cloud-platform | Documentation on the MoJ cloud platform

Wanted to call out one GCP api from my python code, following is that method -

Since some time around March 4, suddenly I have not been able to create a Cloud TPU node.

When I attempt to create a TPU node/VM via GUI, it crashes upon choosing TPU type with any region. I get tons of JS errors in the console:

I am following this tutorial,

I installed Docker and WSL2(Ubuntu 20.04.4 LTS) on my windows system, as shown in image below,

When i am trying to run Laravel project using command,

To preface I'm fairly new to Docker, Airflow & Stackoverflow.

I've got an instance of Airflow running in Docker on an Ubuntu (20.04.3) VM.

I'm trying to get Openpyxl installed on build in order to use it as the engine for pd.read_excel.

Here's the Dockerfile with the install command:

For some reason, I can't use the Flutterfire CLI to configure an ios app on firebase. I've done this before but this time I'm gettings this error

I am having some trouble combining two requirements that were communicated to me.

The initial requirement I had was to handle exceptions in the GCP Cloud Function I had created to insert JSON data into BigQuery. The basic logic was as follows:

I'm creating a Dataproc cluster, and it is timing out when i'm adding the connectors.sh in the initialization actions.

here is the command & error

I'll premise that I've already googled and read the documentation before writing, I've noticed that it's a popular discussion here on StackOverflow as well, but none of the answers already given have helped me.

I created a Google Cloud account to use the API: Google Vision.

To do this I followed the steps of creating the project, adding the above API and finally creating a service account with a key.

I downloaded the key and put it in a folder in the java project on the PC.

Then, since it is a maven project I added the dependencies to the pom as described in the tutorials.

At this point I inserted the suggested piece of code to start using the API.

Everything seemed to be OK, everything was read, the various libraries/interfaces were imported.

But an error came up as soon as I tried to run the program:

The Application Default Credentials are not available. They are available if running in Google Compute Engine. Otherwise, the environment variable GOOGLE_APPLICATION_CREDENTIALS must be defined pointing to a file defining the credentials.

I must admit I didn't know what 'Google Compute Engine' was, but since there was an alternative and I had some credentials, I wanted to try and follow that.

So I follow the instructions:

After creating your service account, you need to download the service account key to your machine(s) where your application runs. You can either use the GOOGLE_APPLICATION_CREDENTIALS environment variable or write code to pass the service account key to the client library.

OK, I tried the first way, to pass the credentials via environment variable:

• With powershell -> no response

I spent 4 days already testing all configurations from kubernetes terraform gcp module and I can't see the metrics of my workloads, It never shows me CPU nor Memory (and even the standard default created kubernetes in the GUI has this activated.

Here's my code: