your containerized processes will run in; you need to create an image that contains just what your application needs to run.
Set up
Let us download the
node-bulletin-board example project. This is a simple bulletin board application written in Node.js.
Git
If you are using Git, you can clone the example project from GitHub:
Windows (without Git)
If you are using a Windows machine and prefer to download the example project without installing Git, run the following commands in PowerShell:
Mac or Linux (without Git)
If you are using a Mac or a Linux machine and prefer to download the example project without installing Git, run the following commands in a terminal: Best 3d cad cam software for mac.
Define a container with Dockerfile
After downloading the project, take a look at the file called
Dockerfile in the bulletin board application. Dockerfiles describe how to assemble a private filesystem for a container, and can also contain some metadata describing how to run a container based on this image.
For more information about the Dockerfile used in the bulletin board application, see Sample Dockerfile.
![]() Build and test your image
Now that you have some source code and a Dockerfile, it’s time to build your first image, and make sure the containers launched from it work as expected.
Make sure you’re in the directory
node-bulletin-board/bulletin-board-app in a terminal or PowerShell using the cd command. Run the following command to build your bulletin board image:
You’ll see Docker step through each instruction in your Dockerfile, building up your image as it goes. If successful, the build process should end with a message
Successfully tagged bulletinboard:1.0 .
Windows users:
This example uses Linux containers. Make sure your environment is running Linux containers by right-clicking on the Docker logo in your system tray, and clicking Switch to Linux containers. Don’t worry - all the commands in this tutorial work the exact same way for Windows containers.
You may receive a message titled ‘SECURITY WARNING’ after running the image, noting the read, write, and execute permissions being set for files added to your image. We aren’t handling any sensitive information in this example, so feel free to disregard the warning in this example.
Run your image as a container
Conclusion
At this point, you’ve successfully built an image, performed a simple containerization of an application, and confirmed that your app runs successfully in its container. The next step will be to share your images on Docker Hub, so they can be easily downloaded and run on any destination machine.
Deploying to the cloudBuild Flask App With Docker Mac Install
To run your containers in the cloud with either Azure or AWS, check out our docs on getting started with cloud deployments.
![]() Sample Dockerfile
Writing a Dockerfile is the first step to containerizing an application. You can think of these Dockerfile commands as a step-by-step recipe on how to build up your image. The Dockerfile in the bulletin board app looks like this:
The dockerfile defined in this example takes the following steps:
You can see that these are much the same steps you might have taken to set up and install your app on your host. However, capturing these as a Dockerfile allows you to do the same thing inside a portable, isolated Docker image.
The steps above built up the filesystem of our image, but there are other lines in your Dockerfile.
The
CMD directive is the first example of specifying some metadata in your image that describes how to run a container based on this image. In this case, it’s saying that the containerized process that this image is meant to support is npm start .
The
EXPOSE 8080 informs Docker that the container is listening on port 8080 at runtime.
What you see above is a good way to organize a simple Dockerfile; always start with a
FROM command, follow it with the steps to build up your private filesystem, and conclude with any metadata specifications. There are many more Dockerfile directives than just the few you see above. For a complete list, see the Dockerfile reference.
CLI referencesDocker Flask Mysql
Further documentation for all CLI commands used in this article are available here:
Docker Hub Flaskcontainers, images, dockerfiles, node, code, coding, build, push, runComments are closed.
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