Creating a new project in PyCharm
Initiating Projects with PyCharm's New Project Creation
Creating a new project
To create a new project, first click on New Project.
You’ll then see three new options appear on the menu bar on the left-hand side of the window.
You can run your project in Cloud Run, which is a serverless method for running Kubernetes in Google Cloud, or you can choose the standard Kubernetes option, which allows you to run your code locally or in a remote GKE cluster.
The Cloud Code plugin has already created some sample code in Django and Flask. In this section, we’ll be exploring the sample Django application.
However, if you’d like to maintain your own custom projects, then follow the official documentation provided by Google, which contains a detailed step-by-step guide.
Now, let’s go ahead and create a new project by loading Python (Django): Hello World as our base sample.
In the interest of simplicity, I’ll name the project “helloworld”.
Once you click Create, PyCharm will start cloning the project.
As you can see in the image below, the README file is opened by default.
The image below shows the sample project structure created by the Cloud Code plugin.
skaffold.yaml is the schema file containing the Skaffold configurations.
kubernetes-manifests contains Kubernetes YAML files.
src contains the Django source code.
In this image, the center of attention is the
Skaffold is a tool that handles the workflow for building, pushing, and deploying your application. You can use it to easily configure a local development workspace, streamline your inner development loop, and integrate with other tools such as Kustomize and Helm to help manage your Kubernetes manifests.
Skaffold simplifies common operational tasks that you perform when developing with Kubernetes, letting you focus on your code changes and allowing you to see them rapidly reflected in your cluster. It's the underlying engine that drives Cloud Code and a powerful tool for improving developer productivity in and of itself.
Since Skaffold is a part of Cloud Code, you can easily manage it from right in the IDE itself.
Returning to the
skaffold.yaml file, there are two major operations happening here.
If you observe line 5, Skaffold is about to perform a build operation by creating a Docker image. It is
therefore going to look for the Dockerfile, which resides under the
src directory as specified in the context section on line 10.
Skaffold’s support goes well beyond Dockerfiles and also includes:
- Jib Maven
- Custom scripts
- Cloud Native Buildpacks
The good news is that you can build your Docker image using a locally installed version of Docker or you can execute the same operation in Google Cloud Build, depending on your needs.
Now, moving ahead. If you look at line 13, the deploy section is going to apply the Kubernetes manifest files,
which reside in the
Just as is the case with the build operation, you can have multiple deployers.
We’ve used kubectl, but you can go ahead and use the Helm deployer if you prefer.
I highly recommend following the instructions in the official documentation.
hello.deployment.yaml file is going to run the application with one replica running at port 8080.
hello.service.yml file is going to expose the deployment using a load balancer with the target port 8080.
Now, let’s move ahead and have a glance at the Edit Configurations dialog.
The current deployment context is set to
docker-desktop. The application will therefore be deployed in a local cluster.
You can also look at Watch mode, where there are two options.
- On demand
- On file save
We’ll choose On file save in order to build and run the application whenever there is a change in the
In Advanced Settings, you can customize the
kubeconfig location, set the environment variables, and specify the resource deletion timeout, which is set to two minutes by default.
You can also fine-tune the logging verbosity by changing the setting according to your needs.
Build / Deploy will look for the
skaffold.yaml configuration. This will then take instructions from the YAML file to perform further processing, such as building images and deploying the K8s manifests.
Returning to the topic of build features, you can select these according to your individual requirements. For the purposes of this demonstration, we’ll build it locally in Docker Desktop.
With this, the Edit Configuration step is complete. All that’s left to do is to click on Apply and then OK.
Now, I am going to run the application by clicking on the Play icon.
You’ll now see in the console that the build process has been initiated. This will take a few seconds to complete.
As you can see, the build and deployment are complete and the port has been forwarded to the local host at port 4503.
Let’s quickly check how it works in the browser.
Success! The application is running properly and the default landing page is visible.
However, this is just the beginning. Let’s now go ahead and create a basic TODO REST application using the Django REST Framework.