google-cloud | A collection of Google Cloud Platform plugins | GCP library

I am trying to get a Cloud Function to create a Cloud Task that will invoke a Cloud Function. Easy.

The flow and use case are very close to the official tutorial here.

I also looked at this article by Doug Stevenson and in particular its security section.

No luck, I am consistently getting a 16 (UNAUTHENTICATED) error in Cloud Task.

If I can trust what I see in the console it seems that Cloud Task is not attaching the OIDC token to the request:

Yet, in my code I do have the oidcToken object:

I searched a lot how to authenticate/authorize Google's client libraries and it seems no one agrees how to do it.

Some people states that I should create a service account, create a key out from it and give that key to each developer that wants to act as this service account. I hate this solution because it leaks the identity of the service account to multiple person.

Others mentioned that you simply log in with the Cloud SDK and ADC (Application Default Credentials) by doing:

With the upgrade to Google Cloud SDK 360.0.0-0 i started seeing the following error when running the dev_appserver.py command for my Python 2.7 App Engine project.

• standard dataproc image 2.0
• Ubuntu 18.04 LTS
• Hadoop 3.2
• Spark 3.1

I am testing to run a very simple script on dataproc pyspark cluster:

testing_dep.py

I have a TypeScript project that has been deployed several times without any problems to Google App Engine, Standard environment, running Node 10. However, when I try to update the App Engine project to either Node 12 or 14 (by editing the engines.node value in package.json and the runtime value in app.yaml), the deploy fails, printing the following to the console:

I am following this article ,for submit a job to an existing Dataproc cluster via a Dataproc API

For the following line of code :

We are using command prompt c:\gcloud app deploy app.yaml, but get the following error:

I am trying to fix this problem for hours. I've read nearly every post about this, but still, I came to no solution.

I am trying to deploy a firebase-function with the "https got-library" dependency, but no matter what I do, nothing works. I am not the best with node-js or typescript (usually a kotlin frontend-dev), so I have no clue what the error wants from me.

I'm struggling to correctly set Vertex AI pipeline which does the following:

1. read data from API and store to GCS and as as input for batch prediction.
2. get an existing model (Video classification on Vertex AI)
3. create Batch prediction job with input from point 1.
   As it will be seen, I don't have much experience with Vertex Pipelines/Kubeflow thus I'm asking for help/advice, hope it's just some beginner mistake. this is the gist of the code I'm using as pipeline