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zz_alertpolicy_types.go
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zz_alertpolicy_types.go
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// SPDX-FileCopyrightText: 2023 The Crossplane Authors <https://crossplane.io>
//
// SPDX-License-Identifier: Apache-2.0
/*
Copyright 2021 The Crossplane Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// Code generated by upjet. DO NOT EDIT.
package v1beta1
import (
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/runtime/schema"
v1 "github.com/crossplane/crossplane-runtime/apis/common/v1"
)
type AggregationsInitParameters struct {
// The alignment period for per-time
// series alignment. If present,
// alignmentPeriod must be at least
// 60 seconds. After per-time series
// alignment, each time series will
// contain data points only on the
// period boundaries. If
// perSeriesAligner is not specified
// or equals ALIGN_NONE, then this
// field is ignored. If
// perSeriesAligner is specified and
// does not equal ALIGN_NONE, then
// this field must be defined;
// otherwise an error is returned.
AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`
// The approach to be used to combine
// time series. Not all reducer
// functions may be applied to all
// time series, depending on the
// metric type and the value type of
// the original time series.
// Reduction may change the metric
// type of value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`
// The set of fields to preserve when
// crossSeriesReducer is specified.
// The groupByFields determine how
// the time series are partitioned
// into subsets prior to applying the
// aggregation function. Each subset
// contains time series that have the
// same value for each of the
// grouping fields. Each individual
// time series is a member of exactly
// one subset. The crossSeriesReducer
// is applied to each subset of time
// series. It is not possible to
// reduce across different resource
// types, so this field implicitly
// contains resource.type. Fields not
// specified in groupByFields are
// aggregated away. If groupByFields
// is not specified and all the time
// series have the same resource
// type, then the time series are
// aggregated into a single output
// time series. If crossSeriesReducer
// is not defined, this field is
// ignored.
GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`
// The approach to be used to align
// individual time series. Not all
// alignment functions may be applied
// to all time series, depending on
// the metric type and value type of
// the original time series.
// Alignment may change the metric
// type or the value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: 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_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}
type AggregationsObservation struct {
// The alignment period for per-time
// series alignment. If present,
// alignmentPeriod must be at least
// 60 seconds. After per-time series
// alignment, each time series will
// contain data points only on the
// period boundaries. If
// perSeriesAligner is not specified
// or equals ALIGN_NONE, then this
// field is ignored. If
// perSeriesAligner is specified and
// does not equal ALIGN_NONE, then
// this field must be defined;
// otherwise an error is returned.
AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`
// The approach to be used to combine
// time series. Not all reducer
// functions may be applied to all
// time series, depending on the
// metric type and the value type of
// the original time series.
// Reduction may change the metric
// type of value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`
// The set of fields to preserve when
// crossSeriesReducer is specified.
// The groupByFields determine how
// the time series are partitioned
// into subsets prior to applying the
// aggregation function. Each subset
// contains time series that have the
// same value for each of the
// grouping fields. Each individual
// time series is a member of exactly
// one subset. The crossSeriesReducer
// is applied to each subset of time
// series. It is not possible to
// reduce across different resource
// types, so this field implicitly
// contains resource.type. Fields not
// specified in groupByFields are
// aggregated away. If groupByFields
// is not specified and all the time
// series have the same resource
// type, then the time series are
// aggregated into a single output
// time series. If crossSeriesReducer
// is not defined, this field is
// ignored.
GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`
// The approach to be used to align
// individual time series. Not all
// alignment functions may be applied
// to all time series, depending on
// the metric type and value type of
// the original time series.
// Alignment may change the metric
// type or the value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: 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_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}
type AggregationsParameters struct {
// The alignment period for per-time
// series alignment. If present,
// alignmentPeriod must be at least
// 60 seconds. After per-time series
// alignment, each time series will
// contain data points only on the
// period boundaries. If
// perSeriesAligner is not specified
// or equals ALIGN_NONE, then this
// field is ignored. If
// perSeriesAligner is specified and
// does not equal ALIGN_NONE, then
// this field must be defined;
// otherwise an error is returned.
// +kubebuilder:validation:Optional
AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`
// The approach to be used to combine
// time series. Not all reducer
// functions may be applied to all
// time series, depending on the
// metric type and the value type of
// the original time series.
// Reduction may change the metric
// type of value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
// +kubebuilder:validation:Optional
CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`
// The set of fields to preserve when
// crossSeriesReducer is specified.
// The groupByFields determine how
// the time series are partitioned
// into subsets prior to applying the
// aggregation function. Each subset
// contains time series that have the
// same value for each of the
// grouping fields. Each individual
// time series is a member of exactly
// one subset. The crossSeriesReducer
// is applied to each subset of time
// series. It is not possible to
// reduce across different resource
// types, so this field implicitly
// contains resource.type. Fields not
// specified in groupByFields are
// aggregated away. If groupByFields
// is not specified and all the time
// series have the same resource
// type, then the time series are
// aggregated into a single output
// time series. If crossSeriesReducer
// is not defined, this field is
// ignored.
// +kubebuilder:validation:Optional
GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`
// The approach to be used to align
// individual time series. Not all
// alignment functions may be applied
// to all time series, depending on
// the metric type and value type of
// the original time series.
// Alignment may change the metric
// type or the value type of the time
// series.Time series data must be
// aligned in order to perform cross-
// time series reduction. If
// crossSeriesReducer is specified,
// then perSeriesAligner must be
// specified and not equal ALIGN_NONE
// and alignmentPeriod must be
// specified; otherwise, an error is
// returned.
// Possible values are: 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_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
// +kubebuilder:validation:Optional
PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}
type AlertPolicyInitParameters struct {
// Control over how this alert policy's notification channels are notified.
// Structure is documented below.
AlertStrategy []AlertStrategyInitParameters `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`
// How to combine the results of multiple conditions to
// determine if an incident should be opened.
// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`
// A list of conditions for the policy. The conditions are combined by
// AND or OR according to the combiner field. If the combined conditions
// evaluate to true, then an incident is created. A policy can have from
// one to six conditions.
// Structure is documented below.
Conditions []ConditionsInitParameters `json:"conditions,omitempty" tf:"conditions,omitempty"`
// A short name or phrase used to identify the policy in
// dashboards, notifications, and incidents. To avoid confusion, don't use
// the same display name for multiple policies in the same project. The
// name is limited to 512 Unicode characters.
DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`
// Documentation that is included with notifications and incidents related
// to this policy. Best practice is for the documentation to include information
// to help responders understand, mitigate, escalate, and correct the underlying
// problems detected by the alerting policy. Notification channels that have
// limited capacity might not show this documentation.
// Structure is documented below.
Documentation []DocumentationInitParameters `json:"documentation,omitempty" tf:"documentation,omitempty"`
// Whether or not the policy is enabled. The default is true.
Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`
// Identifies the notification channels to which notifications should be
// sent when incidents are opened or closed or when new violations occur
// on an already opened incident. Each element of this array corresponds
// to the name field in each of the NotificationChannel objects that are
// returned from the notificationChannels.list method. The syntax of the
// entries in this field is
// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project *string `json:"project,omitempty" tf:"project,omitempty"`
// This field is intended to be used for organizing and identifying the AlertPolicy
// objects.The field can contain up to 64 entries. Each key and value is limited
// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
// can contain only lowercase letters, numerals, underscores, and dashes. Keys
// must begin with a letter.
// +mapType=granular
UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}
type AlertPolicyObservation struct {
// Control over how this alert policy's notification channels are notified.
// Structure is documented below.
AlertStrategy []AlertStrategyObservation `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`
// How to combine the results of multiple conditions to
// determine if an incident should be opened.
// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`
// A list of conditions for the policy. The conditions are combined by
// AND or OR according to the combiner field. If the combined conditions
// evaluate to true, then an incident is created. A policy can have from
// one to six conditions.
// Structure is documented below.
Conditions []ConditionsObservation `json:"conditions,omitempty" tf:"conditions,omitempty"`
// A read-only record of the creation of the alerting policy.
// If provided in a call to create or update, this field will
// be ignored.
// Structure is documented below.
CreationRecord []CreationRecordObservation `json:"creationRecord,omitempty" tf:"creation_record,omitempty"`
// A short name or phrase used to identify the policy in
// dashboards, notifications, and incidents. To avoid confusion, don't use
// the same display name for multiple policies in the same project. The
// name is limited to 512 Unicode characters.
DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`
// Documentation that is included with notifications and incidents related
// to this policy. Best practice is for the documentation to include information
// to help responders understand, mitigate, escalate, and correct the underlying
// problems detected by the alerting policy. Notification channels that have
// limited capacity might not show this documentation.
// Structure is documented below.
Documentation []DocumentationObservation `json:"documentation,omitempty" tf:"documentation,omitempty"`
// Whether or not the policy is enabled. The default is true.
Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`
// an identifier for the resource with format {{name}}
ID *string `json:"id,omitempty" tf:"id,omitempty"`
// The unique resource name for this policy.
// Its syntax is: projects/[PROJECT_ID]/alertPolicies/[ALERT_POLICY_ID]
Name *string `json:"name,omitempty" tf:"name,omitempty"`
// Identifies the notification channels to which notifications should be
// sent when incidents are opened or closed or when new violations occur
// on an already opened incident. Each element of this array corresponds
// to the name field in each of the NotificationChannel objects that are
// returned from the notificationChannels.list method. The syntax of the
// entries in this field is
// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project *string `json:"project,omitempty" tf:"project,omitempty"`
// This field is intended to be used for organizing and identifying the AlertPolicy
// objects.The field can contain up to 64 entries. Each key and value is limited
// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
// can contain only lowercase letters, numerals, underscores, and dashes. Keys
// must begin with a letter.
// +mapType=granular
UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}
type AlertPolicyParameters struct {
// Control over how this alert policy's notification channels are notified.
// Structure is documented below.
// +kubebuilder:validation:Optional
AlertStrategy []AlertStrategyParameters `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`
// How to combine the results of multiple conditions to
// determine if an incident should be opened.
// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
// +kubebuilder:validation:Optional
Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`
// A list of conditions for the policy. The conditions are combined by
// AND or OR according to the combiner field. If the combined conditions
// evaluate to true, then an incident is created. A policy can have from
// one to six conditions.
// Structure is documented below.
// +kubebuilder:validation:Optional
Conditions []ConditionsParameters `json:"conditions,omitempty" tf:"conditions,omitempty"`
// A short name or phrase used to identify the policy in
// dashboards, notifications, and incidents. To avoid confusion, don't use
// the same display name for multiple policies in the same project. The
// name is limited to 512 Unicode characters.
// +kubebuilder:validation:Optional
DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`
// Documentation that is included with notifications and incidents related
// to this policy. Best practice is for the documentation to include information
// to help responders understand, mitigate, escalate, and correct the underlying
// problems detected by the alerting policy. Notification channels that have
// limited capacity might not show this documentation.
// Structure is documented below.
// +kubebuilder:validation:Optional
Documentation []DocumentationParameters `json:"documentation,omitempty" tf:"documentation,omitempty"`
// Whether or not the policy is enabled. The default is true.
// +kubebuilder:validation:Optional
Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`
// Identifies the notification channels to which notifications should be
// sent when incidents are opened or closed or when new violations occur
// on an already opened incident. Each element of this array corresponds
// to the name field in each of the NotificationChannel objects that are
// returned from the notificationChannels.list method. The syntax of the
// entries in this field is
// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
// +kubebuilder:validation:Optional
NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
// +kubebuilder:validation:Optional
Project *string `json:"project,omitempty" tf:"project,omitempty"`
// This field is intended to be used for organizing and identifying the AlertPolicy
// objects.The field can contain up to 64 entries. Each key and value is limited
// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
// can contain only lowercase letters, numerals, underscores, and dashes. Keys
// must begin with a letter.
// +kubebuilder:validation:Optional
// +mapType=granular
UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}
type AlertStrategyInitParameters struct {
// If an alert policy that was active has no data for this long, any open incidents will close.
AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`
// Control over how the notification channels in notification_channels
// are notified when this alert fires, on a per-channel basis.
// Structure is documented below.
NotificationChannelStrategy []NotificationChannelStrategyInitParameters `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`
// Required for alert policies with a LogMatch condition.
// This limit is not implemented for alert policies that are not log-based.
// Structure is documented below.
NotificationRateLimit []NotificationRateLimitInitParameters `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}
type AlertStrategyObservation struct {
// If an alert policy that was active has no data for this long, any open incidents will close.
AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`
// Control over how the notification channels in notification_channels
// are notified when this alert fires, on a per-channel basis.
// Structure is documented below.
NotificationChannelStrategy []NotificationChannelStrategyObservation `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`
// Required for alert policies with a LogMatch condition.
// This limit is not implemented for alert policies that are not log-based.
// Structure is documented below.
NotificationRateLimit []NotificationRateLimitObservation `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}
type AlertStrategyParameters struct {
// If an alert policy that was active has no data for this long, any open incidents will close.
// +kubebuilder:validation:Optional
AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`
// Control over how the notification channels in notification_channels
// are notified when this alert fires, on a per-channel basis.
// Structure is documented below.
// +kubebuilder:validation:Optional
NotificationChannelStrategy []NotificationChannelStrategyParameters `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`
// Required for alert policies with a LogMatch condition.
// This limit is not implemented for alert policies that are not log-based.
// Structure is documented below.
// +kubebuilder:validation:Optional
NotificationRateLimit []NotificationRateLimitParameters `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}
type ConditionAbsentInitParameters struct {
// Specifies the alignment of data points in
// individual time series as well as how to
// combine the retrieved time series together
// (such as when aggregating multiple streams
// on each resource to a single stream for each
// resource or when aggregating streams across
// all members of a group of resources).
// Multiple aggregations are applied in the
// order specified.This field is similar to the
// one in the MetricService.ListTimeSeries
// request. It is advisable to use the
// ListTimeSeries method when debugging this
// field.
// Structure is documented below.
Aggregations []AggregationsInitParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
Trigger []TriggerInitParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionAbsentObservation struct {
// Specifies the alignment of data points in
// individual time series as well as how to
// combine the retrieved time series together
// (such as when aggregating multiple streams
// on each resource to a single stream for each
// resource or when aggregating streams across
// all members of a group of resources).
// Multiple aggregations are applied in the
// order specified.This field is similar to the
// one in the MetricService.ListTimeSeries
// request. It is advisable to use the
// ListTimeSeries method when debugging this
// field.
// Structure is documented below.
Aggregations []AggregationsObservation `json:"aggregations,omitempty" tf:"aggregations,omitempty"`
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
Trigger []TriggerObservation `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionAbsentParameters struct {
// Specifies the alignment of data points in
// individual time series as well as how to
// combine the retrieved time series together
// (such as when aggregating multiple streams
// on each resource to a single stream for each
// resource or when aggregating streams across
// all members of a group of resources).
// Multiple aggregations are applied in the
// order specified.This field is similar to the
// one in the MetricService.ListTimeSeries
// request. It is advisable to use the
// ListTimeSeries method when debugging this
// field.
// Structure is documented below.
// +kubebuilder:validation:Optional
Aggregations []AggregationsParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
// +kubebuilder:validation:Optional
Duration *string `json:"duration" tf:"duration,omitempty"`
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
// +kubebuilder:validation:Optional
Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
// +kubebuilder:validation:Optional
Trigger []TriggerParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionMatchedLogInitParameters struct {
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`
// A map from a label key to an extractor expression, which is used to
// extract the value for this label key. Each entry in this map is
// a specification for how data should be extracted from log entries that
// match filter. Each combination of extracted values is treated as
// a separate rule for the purposes of triggering notifications.
// Label keys and corresponding values can be used in notifications
// generated by this condition.
// +mapType=granular
LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}
type ConditionMatchedLogObservation struct {
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`
// A map from a label key to an extractor expression, which is used to
// extract the value for this label key. Each entry in this map is
// a specification for how data should be extracted from log entries that
// match filter. Each combination of extracted values is treated as
// a separate rule for the purposes of triggering notifications.
// Label keys and corresponding values can be used in notifications
// generated by this condition.
// +mapType=granular
LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}
type ConditionMatchedLogParameters struct {
// A filter that identifies which time series
// should be compared with the threshold.The
// filter is similar to the one that is
// specified in the
// MetricService.ListTimeSeries request (that
// call is useful to verify the time series
// that will be retrieved / processed) and must
// specify the metric type and optionally may
// contain restrictions on resource type,
// resource labels, and metric labels. This
// field may not exceed 2048 Unicode characters
// in length.
// +kubebuilder:validation:Optional
Filter *string `json:"filter" tf:"filter,omitempty"`
// A map from a label key to an extractor expression, which is used to
// extract the value for this label key. Each entry in this map is
// a specification for how data should be extracted from log entries that
// match filter. Each combination of extracted values is treated as
// a separate rule for the purposes of triggering notifications.
// Label keys and corresponding values can be used in notifications
// generated by this condition.
// +kubebuilder:validation:Optional
// +mapType=granular
LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}
type ConditionMonitoringQueryLanguageInitParameters struct {
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`
// A condition control that determines how
// metric-threshold conditions are evaluated when
// data stops arriving.
// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`
// The PromQL expression to evaluate. Every evaluation cycle this
// expression is evaluated at the current time, and all resultant time
// series become pending/firing alerts. This field must not be empty.
Query *string `json:"query,omitempty" tf:"query,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
Trigger []ConditionMonitoringQueryLanguageTriggerInitParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionMonitoringQueryLanguageObservation struct {
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`
// A condition control that determines how
// metric-threshold conditions are evaluated when
// data stops arriving.
// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`
// The PromQL expression to evaluate. Every evaluation cycle this
// expression is evaluated at the current time, and all resultant time
// series become pending/firing alerts. This field must not be empty.
Query *string `json:"query,omitempty" tf:"query,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
Trigger []ConditionMonitoringQueryLanguageTriggerObservation `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionMonitoringQueryLanguageParameters struct {
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected
// by any alignments specified in the
// aggregations field); a good duration is long
// enough so that a single outlier does not
// generate spurious alerts, but short enough
// that unhealthy states are detected and
// alerted on quickly.
// +kubebuilder:validation:Optional
Duration *string `json:"duration" tf:"duration,omitempty"`
// A condition control that determines how
// metric-threshold conditions are evaluated when
// data stops arriving.
// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
// +kubebuilder:validation:Optional
EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`
// The PromQL expression to evaluate. Every evaluation cycle this
// expression is evaluated at the current time, and all resultant time
// series become pending/firing alerts. This field must not be empty.
// +kubebuilder:validation:Optional
Query *string `json:"query" tf:"query,omitempty"`
// The number/percent of time series for which
// the comparison must hold in order for the
// condition to trigger. If unspecified, then
// the condition will trigger if the comparison
// is true for any of the time series that have
// been identified by filter and aggregations,
// or by the ratio, if denominator_filter and
// denominator_aggregations are specified.
// Structure is documented below.
// +kubebuilder:validation:Optional
Trigger []ConditionMonitoringQueryLanguageTriggerParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}
type ConditionMonitoringQueryLanguageTriggerInitParameters struct {
// The absolute number of time series
// that must fail the predicate for the
// condition to be triggered.
Count *float64 `json:"count,omitempty" tf:"count,omitempty"`
// The percentage of time series that
// must fail the predicate for the
// condition to be triggered.
Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}
type ConditionMonitoringQueryLanguageTriggerObservation struct {
// The absolute number of time series
// that must fail the predicate for the
// condition to be triggered.
Count *float64 `json:"count,omitempty" tf:"count,omitempty"`
// The percentage of time series that
// must fail the predicate for the
// condition to be triggered.
Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}
type ConditionMonitoringQueryLanguageTriggerParameters struct {
// The absolute number of time series
// that must fail the predicate for the
// condition to be triggered.
// +kubebuilder:validation:Optional
Count *float64 `json:"count,omitempty" tf:"count,omitempty"`
// The percentage of time series that
// must fail the predicate for the
// condition to be triggered.
// +kubebuilder:validation:Optional
Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}
type ConditionPrometheusQueryLanguageInitParameters struct {
// The alerting rule name of this alert in the corresponding Prometheus
// configuration file.
// Some external tools may require this field to be populated correctly
// in order to refer to the original Prometheus configuration file.
// The rule group name and the alert name are necessary to update the
// relevant AlertPolicies in case the definition of the rule group changes
// in the future.
// This field is optional. If this field is not empty, then it must be a
// valid Prometheus label name.
AlertRule *string `json:"alertRule,omitempty" tf:"alert_rule,omitempty"`
// The amount of time that a time series must
// violate the threshold to be considered
// failing. Currently, only values that are a
// multiple of a minute--e.g., 0, 60, 120, or
// 300 seconds--are supported. If an invalid
// value is given, an error will be returned.
// When choosing a duration, it is useful to
// keep in mind the frequency of the underlying
// time series data (which may also be affected