Boost Your Productivity: PyCharm Pro, Google Cloud Code, and Kubernetes

In this tutorial, we will walk you through how to use PyCharm and Cloud Code to enhance and optimize your developer productivity.
Introduction - 0:00 - 3:12
Installing SDK & Cloud Code Plugin - 3:12 - 6:52
Project Setup - 6:53 - 12:55
Writing APIs using DRF - 12:56 - 25:45
Setting up Google Kubernetes Engine - 25:46 - 33:24
Running Apps in GKE - 33:25 - 45:16
Cloud Domains - 45:16 - 48:15
Ingress, ManagedCertificate & Frontend Config - 48:15 - 51:33
Deploying App - 52:15 - 54:36
Bonus: Cloud Run - 54:47 - 58:20
Links:
Download PyCharm: jb.gg/u8syo9
Here are some of the benefits of using PyCharm and Cloud Code:
Increased productivity: Cloud Code can help you to save time and effort by automating many of the tasks involved in developing and deploying Python applications to the Google Cloud Platform.
Improved developer workflow: Cloud Code can help you to improve your developer workflow by providing seamless integration between PyCharm and Google Cloud Platform.
Enhanced debugging capabilities: Cloud Code can help you to debug your Python applications more effectively by providing a variety of debugging tools and features.
If you are a Python developer who wants to improve your developer productivity, then you should definitely check out PyCharm and Cloud Code.
You can find a text version of this tutorial at the following URL: www.jetbrains.com/pycharm/gui...
Want to connect to a remote machine running a JetBrains IDE backend from anywhere in the world?
Check out our Remote Development toolset and learn how to effortlessly work on your projects from any device.
Visit www.jetbrains.com/remote-deve... to learn more.
Links:
- Home page: www.jetbrains.com/pycharm/
- Download: www.jetbrains.com/pycharm/dow...
- Learning Center: www.jetbrains.com/pycharm/learn/
- Twitter: / pycharm
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