Metric types in Cloud Monitoring are classified into general groups, based on the type of service that collects the data. This page provides links to reference lists for each of these groups.
Metrics for Google Cloud services:
Google Cloud metrics, for Google Cloud services such as Compute Engine and BigQuery.
Kubernetes metrics, for Google Kubernetes Engine (GKE).
Istio metrics, for Istio on Google Kubernetes Engine.
Anthos metrics, for Anthos GKE on-prem.
Metrics for Cloud Monitoring and Cloud Logging agents, Amazon Web Services, open-source, and third-party applications:
Agent metrics, for VM instances running the Monitoring and Logging agents.
AWS metrics, for Amazon Web Services such as Amazon Redshift and Amazon CloudFront.
Knative metrics, for Knative components.
External metrics, for open-source and third-party applications.
The metric-type lists are rebuilt frequently and time-stamped, so you know
how current they are. The information listed for each metric type comes from
the Monitoring API
object for each metric type. For more information on how metric
types are described, see Metrics, time series, and resources.
Each metric type has a launch stage that indicates its maturity. If specified, the launch stage appears as a colored superscript after the metric type: GA, BETA, ALPHA, EARLY_ACCESS, or DEPRECATED. If no superscript appears, then the launch stage is unspecified. For more information, see Product launch stages.
Metric types in the Alpha or Early Access launch stages might not appear in
the public lists of metrics. To get information about those metric types,
explicitly retrieve the set of metric descriptors from a Google Cloud
project that has been given permission to use the restricted metric types.
If you have permission to use restricted metric types, you can retrieve
the metric descriptors by using the
metricDescriptors.list method in the
See Listing metric descriptors for more information.
Additional information: metadata
The description for each metric type might include additional information, called metadata, about the metric. The metadata included in the description includes the following:
Sample Period: For metrics that are written periodically, this is the time interval between consecutive data points, excluding data loss due to errors. The period, if available, appears at the end of the description text in a sentence of the form “Sampled every x seconds.”
Ingest Delay: Data points older than this value are guaranteed to be available to be read, excluding data loss due to errors. The delay does not include any time spent waiting until the next sampling period. The delay, if available, appears at the end of the description text in a sentence of the form “After sampling, data is not visible for up to y seconds.”
For an introduction to the concepts and terminology used in the Cloud Monitoring metric model, see Metrics, time series, and resources.
To quickly see graphs of metric data, use the Metrics Explorer. For information on using this tool, see Metrics Explorer.