Google Cloud Metrics Node.js CLI

This is a command line for interactive with google cloud platform - cloud monitoring api.

Installation

npm install gcmetric -g

Commands

Auth gcmetric command

In the auth flow, it needs service account for implement Oauth2.0 authentication. Here, we need to prepare the account email and the pem key for auth. And the project id also need to specify in the auth command.

gcmetric -t auth \
  -s 288173501788-9fh14iojjmehakjtgkhoubdiaguppn1h@developer.gserviceaccount.com \
  -k /Users/peihsinsu/.gcpkeys/mitac-cp300-taipei101/mitac-cp300-taipei101-8c0662095ef9.pem \
  -p mitac-cp300-taipei101

In the command, the parameters are:

• -s: the service account email
• -k: the service account pem key
• -p: the interactive project

Lightweight metric

Initial a lightweight metric

gcmetric -t init -n mymetric

• -n: the metric name

Write a lightweight metric

gcmetric -t simple -n mymetric -d 2000

• -n: the metric name
• -d: the metric data

Metric Descriptor - Simple id

Initial a metric with descriptor

gcmetric -t init -n mymetric2 -i firstid -d "test first id"

• -n: the metric name
• -i: the metric id
• -d: the description txt

Write a metric with descriptor

gcmetric -t labeled -n mymetric2 -d 1234

• -n: metric name
• -d: the data write to the metric

Metric Descriptor - Multiple id

Initial a multiple metric descriptor

You can create a multiple metric descriptor into a custom metric:

gcmetric -t init -n mymetric3 -j '[{
     "key": "custom.cloudmonitoring.googleapis.com/id1",
     "description": "This is ID1."
    },{
     "key": "custom.cloudmonitoring.googleapis.com/id2" ,
     "description": "This is ID2."
    }]'

In this case, you can write the id1 and id2 type of data into the metric: mymetric3.

Write data to multiple metric descriptor

Write data with specify the metric descriptor.

gcmetric -t labeled \
  -j '{"custom.cloudmonitoring.googleapis.com/id2":"id222"}' \
  -n mymetric3 \
  -d 1230

• -n: metric name
• -d: the metric value
• -j: the metric descriptor

Write customize metric data

You can also write your custom json data as input to cloud monitoring.

gcmetric -t custw \
  -j '{
  "timeseries":[
    {
      "timeseriesDesc":{
        "project":"mitac-cp300-taipei101",
        "metric":"custom.cloudmonitoring.googleapis.com/mymetric3",
        "labels":{
          "custom.cloudmonitoring.googleapis.com/id2":"id222"
        }
      },
      "point":{
        "start":"2015-06-23T11:31:23.781Z",
        "end":"2015-06-23T11:31:23.781Z",
        "doubleValue":"1230"
      }
    }
  ]
}'

In the write customize metric data sample, you can write more timeseries in the array in one request. It helps for the performance.

• -j: the json data that you want to input

Delete a metric

You can also delete the metric by using delete like:

gcmetric -t delete -p mitac-cp300-taipei101 -n mymetric

• -n: metric name
• -p: project name

Retrieve metric data

For some reason, you may need to retrieve the metric data from the project. You can use the following sample for retrieve the data from command line.

Get by metric

gcmetric -t get -p mitac-cp300-taipei101 -n mymetric

• -n: the metric name

You can also specify the youngest and oldest in the option json data for restrict the interval.

gcmetric -t get -p mitac-cp300-taipei101 -n mymetric -d '{"youngest":"2015-6-22 23:18","oldest":"2015-6-22 23:15"}'

• -n: the metric name
• -d: the options for restrict the data

Help Page

gcmetric -h

  Usage: gcmetric [options]

  Options:

    -h, --help                               output usage information
    -V, --version                            output the version number
    -p, --project <project>                  google cloud platform project id
    -s, --service_account <service_account>  service account email
    -k, --key <key>                          service account pem key
    -t, --type <type>                        auth | init | simple | labeled
    -n, --name <name>                        metric name
    -i, --id <id>                            metrics id
    -d, --data <data>                        metrics data value
    -j, --jsondata <jsondata>                metrics original json data
    -l, --loglevel <loglevel>                log level

API docs

• See API.md for using this API in code.

Hint

• If you input json data, please make sure the txt is json format.
• Auth keeps the config data in /tmp, you can find:
  • auth.cfg: the cache project and related setting.
  • gtoken.json: the Oauth2 token related information.