Compute.NET | .NET bindings for native numerical computing | Math library

What is the current "standard" way to create a gcp compute client in python? I have seen both:

While Google composer private environment creation in service project, I am trying to use subnet from host project. I have given editor role to composer service account as well as to composer APIs service agent account to fix permission issues. Still I am getting below error. Is it firewall issue? What firewall settings we need here?

Environment couldn't be created, but no error was surfaced.

I think is something that I miss theoretically from the passing by reference topic but I can't find a way to read the ID without using the support networkInterfaceReference

When attempting to create a GKE cluster via gcloud, web console, or pulumi I'm receiving the error: Google Compute Engine: Required 'compute.networks.get.

The permission for this account have Owner, Editor, and Compute Admin. Testing for compute.networks.get using the troubleshooter also shows that it is good.

Not sure why this is happening. It seemed to have been working fine the day before.

Thanks in advance.

Edit: I can also run gcloud compute regions describe us-east1 --project=myproj as well as the list command without issue so something is not adding up.

Edit 2: Full error is:

googleapi: Error 403: Retry budget exhausted (5 attempts): Google Compute Engine: Required 'compute.regions.get' permission for 'projects/myproj/regions/us-central1'., forbidden

I have created my organisation infrastructure in GCP following the Cloud Foundation Toolkit using the Terraform modules provided by Google.

The following table list the IP ranges for all environments:

Now I am in the process of deploying my application that consists of basically Cloud Run services and a Cloud SQL (Postgres) instance. The Cloud SQL instance was created with a private IP from the "unallocated" IP range that is reserved for peered services (such as Cloud SQL).

In order to establish connectivity between Cloud Run and Cloud SQL, I have also created the Serverless VPC Connector (ip range 10.1.0.16/28) and configured the Cloud SQL proxy.

When I try to connect to the database from the Cloud Run service I get this error after ~10s:

CloudSQL connection failed. Please see https://cloud.google.com/sql/docs/mysql/connect-run for additional details: Post "https://www.googleapis.com/sql/v1beta4/projects/[my-project]/instances/platform-db/createEphemeral?alt=json&prettyPrint=false": context deadline exceeded

I have granted roles/vpcaccess.user for both the default Cloud Run SA and the one used by the application in the host project.

I have granted roles/compute.networkUser for both SAs in the service project. I also granted roles/cloudsql.client for both SAs.

I have enabled servicenetworking.googleapis.com and vpcaccess.googleapis.com in the service project.

I have run out of ideas and I can't figure out what the issue is.

It seems like a timeout error when Cloud Run tries to create a POST request to the Cloud SQL API. So it seems like the VPC connector (10.1.0.16/28) cannot connect to the Cloud SQL instance (10.0.80.0/20).

Has anyone experienced this issue before?

Trying to create a serverless VPC connection but always getting the same error

ERROR: (gcloud.compute.networks.vpc-access.connectors.create) { "code": 13, "message": "An internal error occurred: Failed to create a VPC Access connector. Please delete the connector }

Have tried the following

1. Reference Link: Serverless VPC Access
2. Tried all steps in Troubleshooting - mentioned at the bottom of the above page
3. Tried various IP ranges like 10.8.0.0, 10.128.0.0, 10.160.0.0 - no use
4. Created a new project and tried to create the access there, same result
5. Works if I change the region to us-central1 (instead of asia-south1). See below

I'm writing my ssh config file and want to send agents with selected keys. No keys are to leave my local machine and the sent agents may only have the necessary keys. All keys require passwords. I don't want to type password multiple times in sequence, e.g. when accessing server, but don't mind entering it again whenever I access a machine. The following shows how I want to connect to the different servers:

I have a dump of IAM Policies and I want to add a new member to all of them. The problem is that each resource has its own API for setting IAM policies, and so I would need to handle each type of resource individually. So much toil. I want a generic "IAM API" that takes a resource & policy as inputs, and creates the binding. Is such a thing possible?

For reference, the format for my policy dump is:

This is related to the following questions, which are outdated

• Possible to get static IP address for Google Cloud Functions?
• Google Cloud - Egress IP / NAT / Proxy for google cloud functions

Currently GCP has VPC Serverless Connector that allows you to route all traffic through a VPC Connector and set up Cloud NAT to get static IP addresses.

I have followed the following guide https://cloud.google.com/functions/docs/networking/network-settings#associate-static-ip using the region us-east4 but external requests from my cloud function always timed out.

I'm not sure this is a bug or I have missed something.

Edit: To make sure I have followed everything, I did all the steps using gcloud, command where possible. These commands are copied from the guides from GCP.

1. Setting project id for future use