Skip to content

README.md

Latest commit

 

History

History
44 lines (28 loc) · 1.81 KB

README.md

File metadata and controls

44 lines (28 loc) · 1.81 KB

Cloud Monitoring Sample

list_resources.js is a command-line program to demonstrate connecting to the Google Monitoring API to retrieve API data.

create_custom_metric.js demonstrates how to create a custom metric, write a timeseries value to it, and read it back.

Run locally

Create local credentials by running the following command and following the oauth2 flow:

gcloud beta auth application-default login

Then to run:

npm install
node list_resources.js <YOUR-PROJECT-ID>
node create_custom_metric.js <YOUR-PROJECT-ID>

Running on GCE, GAE, or other environments

On Google App Engine, the credentials should be found automatically.

On Google Compute Engine, the credentials should be found automatically, but require that you create the instance with the correct scopes.

gcloud compute instances create --scopes="https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/compute,https://www.googleapis.com/auth/compute.readonly" test-instance

If you did not create the instance with the right scopes, you can still upload a JSON service account and set GOOGLE_APPLICATION_CREDENTIALS as described below.

Using a Service Account

In non-Google Cloud environments, GCE instances created without the correct scopes, or local workstations if the gcloud beta auth application-default login command fails, use a Service Account by doing the following:

  • Go to API Manager -> Credentials

  • Click 'New Credentials', and create a Service Account or click here

  • Download the JSON for this service account, and set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to the file containing the JSON credentials.

    export GOOGLE_APPLICATION_CREDENTIALS=~/Downloads/-0123456789abcdef.json