We just create a Docker file of was a front end application, and during built brought us you'll see
six steps from rogue deer exports.
Copy one and one more Copia.
We give that here.
We copy all the remaining application files after npm install.
In order to be able to reuse guest Leros for result in custom image on doorsteps, go up and run and
only create new layer at this step.
Similarly, in order to optimize Docker attribute Broaddus, we did that for Python API service.
Alright, let's not go ahead and build this custom image.
Let's go to the terminal and I'll do that here and this step where I stopped that front end application
and I could ensure that now it is not running by going to a browser and or represent web page here and
now I see this site can be reached.
Great.
Ensure that you are in the front end folder.
If you type BW, you should see path to front and folder in the Images Gallery folder, and here you
should see Docker, a file that we just created and now lets around Docker build process by entering
command.
Docker Build Dot Dot stands for current directory, but before doing that, let's the following Let's
actually remove completely folder gold.
No more this one and you'll see that node modules folder will be created inside of the image.
So for now, let's remove this node modules folder.
A bit later, we will reinstall all dependencies in our local folder here on our computers.
So let me remove Node Modules folder by entering command r m this r f node modules.
If you want, you could go to Visual Studio Cold and removed their.
All right.
Modern Windows folder was removed.
And now let's start build Broaddus Docker build dot started.
Docker file was found and Bill Définition was lauded for it.
And here you see first step from Docker and then this step we pull node image from the Docker hub with
corresponding tech 15.4.
In this Alpine is usually.
This image consists of multiple layers, for instance, this layer or this layer.
Let's wait a bit until those layers are downloaded.
All of the downloaded and no doctor extracts contents of those layers he used to extract in the logs
of the world's working directory was created at the step number two packaged, adjacent and packaged
to slow digesting the files where corporate at step number three and now bulk around npm.
Install this desk style and command at the step number from.
And notice that we don't see any output from npm because we added this silent option here.
Let's wait a bit.
Finally, npm installed old dependencies and the step number five, all our main complication, the
files were copied to destination working directory and no Docker is exporting results to the image,
yet experts actually old those labels that were created on each separate build step.
And finally, Docker image with such success was created.
And if I at least Docker images now, I should see such image with such image ID.
But now this image doesn't have any repository name and the Nortec this way.
Let's quickly now attribute such image by EdTech Images Gallery the front end.
Similarly, as we did for API image, let's do that Docker Build Dot DSD that stands for tech and here
lets type images gallery front end.
Like that?
Let's rebuild.
Now it will go much faster because all layers will be used from cars, for instance, here you see cast
or hero.
And just in the several seconds, namely 2.5 seconds build process was finished.
And now if I released images again, Docker images, oil syrup was drew name images, gallery front
and along with the latest near sage image I.D..
Right now, we are able to use the image gallery front and image in order to run Docker container that
will actually run all or react front and application.
And let's look after the small box.