Homepage: https://github.com/odin-public/gcpmetrics
The Google Monitoring API v3 gives you access to over 900 Stackdriver Monitoring metrics from Google Cloud Platform and Amazon Web Services. You can create your own custom metrics and can organize your cloud resources using groups.
More information: https://cloud.google.com/monitoring/api/v3/
This tool provides a simple command-line interface to query Google Monitoring API v3. This is handy when integrating with warious monitoring tools, like Zabbix (http://www.zabbix.com/) or Nagios (https://www.nagios.org/).
You can install this tool simply by running
$ pip install --upgrade gcpmetrics
You need to be authenticated with Google Cloud API to run this tool. Two ways of authentication are supported: (a) interactive login and (b) service account token.
If you're developing locally, the easiest way to authenticate is using the Google Cloud SDK:
$ gcloud auth login
If you're running your application elsewhere, you should download a service account JSON keyfile and point to it using --keyfile parameter.
$ gcpmetrics --keyfile ./keyfile.json [...]
More details on authentication with gcloud: http://googlecloudplatform.github.io/gcloud-python/stable/gcloud-auth.html
The project ID is a unique identifier for a Google Cloud Platform project and is used only within the console. A project ID cannot be changed after the project is created. You need to identify your project ID with the --project parameter
$ gcpmetrics --project my-unique-project-id [...]
More details on how to locate your project ID: https://support.google.com/cloud/answer/6158840
A monitored resource represents a cloud entity that originates some monitoring data or is the subject of it. You can list all monitored resources visible to you at the moment by running the following command:
$ gcpmetrics --keyfile ./keyfile.json --project my-unique-project-id --list-resources
Monitored resource descriptors:
Resource descriptor #1
name: projects/my-unique-project-id/monitoredResourceDescriptors/api
type: api
[...]
More details on monitored resources: https://cloud.google.com/monitoring/api/v3/metrics#intro-resources
A MetricDescriptor defines a metric type and its dimensions and could be listed as shown in the following example:
$ gcpmetrics --keyfile ./keyfile.json --project my-unique-project-id --list-metrics
Defined metric descriptors:
Metric descriptor #1
name: projects/my-unique-project-id/metricDescriptors/agent.googleapis.com/agent/api_request_count
type: agent.googleapis.com/agent/api_request_count
metric_kind: CUMULATIVE
value_type: INT64
unit: 1
display_name: API Request Count
description: API request count
[...]
More details on metrics: https://cloud.google.com/monitoring/api/v3/metrics#metric-descriptor
An example of simple query to retrieve on of standard metrics (see https://cloud.google.com/monitoring/api/metrics) identified as "appengine.googleapis.com/system/cpu/usage" would look like the following:
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--query --days 2 \
--metric appengine.googleapis.com/system/cpu/usage
QUERY: metric.type = "appengine.googleapis.com/system/cpu/usage"
resource_type gae_app
project_id my-unique-project-id
module_id default
version_id 1
source api runtime
2016-08-30 13:35:52.268 0.0 0.0
...
2016-09-01 13:32:52.268 0.0 18.0
[2825 rows x 4 columns]
Note that time period is required and in the above example it was specified as 2 days (from 'now').
Let's say we want to calculate the total value of the same counter used in the above example. The query would look like the following:
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--query --days 2 \
--metric appengine.googleapis.com/system/cpu/usage \
--reduce REDUCE_SUM \
--align ALIGN_SUM
ALIGN: ALIGN_SUM seconds: 172800.0
REDUCE: REDUCE_SUM grouping: None
QUERY: metric.type = "appengine.googleapis.com/system/cpu/usage"
resource_type gae_app
project_id my-unique-project-id
2016-09-01 13:40:00 45809
Supported --align parameters:
- ALIGN_NONE
- ALIGN_DELTA
- ALIGN_RATE
- ALIGN_INTERPOLATE
- ALIGN_NEXT_OLDER
- ALIGN_MIN
- ALIGN_MAX
- ALIGN_MEAN
- ALIGN_COUNT
- ALIGN_SUM
- ALIGN_STDDEV
- ALIGN_COUNT_TRUE
- ALIGN_FRACTION_TRUE
Supported --reduce parameters:
- REDUCE_NONE
- REDUCE_MEAN
- REDUCE_MIN
- REDUCE_MAX
- REDUCE_SUM
- REDUCE_STDDEV
- REDUCE_COUNT
- REDUCE_COUNT_TRUE
- REDUCE_FRACTION_TRUE
- REDUCE_PERCENTILE_99
- REDUCE_PERCENTILE_95
- REDUCE_PERCENTILE_50
- REDUCE_PERCENTILE_05
In certain cases (like integration into systems like Zabbix) you only need the resulting value to be printed to the standard output. To do that, just append --iloc00 as shown below:
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--query --days 2 \
--metric appengine.googleapis.com/system/cpu/usage \
--reduce REDUCE_SUM \
--align ALIGN_SUM \
--iloc00
45809
Note that 'iloc' stands for "integer location" of the pandas library (http://pandas.pydata.org/) and refers to the index [0:0] of the returned table. Thus will only work with aggregated values.
Let's say you want to calculate total number of 5xx responses in a given period of time. The coutner responsible for that is called "appengine.googleapis.com/http/server/response_count", but you need to apply filter (500 <= code) && (code < 600). You can do that with the following command:
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--query --days 2 \
--metric appengine.googleapis.com/http/server/response_count \
--metric-filter \
response_code_greaterequal:500,response_code_less:600
QUERY: metric.type = "appengine.googleapis.com/http/server/response_count" \
AND metric.label.response_code < 600 \
AND metric.label.response_code >= 500
resource_type gae_app
project_id my-unique-project-id
module_id default service2
version_id 1 0-1-dev159
loading false true false
response_code 500 500 501
2016-08-30 15:13:34.577 NaN 1.0 NaN
2016-08-30 15:14:34.577 2.0 0.0 NaN
2016-08-30 15:15:34.577 0.0 0.0 NaN
[...]
The following operations are supported
'{key}_prefix:{value}'becomes'{key} = starts_with("{value}")''{key}_suffix:{value}'becomes'{key} = ends_with("{value}")''{key}_greater:{value}'becomes'{key} > {value}''{key}_greaterequal:{value}'becomes'{key} >= {value}''{key}_less:{value}'becomes'{key} < {value}''{key}_lessequal:{value}'becomes'{key} <= {value}'
More on filters: https://cloud.google.com/monitoring/api/v3/filters
In case you need to filter based on resource attributes, you might want to use --resource-filter directly, or refer to the particularly often used filter of resource.label.module_id = "{value}" with --service as shown in the below example:
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--query --days 2 \
--metric appengine.googleapis.com/http/server/response_count \
--metric-filter \
response_code_greaterequal:500,response_code_less:600 \
QUERY: metric.type = "appengine.googleapis.com/http/server/response_count" \
AND resource.label.module_id = "default" \
AND metric.label.response_code < 600 \
AND metric.label.response_code >= 500
resource_type gae_app
project_id my-unique-project-id
module_id default
version_id 1
loading false true
response_code 500 500
2016-08-30 15:13:34.577 NaN 1.0
2016-08-30 15:14:34.577 2.0 0.0
2016-08-30 15:15:34.577 0.0 0.0
[...]
Note that only service 'default' data was returned this time. More on filters: https://cloud.google.com/monitoring/api/v3/filters
When monitoring multiple metrics across multuple projects it is handy to have command line parameters predefined (instead of writing the whole set of parameters every time). This could be achieved with configuration files.
You can init your own configuration by running the following command:
$ gcpmetrics --init-config ./folder
Creating folder: ./folder
Creating configuration file: ./folder/config.yaml
Creating (empty) key file: ./folder/keyfile.json
Configuration created, use '--config ./folder' to reference it.
The configuration file looks like the below:
$ cat ./folder/config.yaml
keyfile: ./keyfile.json
project: my-unique-project-id
service: default
http_response_5xx_sum:
query: true
infinite: true
metric: 'appengine.googleapis.com/http/server/response_count'
metric_filter: 'response_code_greaterequal:500,response_code_less:600'
align: 'ALIGN_SUM'
reduce: 'REDUCE_SUM'
iloc00: True
which is a yaml file containing the same command line parameters as the tool itself. By referencing this file, tool will pickup parameters defined in it, i.e.
$ gcpmetrics --config ./folder/config.yaml
will be interpreted as
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--service default
based on the configuration file defined above.
It is also possible to refer to the configuration presets defined in the configuraiton file. Based on the example configuration file below, where "http_response_5xx_sum" is defined, it is possible to run the following command:
$ gcpmetrics --init-config ./folder --preset http_response_5xx_sum
which will be interpreted as
$ gcpmetrics --keyfile ./keyfile.json \
--project my-unique-project-id \
--service default \
--query: true \
--infinite: true \
--metric: appengine.googleapis.com/http/server/response_count \
--metric_filter response_code_greaterequal:500,response_code_less:600 \
--align ALIGN_SUM \
--reduce REDUCE_SUM \
--iloc00 True
$ gcpmetrics --help
usage: gcpmetrics [-h] [--version] [--init-config DIR] [--config FILE]
[--keyfile FILE] [--preset ID] [--project ID]
[--list-resources] [--list-metrics] [--query] [--service ID]
[--metric ID] [--infinite] [--days INT] [--hours INT]
[--minutes INT] [--resource-filter S] [--metric-filter S]
[--align A] [--reduce R] [--reduce-grouping R] [--iloc00]
Google Cloud Monitoring API Command Line
Website: https://github.com/odin-public/gcpmetrics
optional arguments:
-h, --help show this help message and exit
--version Print gcpmetics version and exit.
--init-config DIR Location of configuration files.
--config FILE Local configuration *.yaml file to be used.
--keyfile FILE Goolge Cloud Platform service account key file.
--preset ID Preset ID, like http_response_5xx_sum, etc.
--project ID Project ID.
--list-resources List monitored resource descriptors and exit.
--list-metrics List available metric descriptors and exit.
--query Run the time series query.
--service ID Service ID.
--metric ID Metric ID as defined by Google Monitoring API.
--infinite Calculate time delta since the dawn of time.
--days INT Days from now to calculate the query start date.
--hours INT Hours from now to calculate the query start date.
--minutes INT Minutes from now to calculate the query start date.
--resource-filter S Filter of resources in the var:val[,var:val] format.
--metric-filter S Filter of metrics in the var:val[,var:val] format.
--align A Alignment of data ALIGN_NONE, ALIGN_SUM. etc.
--reduce R Reduce of data REDUCE_NONE, REDUCE_SUM, etc.
--reduce-grouping R Reduce grouping in the var1[,var2] format.
--iloc00 Print value from the table index [0:0] only.