This page describes some of the features of the Cloud Monitoring API v3.
For the API reference documentation, see either of the following pages:
Project names in the Monitoring API
All of the methods in the Monitoring API have a required
parameter. This parameter typically has a description like the following:
Required. The project on which to execute the request. The format is:
In the Monitoring API, the value of
identifies one of the following:
- A Google Cloud project
- A Google Cloud project that is also a scoping project of a metrics scope
Some methods in the Monitoring API require the project to be a scoping project of a metrics scope; others methods do not. A small number of methods can return different results, depending on the type of project.
To describe these classes of methods, this discussion uses the term metrics API to refer to the following resources in the Monitoring API:
scoping project of a metrics scope required
All Monitoring API methods that are not part of the metrics API
name parameter to refer to a scoping project of a metrics scope.
scoping project of a metrics scope not required
None of the methods in the metrics API require the
name parameter to refer
to a scoping project of a metrics scope, but some methods behave differently when
The following methods in the metrics API operate on the named Google Cloud project. These methods affect data only in the named project, regardless of whether the project is also a scoping project of a metrics scope.
The remaining methods in the metrics API behave as follows:
- If the named project is not a scoping project of a metrics scope, then the methods retrieve data only from the named project.
- If the named project is also a scoping project of a metrics scope, then the methods retrieve data from both the named project and any projects it monitors.
The methods in this group are the following:
For information on setting up a Google Cloud project as a scoping project of a metrics scope, see Configuring your project for Monitoring.
The Monitoring API gives you access to over 1,500 Cloud Monitoring metrics from Google Cloud and Amazon Web Services. You can create your own custom metrics and can organize your cloud resources using groups.
For an introduction to metric concepts and the data structures that represent them, see Metrics, time series, and resources.
To learn how to manage your custom metrics and the built-in metrics, see User-defined metrics overview.
For a complete list of available metrics, see Metrics list.
A monitored resource is something about which metrics are collected. For example, you might be interested in the activity of a VM instance or a piece of hardware.
For a list of the available monitored resources, see the Monitored resource list.
A group is a dynamic collection of monitored resources. You have always been able to create groups manually in the Google Cloud console, and you can also use the Cloud Monitoring API to write code that creates and uses groups.
For more information, see the API reference for
An alerting policy is a configuration resource that describes the
criteria for generating incidents and how to notify you when those incidents
are created. Alerting concepts explains the basic concepts
of alerting policies. For more information, see the API reference for
The API also lets you create alerting policies based on a ratio of two metrics.
Ratios cannot currently be created by using Monitoring in
the Google Cloud console.
For more information, see
MetricThreshold in the
A notification channel is a configuration resource that describes how to notify you when incidents occur. Notification channels can reference a variety of different kinds of communication services and endpoints; these are specified in descriptors. The descriptors determine the set of configuration parameters that are included in a channel object.
The service monitoring resources are used to set up service-level objectives that can be used to monitor the health of your services.
Service Monitoring adds the following resources to the Monitoring API:
For more information about these service-monitoring concepts and about using the API, see SLO monitoring.
You can programmatically create and manipulate both dashboards and charts
Dashboards endpoint. For information on using
this endpoint to manage dashboards and charts, see
Managing dashboards by API.
Monitoring Query Language
Monitoring Query Language (MQL) provides a text-based interface for querying Cloud Monitoring time-series data. MQL uses a piped-query model and is more expressive than Monitoring filters. You can use MQL queries from the Monitoring API or from the code editor.
For general information on MQL, see Using Monitoring Query Language.
For information on using MQL to retrieve time-series data by using
the Monitoring API, see the API reference for the
For more information on creating dashboards with MQL-based charts
by using the Monitoring API, see the API reference for the
TimeSeriesQuery object. This object provides
the mechanism for retrieving the data set for a chart or scorecard.
The Monitoring API uses filters to select metrics, to fetch time-series data, and to collect monitored resources into groups. For more information, see Monitoring filters.
The Monitoring API also uses filters to restrict the result set of
list operations. See
Sorting and filtering for details
on managing the results of the
See the introduction to Metrics, time series, and resources.
See the introduction to Using alerting policies.
See how to call API methods from the APIs Explorer.
See how to use the text-based Monitoring Query Language for querying time-series data.
See the client libraries for Cloud Monitoring to get started with Cloud Monitoring in your language of choice.