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Showing content from https://googleapis.dev/dotnet/Google.Apis.Monitoring.v3/latest/api/Google.Apis.Monitoring.v3.html below:

The "folders" collection of methods.

The "timeSeries" collection of methods.

Lists time series that match a filter.

A base abstract class for Monitoring requests.

The Monitoring Service.

Available OAuth 2.0 scopes for use with the Cloud Monitoring API.

Available OAuth 2.0 scope constants for use with the Cloud Monitoring API.

The "organizations" collection of methods.

The "timeSeries" collection of methods.

Lists time series that match a filter.

The "projects" collection of methods.

The "alertPolicies" collection of methods.

Creates a new alerting policy.Design your application to single-thread API calls that modify the state of alerting policies in a single project. This includes calls to CreateAlertPolicy, DeleteAlertPolicy and UpdateAlertPolicy.

Deletes an alerting policy.Design your application to single-thread API calls that modify the state of alerting policies in a single project. This includes calls to CreateAlertPolicy, DeleteAlertPolicy and UpdateAlertPolicy.

Gets a single alerting policy.

Lists the existing alerting policies for the workspace.

Updates an alerting policy. You can either replace the entire policy with a new one or replace only certain fields in the current alerting policy by specifying the fields to be updated via updateMask. Returns the updated alerting policy.Design your application to single-thread API calls that modify the state of alerting policies in a single project. This includes calls to CreateAlertPolicy, DeleteAlertPolicy and UpdateAlertPolicy.

The "collectdTimeSeries" collection of methods.

Cloud Monitoring Agent only: Creates a new time series.This method is only for use by the Cloud Monitoring Agent. Use projects.timeSeries.create instead.

The "groups" collection of methods.

Creates a new group.

Deletes an existing group.

Gets a single group.

Lists the existing groups.

The "members" collection of methods.

Lists the monitored resources that are members of a group.

Updates an existing group. You can change any group attributes except name.

The "metricDescriptors" collection of methods.

Creates a new metric descriptor. The creation is executed asynchronously. User-created metric descriptors define custom metrics (https://cloud.google.com/monitoring/custom-metrics). The metric descriptor is updated if it already exists, except that metric labels are never removed.

Deletes a metric descriptor. Only user-created custom metrics (https://cloud.google.com/monitoring/custom-metrics) can be deleted.

Gets a single metric descriptor.

Lists metric descriptors that match a filter.

The "monitoredResourceDescriptors" collection of methods.

Gets a single monitored resource descriptor.

Lists monitored resource descriptors that match a filter.

The "notificationChannelDescriptors" collection of methods.

Gets a single channel descriptor. The descriptor indicates which fields are expected / permitted for a notification channel of the given type.

Lists the descriptors for supported channel types. The use of descriptors makes it possible for new channel types to be dynamically added.

The "notificationChannels" collection of methods.

Creates a new notification channel, representing a single notification endpoint such as an email address, SMS number, or PagerDuty service.Design your application to single-thread API calls that modify the state of notification channels in a single project. This includes calls to CreateNotificationChannel, DeleteNotificationChannel and UpdateNotificationChannel.

Deletes a notification channel.Design your application to single-thread API calls that modify the state of notification channels in a single project. This includes calls to CreateNotificationChannel, DeleteNotificationChannel and UpdateNotificationChannel.

Gets a single notification channel. The channel includes the relevant configuration details with which the channel was created. However, the response may truncate or omit passwords, API keys, or other private key matter and thus the response may not be 100% identical to the information that was supplied in the call to the create method.

Requests a verification code for an already verified channel that can then be used in a call to VerifyNotificationChannel() on a different channel with an equivalent identity in the same or in a different project. This makes it possible to copy a channel between projects without requiring manual reverification of the channel. If the channel is not in the verified state, this method will fail (in other words, this may only be used if the SendNotificationChannelVerificationCode and VerifyNotificationChannel paths have already been used to put the given channel into the verified state).There is no guarantee that the verification codes returned by this method will be of a similar structure or form as the ones that are delivered to the channel via SendNotificationChannelVerificationCode; while VerifyNotificationChannel() will recognize both the codes delivered via SendNotificationChannelVerificationCode() and returned from GetNotificationChannelVerificationCode(), it is typically the case that the verification codes delivered via SendNotificationChannelVerificationCode() will be shorter and also have a shorter expiration (e.g. codes such as "G-123456") whereas GetVerificationCode() will typically return a much longer, websafe base 64 encoded string that has a longer expiration time.

Lists the notification channels that have been created for the project. To list the types of notification channels that are supported, use the ListNotificationChannelDescriptors method.

Updates a notification channel. Fields not specified in the field mask remain unchanged.Design your application to single-thread API calls that modify the state of notification channels in a single project. This includes calls to CreateNotificationChannel, DeleteNotificationChannel and UpdateNotificationChannel.

Causes a verification code to be delivered to the channel. The code can then be supplied in VerifyNotificationChannel to verify the channel.

Verifies a NotificationChannel by proving receipt of the code delivered to the channel as a result of calling SendNotificationChannelVerificationCode.

The "snoozes" collection of methods.

Creates a Snooze that will prevent alerts, which match the provided criteria, from being opened. The Snooze applies for a specific time interval.

Retrieves a Snooze by name.

Lists the Snoozes associated with a project. Can optionally pass in filter, which specifies predicates to match Snoozes.

Updates a Snooze, identified by its name, with the parameters in the given Snooze object.

The "timeSeries" collection of methods.

Creates or adds data to one or more time series. The response is empty if all time series in the request were written. If any time series could not be written, a corresponding failure message is included in the error response. This method does not support resource locations constraint of an organization policy (https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations#setting_the_organization_policy).

Creates or adds data to one or more service time series. A service time series is a time series for a metric from a Google Cloud service. The response is empty if all time series in the request were written. If any time series could not be written, a corresponding failure message is included in the error response. This endpoint rejects writes to user-defined metrics. This method is only for use by Google Cloud services. Use projects.timeSeries.create instead.

Lists time series that match a filter.

Queries time series by using Monitoring Query Language (MQL). We recommend using PromQL instead of MQL. For more information about the status of MQL, see the MQL deprecation notice (https://cloud.google.com/stackdriver/docs/deprecations/mql).

The "uptimeCheckConfigs" collection of methods.

Creates a new Uptime check configuration.

Deletes an Uptime check configuration. Note that this method will fail if the Uptime check configuration is referenced by an alert policy or other dependent configs that would be rendered invalid by the deletion.

Gets a single Uptime check configuration.

Lists the existing valid Uptime check configurations for the project (leaving out any invalid configurations).

Updates an Uptime check configuration. You can either replace the entire configuration with a new one or replace only certain fields in the current configuration by specifying the fields to be updated via updateMask. Returns the updated configuration.

The "services" collection of methods.

Create a Service.

Soft delete this Service.

Get the named Service.

List Services for this Metrics Scope.

Update this Service.

The "serviceLevelObjectives" collection of methods.

Create a ServiceLevelObjective for the given Service.

Delete the given ServiceLevelObjective.

Get a ServiceLevelObjective by name.

List the ServiceLevelObjectives for the given Service.

Update the given ServiceLevelObjective.

The "uptimeCheckIps" collection of methods.

Returns the list of IP addresses that checkers run from.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

Required. Specifies which information is returned about the time series.

Data format for response.

V1 error format.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

Required. Specifies which information is returned about the time series.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.

Required. Specifies which information is returned about the time series.

View of the ServiceLevelObjective to return. If DEFAULT, return the ServiceLevelObjective as originally defined. If EXPLICIT and the ServiceLevelObjective is defined in terms of a BasicSli, replace the BasicSli with a RequestBasedSli spelling out how the SLI is computed.

View of the ServiceLevelObjectives to return. If DEFAULT, return each ServiceLevelObjective as originally defined. If EXPLICIT and the ServiceLevelObjective is defined in terms of a BasicSli, replace the BasicSli with a RequestBasedSli spelling out how the SLI is computed.

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