gcloud

Documentation on Google Cloud SDK https://cloud.google.com/sdk/docs/ directs one to run gcloud init after installing it. Is there a way to automate this step given that gcloud init is an interactive command? cherba One does not need to run gcloud init . Main goal is to make sure credentials are configured and perhaps the project property is set. If you have service-account credentials, gcloud can be configured and ready to go via the following: gcloud auth activate-service-account --key-file=credential_key.json gcloud config set project my-project For completeness gcloud init essentially runs

Okie dokie, I'm trying to get Google's Dialogflow python API working with Google App Engine, and I seem to be running into issues when I run the application. I have pip installed dialogflow to a lib folder and added the lib folder through the app.yaml file. I keep running into an error where it says that it can't find 'six.moves.' Very new to this (app engine in general), so please tell me if I have something setup wrong. I've read a few other threads with no luck. This won't work locally or deployed. below are my app.yaml file: runtime: python27 api_version: 1 threadsafe: true service: basic

I have a nodejs backend and a reactjs frontend. I am using the gcloud flex environment (app engine) and want to serve all the frontend files using a CDN. I would not want the requests to touch my nodejs server. I am unable to configure my projects app.yaml to do the same. I suspect that my requests are not being served from a CDN because if I comment the below line in my nodejs code, I can no longer access index.html . app.use('/', express.static(path.resolve('./frontend/dist'))); Below is the YAML file. handlers: - url: /(.*\.html) mime_type: text/html static_files: frontend/dist/\1 upload:

I depolyed an app with gcloud preview app deploy. Is there a way to download it to an other local machine? How can I get the files? I tried it via ssh with no success (can't access the docker dir) UPDATE: I found this: gcloud preview app modules download default --version 1 --output-dir=my_dir but it's not loading files Log Downloading module [default] to [my_dir/default] Fetching file list from server... |- Downloading [0] files... -| Currently, the best way to do this is to pull the files out of Docker. Put instance into self-managed mode, so that you can ssh into it: $ gcloud preview app

I need a service account that can access multiple projects, but I have not been able to find a way to do this at all. It seems that a service account is always bound to a project. Another option is to create a service account on the separate projects and then authenticate them using gcloud auth activate-service-account --key-file SOME_FILE.json , but the problem here is that it does not seem possible to automate the creation of service accounts. So the question is then: Is it possible to create a cross project service account or to automate the creation of a service accounts? Even better would

I recently updated my gcloud libraries from 118.0.0 to 132.0.0 and immediately remote_api_shell no longer worked. I went through a number of permutations of re-logging in, to set the application-default credentials through gcloud, and to use a service account and environment variable. All permutations failed with the same error message: Traceback (most recent call last): File "/Users/mbostwick/google-cloud-sdk/bin/remote_api_shell.py", line 133, in <module> run_file(__file__, globals()) File "/Users/mbostwick/google-cloud-sdk/bin/remote_api_shell.py", line 129, in run_file execfile(_PATHS

I am trying to execute a dataflow pipeline job which would execute one function on N entries at a time from datastore. In my case this function is sending batch of 100 entries to some REST service as payload. This means that I want to go through all entries from one datastore entity, and send 100 batched entries at once to some outside REST service. My current solution Read input from datastore Create as many keys as there are workers specified in pipeline options (1 worker = 1 key). Group by key, so that we get iterator as output (iterator input in step no.4) Programatically batch users in

I'm having a hard time copying files over to my Google Compute Engine. I am using an Ubuntu server on Google Compute Engine. I'm doing this from my OS X terminal and I am already authorized using gcloud . local:$ gcloud compute copy-files /Users/Bryan/Documents/Websites/gce/index.php example-instance:/var/www/html --zone us-central1-a Warning: Permanently added '<IP>' (RSA) to the list of known hosts. scp: /var/www/html/index.php: Permission denied ERROR: (gcloud.compute.copy-files) [/usr/bin/scp] exited with return code [1]. insert root@ before the instance name: local:$ gcloud compute copy