not sure if this has been asked before though I couldn't find it. I am using GCP services such as app engine, secret manager and storage but am using the Cloud Shell editor. Though I like it, I prefer coding on VScode due to familiarity. Any help on how could I achieve this on my VS code terminal?
#Sachin - We have support for all the features that are available in Cloud Shell in the local VSCode IDE through the cloud code plugin. Here is where you want to get started.
Quick start & Install
Plugin on VSCode Marketplace
Related
I know that with R you can run RStudio as a browser instance directly from a server/cloud instance, so you access the IDE via browser, and that IDE has access to files/data available on that instance (similar to what Jupyterlab does).
Similarly i wonder if there is a way to run VSCode (or some other full feature IDE) as a browser instance on something like a google dataproc, so instead of using Jupyter to run code and access data, you would use the IDE.
I realize there are ways to run a local instance of an IDE and connect to a server/cloud instance, but in some cases these connections are blocked by firewalls and you have no way of running code on the instance other than via browser/jupyter, so i was wondering if there was some other way to do this.
As #guillaume blaquiere suggested :
Cloud Workstation is the brand new feature is designed for that
Fully managed development environments built to meet the needs of security-sensitive enterprises. It enhances the security of development environments while accelerating developer onboarding and productivity.
Access secure and fast development environments anytime via browser or local IDE
Enable administrators to easily provision, scale, manage, and secure development environments
Customize development environments with your preferred IDE and through custom container images
I am doing my development using a Chromebook and wondered if it is possible to develop SPAs using Flutter using an online IDE such as Cloud9 or Codio?
I have managed to install flutter and run it to install dart but am getting stuck as it can't find a Chrome installation.
Is it possible to develop using the cloud IDE and use by local install of Chrome for testing?
You can also check flutlab.io. It's working on Chromebook (Flutter IDE and even Figma integration). Proof: https://www.youtube.com/watch?v=dQ0ATecs7Fo
Currently, the only closer web approaches are:
DartPad
CodePen
Codespaces
Codespaces being a full VS Code which is currently on Beta Access which will allow the same coding possibilities as the desktop one.
Link: https://github.com/features/codespaces
Alternatively (to CodeSpaces, at least); GitPod has a pretty serviceable free tier to build a testing workspace. They actually have a Github template you can fork, then create a workspace from:
https://www.gitpod.io/docs/quickstart/flutter
Another nicety is the stack is open source as of last year.
I would like to run desktop applications (for debug and research purposes) on a Google Colab notebook.
Is that possible?
Check GNU Colab.
With it you can easily have a whole persistent desktop environment running on top of a Colaboratory VM instance.
Here's a video demonstration.
I'm doing Udacity's Web Development course. I've heard some users talk about Eclipse, but I'd rather have a basic understanding of the command line than move on to that higher level software.
Is there anything on a Mac that I can't do in Terminal that I could on Google App Engine Launcher?
Thank you.
The gcloud commands from the Cloud SDK provide much more control over your experience. The App Engine Launcher actually causes more problems than it helps with. In the long run, you're much better off with gcloud.
If you wanted to use an IDE, there are new plugins for Eclipse and IntelliJ. If you wanted to keep debugging simple, you could just use the command-line PDB debugger.
Can Jupyter Console be used with Google Cloud Datalab as a replacement for the javascript frontend?
It will be possible very soon to use Datalab with the Jupyter notebook. We have no plans to support Jupyter Console directly, but parts of Datalab should work.
Seems to me that one could use the Google Cloud Shell for the functionality you may be looking for? Located on the upper right of the Google Cloud Platform control page?