Docs Packages
  1. Packages
  2. Google Cloud (GCP) Classic
  3. API Docs
  4. monitoring
  5. AlertPolicy
Google Cloud Classic v7.2.1 published on Wednesday, Nov 22, 2023 by Pulumi
pulumi/pulumi-gcp

gcp.monitoring.AlertPolicy

Explore with Pulumi AI

gcp logo
Google Cloud Classic v7.2.1 published on Wednesday, Nov 22, 2023 by Pulumi
pulumi/pulumi-gcp

    A description of the conditions under which some aspect of your system is considered to be “unhealthy” and the ways to notify people or services about this state.

    To get more information about AlertPolicy, see:

    Example Usage

    Monitoring Alert Policy Basic

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var alertPolicy = new Gcp.Monitoring.AlertPolicy("alertPolicy", new()
    {
        Combiner = "OR",
        Conditions = new[]
        {
            new Gcp.Monitoring.Inputs.AlertPolicyConditionArgs
            {
                ConditionThreshold = new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdArgs
                {
                    Aggregations = new[]
                    {
                        new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdAggregationArgs
                        {
                            AlignmentPeriod = "60s",
                            PerSeriesAligner = "ALIGN_RATE",
                        },
                    },
                    Comparison = "COMPARISON_GT",
                    Duration = "60s",
                    Filter = "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
                },
                DisplayName = "test condition",
            },
        },
        DisplayName = "My Alert Policy",
        UserLabels = 
        {
            { "foo", "bar" },
        },
    });

});

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/monitoring"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := monitoring.NewAlertPolicy(ctx, "alertPolicy", &monitoring.AlertPolicyArgs{
			Combiner: pulumi.String("OR"),
			Conditions: monitoring.AlertPolicyConditionArray{
				&monitoring.AlertPolicyConditionArgs{
					ConditionThreshold: &monitoring.AlertPolicyConditionConditionThresholdArgs{
						Aggregations: monitoring.AlertPolicyConditionConditionThresholdAggregationArray{
							&monitoring.AlertPolicyConditionConditionThresholdAggregationArgs{
								AlignmentPeriod:  pulumi.String("60s"),
								PerSeriesAligner: pulumi.String("ALIGN_RATE"),
							},
						},
						Comparison: pulumi.String("COMPARISON_GT"),
						Duration:   pulumi.String("60s"),
						Filter:     pulumi.String("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\""),
					},
					DisplayName: pulumi.String("test condition"),
				},
			},
			DisplayName: pulumi.String("My Alert Policy"),
			UserLabels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.monitoring.AlertPolicy;
import com.pulumi.gcp.monitoring.AlertPolicyArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var alertPolicy = new AlertPolicy("alertPolicy", AlertPolicyArgs.builder()        
            .combiner("OR")
            .conditions(AlertPolicyConditionArgs.builder()
                .conditionThreshold(AlertPolicyConditionConditionThresholdArgs.builder()
                    .aggregations(AlertPolicyConditionConditionThresholdAggregationArgs.builder()
                        .alignmentPeriod("60s")
                        .perSeriesAligner("ALIGN_RATE")
                        .build())
                    .comparison("COMPARISON_GT")
                    .duration("60s")
                    .filter("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"")
                    .build())
                .displayName("test condition")
                .build())
            .displayName("My Alert Policy")
            .userLabels(Map.of("foo", "bar"))
            .build());

    }
}

    import pulumi
import pulumi_gcp as gcp

alert_policy = gcp.monitoring.AlertPolicy("alertPolicy",
    combiner="OR",
    conditions=[gcp.monitoring.AlertPolicyConditionArgs(
        condition_threshold=gcp.monitoring.AlertPolicyConditionConditionThresholdArgs(
            aggregations=[gcp.monitoring.AlertPolicyConditionConditionThresholdAggregationArgs(
                alignment_period="60s",
                per_series_aligner="ALIGN_RATE",
            )],
            comparison="COMPARISON_GT",
            duration="60s",
            filter="metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
        ),
        display_name="test condition",
    )],
    display_name="My Alert Policy",
    user_labels={
        "foo": "bar",
    })

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const alertPolicy = new gcp.monitoring.AlertPolicy("alertPolicy", {
    combiner: "OR",
    conditions: [{
        conditionThreshold: {
            aggregations: [{
                alignmentPeriod: "60s",
                perSeriesAligner: "ALIGN_RATE",
            }],
            comparison: "COMPARISON_GT",
            duration: "60s",
            filter: "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
        },
        displayName: "test condition",
    }],
    displayName: "My Alert Policy",
    userLabels: {
        foo: "bar",
    },
});

    resources:
  alertPolicy:
    type: gcp:monitoring:AlertPolicy
    properties:
      combiner: OR
      conditions:
        - conditionThreshold:
            aggregations:
              - alignmentPeriod: 60s
                perSeriesAligner: ALIGN_RATE
            comparison: COMPARISON_GT
            duration: 60s
            filter: metric.type="compute.googleapis.com/instance/disk/write_bytes_count" AND resource.type="gce_instance"
          displayName: test condition
      displayName: My Alert Policy
      userLabels:
        foo: bar

    Monitoring Alert Policy Evaluation Missing Data

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var alertPolicy = new Gcp.Monitoring.AlertPolicy("alertPolicy", new()
    {
        Combiner = "OR",
        Conditions = new[]
        {
            new Gcp.Monitoring.Inputs.AlertPolicyConditionArgs
            {
                ConditionThreshold = new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdArgs
                {
                    Aggregations = new[]
                    {
                        new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdAggregationArgs
                        {
                            AlignmentPeriod = "60s",
                            PerSeriesAligner = "ALIGN_RATE",
                        },
                    },
                    Comparison = "COMPARISON_GT",
                    Duration = "60s",
                    EvaluationMissingData = "EVALUATION_MISSING_DATA_INACTIVE",
                    Filter = "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
                },
                DisplayName = "test condition",
            },
        },
        DisplayName = "My Alert Policy",
        UserLabels = 
        {
            { "foo", "bar" },
        },
    });

});

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/monitoring"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := monitoring.NewAlertPolicy(ctx, "alertPolicy", &monitoring.AlertPolicyArgs{
			Combiner: pulumi.String("OR"),
			Conditions: monitoring.AlertPolicyConditionArray{
				&monitoring.AlertPolicyConditionArgs{
					ConditionThreshold: &monitoring.AlertPolicyConditionConditionThresholdArgs{
						Aggregations: monitoring.AlertPolicyConditionConditionThresholdAggregationArray{
							&monitoring.AlertPolicyConditionConditionThresholdAggregationArgs{
								AlignmentPeriod:  pulumi.String("60s"),
								PerSeriesAligner: pulumi.String("ALIGN_RATE"),
							},
						},
						Comparison:            pulumi.String("COMPARISON_GT"),
						Duration:              pulumi.String("60s"),
						EvaluationMissingData: pulumi.String("EVALUATION_MISSING_DATA_INACTIVE"),
						Filter:                pulumi.String("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\""),
					},
					DisplayName: pulumi.String("test condition"),
				},
			},
			DisplayName: pulumi.String("My Alert Policy"),
			UserLabels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.monitoring.AlertPolicy;
import com.pulumi.gcp.monitoring.AlertPolicyArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var alertPolicy = new AlertPolicy("alertPolicy", AlertPolicyArgs.builder()        
            .combiner("OR")
            .conditions(AlertPolicyConditionArgs.builder()
                .conditionThreshold(AlertPolicyConditionConditionThresholdArgs.builder()
                    .aggregations(AlertPolicyConditionConditionThresholdAggregationArgs.builder()
                        .alignmentPeriod("60s")
                        .perSeriesAligner("ALIGN_RATE")
                        .build())
                    .comparison("COMPARISON_GT")
                    .duration("60s")
                    .evaluationMissingData("EVALUATION_MISSING_DATA_INACTIVE")
                    .filter("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"")
                    .build())
                .displayName("test condition")
                .build())
            .displayName("My Alert Policy")
            .userLabels(Map.of("foo", "bar"))
            .build());

    }
}

    import pulumi
import pulumi_gcp as gcp

alert_policy = gcp.monitoring.AlertPolicy("alertPolicy",
    combiner="OR",
    conditions=[gcp.monitoring.AlertPolicyConditionArgs(
        condition_threshold=gcp.monitoring.AlertPolicyConditionConditionThresholdArgs(
            aggregations=[gcp.monitoring.AlertPolicyConditionConditionThresholdAggregationArgs(
                alignment_period="60s",
                per_series_aligner="ALIGN_RATE",
            )],
            comparison="COMPARISON_GT",
            duration="60s",
            evaluation_missing_data="EVALUATION_MISSING_DATA_INACTIVE",
            filter="metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
        ),
        display_name="test condition",
    )],
    display_name="My Alert Policy",
    user_labels={
        "foo": "bar",
    })

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const alertPolicy = new gcp.monitoring.AlertPolicy("alertPolicy", {
    combiner: "OR",
    conditions: [{
        conditionThreshold: {
            aggregations: [{
                alignmentPeriod: "60s",
                perSeriesAligner: "ALIGN_RATE",
            }],
            comparison: "COMPARISON_GT",
            duration: "60s",
            evaluationMissingData: "EVALUATION_MISSING_DATA_INACTIVE",
            filter: "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
        },
        displayName: "test condition",
    }],
    displayName: "My Alert Policy",
    userLabels: {
        foo: "bar",
    },
});

    resources:
  alertPolicy:
    type: gcp:monitoring:AlertPolicy
    properties:
      combiner: OR
      conditions:
        - conditionThreshold:
            aggregations:
              - alignmentPeriod: 60s
                perSeriesAligner: ALIGN_RATE
            comparison: COMPARISON_GT
            duration: 60s
            evaluationMissingData: EVALUATION_MISSING_DATA_INACTIVE
            filter: metric.type="compute.googleapis.com/instance/disk/write_bytes_count" AND resource.type="gce_instance"
          displayName: test condition
      displayName: My Alert Policy
      userLabels:
        foo: bar

    Monitoring Alert Policy Forecast Options

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var alertPolicy = new Gcp.Monitoring.AlertPolicy("alertPolicy", new()
    {
        Combiner = "OR",
        Conditions = new[]
        {
            new Gcp.Monitoring.Inputs.AlertPolicyConditionArgs
            {
                ConditionThreshold = new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdArgs
                {
                    Aggregations = new[]
                    {
                        new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdAggregationArgs
                        {
                            AlignmentPeriod = "60s",
                            PerSeriesAligner = "ALIGN_RATE",
                        },
                    },
                    Comparison = "COMPARISON_GT",
                    Duration = "60s",
                    Filter = "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
                    ForecastOptions = new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionThresholdForecastOptionsArgs
                    {
                        ForecastHorizon = "3600s",
                    },
                },
                DisplayName = "test condition",
            },
        },
        DisplayName = "My Alert Policy",
        UserLabels = 
        {
            { "foo", "bar" },
        },
    });

});

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/monitoring"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := monitoring.NewAlertPolicy(ctx, "alertPolicy", &monitoring.AlertPolicyArgs{
			Combiner: pulumi.String("OR"),
			Conditions: monitoring.AlertPolicyConditionArray{
				&monitoring.AlertPolicyConditionArgs{
					ConditionThreshold: &monitoring.AlertPolicyConditionConditionThresholdArgs{
						Aggregations: monitoring.AlertPolicyConditionConditionThresholdAggregationArray{
							&monitoring.AlertPolicyConditionConditionThresholdAggregationArgs{
								AlignmentPeriod:  pulumi.String("60s"),
								PerSeriesAligner: pulumi.String("ALIGN_RATE"),
							},
						},
						Comparison: pulumi.String("COMPARISON_GT"),
						Duration:   pulumi.String("60s"),
						Filter:     pulumi.String("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\""),
						ForecastOptions: &monitoring.AlertPolicyConditionConditionThresholdForecastOptionsArgs{
							ForecastHorizon: pulumi.String("3600s"),
						},
					},
					DisplayName: pulumi.String("test condition"),
				},
			},
			DisplayName: pulumi.String("My Alert Policy"),
			UserLabels: pulumi.StringMap{
				"foo": pulumi.String("bar"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.monitoring.AlertPolicy;
import com.pulumi.gcp.monitoring.AlertPolicyArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionThresholdForecastOptionsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var alertPolicy = new AlertPolicy("alertPolicy", AlertPolicyArgs.builder()        
            .combiner("OR")
            .conditions(AlertPolicyConditionArgs.builder()
                .conditionThreshold(AlertPolicyConditionConditionThresholdArgs.builder()
                    .aggregations(AlertPolicyConditionConditionThresholdAggregationArgs.builder()
                        .alignmentPeriod("60s")
                        .perSeriesAligner("ALIGN_RATE")
                        .build())
                    .comparison("COMPARISON_GT")
                    .duration("60s")
                    .filter("metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"")
                    .forecastOptions(AlertPolicyConditionConditionThresholdForecastOptionsArgs.builder()
                        .forecastHorizon("3600s")
                        .build())
                    .build())
                .displayName("test condition")
                .build())
            .displayName("My Alert Policy")
            .userLabels(Map.of("foo", "bar"))
            .build());

    }
}

    import pulumi
import pulumi_gcp as gcp

alert_policy = gcp.monitoring.AlertPolicy("alertPolicy",
    combiner="OR",
    conditions=[gcp.monitoring.AlertPolicyConditionArgs(
        condition_threshold=gcp.monitoring.AlertPolicyConditionConditionThresholdArgs(
            aggregations=[gcp.monitoring.AlertPolicyConditionConditionThresholdAggregationArgs(
                alignment_period="60s",
                per_series_aligner="ALIGN_RATE",
            )],
            comparison="COMPARISON_GT",
            duration="60s",
            filter="metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
            forecast_options=gcp.monitoring.AlertPolicyConditionConditionThresholdForecastOptionsArgs(
                forecast_horizon="3600s",
            ),
        ),
        display_name="test condition",
    )],
    display_name="My Alert Policy",
    user_labels={
        "foo": "bar",
    })

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const alertPolicy = new gcp.monitoring.AlertPolicy("alertPolicy", {
    combiner: "OR",
    conditions: [{
        conditionThreshold: {
            aggregations: [{
                alignmentPeriod: "60s",
                perSeriesAligner: "ALIGN_RATE",
            }],
            comparison: "COMPARISON_GT",
            duration: "60s",
            filter: "metric.type=\"compute.googleapis.com/instance/disk/write_bytes_count\" AND resource.type=\"gce_instance\"",
            forecastOptions: {
                forecastHorizon: "3600s",
            },
        },
        displayName: "test condition",
    }],
    displayName: "My Alert Policy",
    userLabels: {
        foo: "bar",
    },
});

    resources:
  alertPolicy:
    type: gcp:monitoring:AlertPolicy
    properties:
      combiner: OR
      conditions:
        - conditionThreshold:
            aggregations:
              - alignmentPeriod: 60s
                perSeriesAligner: ALIGN_RATE
            comparison: COMPARISON_GT
            duration: 60s
            filter: metric.type="compute.googleapis.com/instance/disk/write_bytes_count" AND resource.type="gce_instance"
            forecastOptions:
              forecastHorizon: 3600s
          displayName: test condition
      displayName: My Alert Policy
      userLabels:
        foo: bar

    Monitoring Alert Policy Promql Condition

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var alertPolicy = new Gcp.Monitoring.AlertPolicy("alertPolicy", new()
    {
        AlertStrategy = new Gcp.Monitoring.Inputs.AlertPolicyAlertStrategyArgs
        {
            AutoClose = "1800s",
        },
        Combiner = "OR",
        Conditions = new[]
        {
            new Gcp.Monitoring.Inputs.AlertPolicyConditionArgs
            {
                ConditionPrometheusQueryLanguage = new Gcp.Monitoring.Inputs.AlertPolicyConditionConditionPrometheusQueryLanguageArgs
                {
                    AlertRule = "AlwaysOn",
                    Duration = "60s",
                    EvaluationInterval = "60s",
                    Query = "compute_googleapis_com:instance_cpu_usage_time > 0",
                    RuleGroup = "a test",
                },
                DisplayName = "test condition",
            },
        },
        DisplayName = "My Alert Policy",
    });

});

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/monitoring"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := monitoring.NewAlertPolicy(ctx, "alertPolicy", &monitoring.AlertPolicyArgs{
			AlertStrategy: &monitoring.AlertPolicyAlertStrategyArgs{
				AutoClose: pulumi.String("1800s"),
			},
			Combiner: pulumi.String("OR"),
			Conditions: monitoring.AlertPolicyConditionArray{
				&monitoring.AlertPolicyConditionArgs{
					ConditionPrometheusQueryLanguage: &monitoring.AlertPolicyConditionConditionPrometheusQueryLanguageArgs{
						AlertRule:          pulumi.String("AlwaysOn"),
						Duration:           pulumi.String("60s"),
						EvaluationInterval: pulumi.String("60s"),
						Query:              pulumi.String("compute_googleapis_com:instance_cpu_usage_time > 0"),
						RuleGroup:          pulumi.String("a test"),
					},
					DisplayName: pulumi.String("test condition"),
				},
			},
			DisplayName: pulumi.String("My Alert Policy"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.monitoring.AlertPolicy;
import com.pulumi.gcp.monitoring.AlertPolicyArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyAlertStrategyArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionArgs;
import com.pulumi.gcp.monitoring.inputs.AlertPolicyConditionConditionPrometheusQueryLanguageArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var alertPolicy = new AlertPolicy("alertPolicy", AlertPolicyArgs.builder()        
            .alertStrategy(AlertPolicyAlertStrategyArgs.builder()
                .autoClose("1800s")
                .build())
            .combiner("OR")
            .conditions(AlertPolicyConditionArgs.builder()
                .conditionPrometheusQueryLanguage(AlertPolicyConditionConditionPrometheusQueryLanguageArgs.builder()
                    .alertRule("AlwaysOn")
                    .duration("60s")
                    .evaluationInterval("60s")
                    .query("compute_googleapis_com:instance_cpu_usage_time > 0")
                    .ruleGroup("a test")
                    .build())
                .displayName("test condition")
                .build())
            .displayName("My Alert Policy")
            .build());

    }
}

    import pulumi
import pulumi_gcp as gcp

alert_policy = gcp.monitoring.AlertPolicy("alertPolicy",
    alert_strategy=gcp.monitoring.AlertPolicyAlertStrategyArgs(
        auto_close="1800s",
    ),
    combiner="OR",
    conditions=[gcp.monitoring.AlertPolicyConditionArgs(
        condition_prometheus_query_language=gcp.monitoring.AlertPolicyConditionConditionPrometheusQueryLanguageArgs(
            alert_rule="AlwaysOn",
            duration="60s",
            evaluation_interval="60s",
            query="compute_googleapis_com:instance_cpu_usage_time > 0",
            rule_group="a test",
        ),
        display_name="test condition",
    )],
    display_name="My Alert Policy")

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const alertPolicy = new gcp.monitoring.AlertPolicy("alertPolicy", {
    alertStrategy: {
        autoClose: "1800s",
    },
    combiner: "OR",
    conditions: [{
        conditionPrometheusQueryLanguage: {
            alertRule: "AlwaysOn",
            duration: "60s",
            evaluationInterval: "60s",
            query: "compute_googleapis_com:instance_cpu_usage_time > 0",
            ruleGroup: "a test",
        },
        displayName: "test condition",
    }],
    displayName: "My Alert Policy",
});

    resources:
  alertPolicy:
    type: gcp:monitoring:AlertPolicy
    properties:
      alertStrategy:
        autoClose: 1800s
      combiner: OR
      conditions:
        - conditionPrometheusQueryLanguage:
            alertRule: AlwaysOn
            duration: 60s
            evaluationInterval: 60s
            query: compute_googleapis_com:instance_cpu_usage_time > 0
            ruleGroup: a test
          displayName: test condition
      displayName: My Alert Policy

    Create AlertPolicy Resource

    new AlertPolicy(name: string, args: AlertPolicyArgs, opts?: CustomResourceOptions);
    @overload
def AlertPolicy(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                alert_strategy: Optional[AlertPolicyAlertStrategyArgs] = None,
                combiner: Optional[str] = None,
                conditions: Optional[Sequence[AlertPolicyConditionArgs]] = None,
                display_name: Optional[str] = None,
                documentation: Optional[AlertPolicyDocumentationArgs] = None,
                enabled: Optional[bool] = None,
                notification_channels: Optional[Sequence[str]] = None,
                project: Optional[str] = None,
                user_labels: Optional[Mapping[str, str]] = None)
@overload
def AlertPolicy(resource_name: str,
                args: AlertPolicyArgs,
                opts: Optional[ResourceOptions] = None)
    func NewAlertPolicy(ctx *Context, name string, args AlertPolicyArgs, opts ...ResourceOption) (*AlertPolicy, error)
    public AlertPolicy(string name, AlertPolicyArgs args, CustomResourceOptions? opts = null)
    public AlertPolicy(String name, AlertPolicyArgs args)
public AlertPolicy(String name, AlertPolicyArgs args, CustomResourceOptions options)

    type: gcp:monitoring:AlertPolicy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AlertPolicyArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AlertPolicyArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AlertPolicyArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AlertPolicyArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AlertPolicyArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    AlertPolicy Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The AlertPolicy resource accepts the following input properties:

    Combiner string

    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.

    Conditions List<AlertPolicyCondition>

    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.

    DisplayName string

    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.

    AlertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    Documentation AlertPolicyDocumentation

    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.

    Enabled bool

    Whether or not the policy is enabled. The default is true.

    NotificationChannels List<string>

    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]

    Project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    UserLabels Dictionary<string, string>

    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.

    Combiner string

    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.

    Conditions []AlertPolicyConditionArgs

    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.

    DisplayName string

    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.

    AlertStrategy AlertPolicyAlertStrategyArgs

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    Documentation AlertPolicyDocumentationArgs

    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.

    Enabled bool

    Whether or not the policy is enabled. The default is true.

    NotificationChannels []string

    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]

    Project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    UserLabels map[string]string

    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.

    combiner String

    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.

    conditions List<AlertPolicyCondition>

    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.

    displayName String

    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.

    alertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    documentation AlertPolicyDocumentation

    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.

    enabled Boolean

    Whether or not the policy is enabled. The default is true.

    notificationChannels List<String>

    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]

    project String

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels Map<String,String>

    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.

    combiner string

    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.

    conditions AlertPolicyCondition[]

    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.

    displayName string

    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.

    alertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    documentation AlertPolicyDocumentation

    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.

    enabled boolean

    Whether or not the policy is enabled. The default is true.

    notificationChannels string[]

    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]

    project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels {[key: string]: string}

    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.

    combiner str

    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.

    conditions Sequence[AlertPolicyConditionArgs]

    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.

    display_name str

    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.

    alert_strategy AlertPolicyAlertStrategyArgs

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    documentation AlertPolicyDocumentationArgs

    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.

    enabled bool

    Whether or not the policy is enabled. The default is true.

    notification_channels Sequence[str]

    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]

    project str

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    user_labels Mapping[str, str]

    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.

    combiner String

    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.

    conditions List<Property Map>

    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.

    displayName String

    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.

    alertStrategy Property Map

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    documentation Property Map

    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.

    enabled Boolean

    Whether or not the policy is enabled. The default is true.

    notificationChannels List<String>

    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]

    project String

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels Map<String>

    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.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AlertPolicy resource produces the following output properties:

    CreationRecords List<AlertPolicyCreationRecord>

    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.

    Id string

    The provider-assigned unique ID for this managed resource.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    CreationRecords []AlertPolicyCreationRecord

    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.

    Id string

    The provider-assigned unique ID for this managed resource.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    creationRecords List<AlertPolicyCreationRecord>

    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.

    id String

    The provider-assigned unique ID for this managed resource.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    creationRecords AlertPolicyCreationRecord[]

    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.

    id string

    The provider-assigned unique ID for this managed resource.

    name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    creation_records Sequence[AlertPolicyCreationRecord]

    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.

    id str

    The provider-assigned unique ID for this managed resource.

    name str

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    creationRecords List<Property Map>

    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.

    id String

    The provider-assigned unique ID for this managed resource.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    Look up Existing AlertPolicy Resource

    Get an existing AlertPolicy resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AlertPolicyState, opts?: CustomResourceOptions): AlertPolicy
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        alert_strategy: Optional[AlertPolicyAlertStrategyArgs] = None,
        combiner: Optional[str] = None,
        conditions: Optional[Sequence[AlertPolicyConditionArgs]] = None,
        creation_records: Optional[Sequence[AlertPolicyCreationRecordArgs]] = None,
        display_name: Optional[str] = None,
        documentation: Optional[AlertPolicyDocumentationArgs] = None,
        enabled: Optional[bool] = None,
        name: Optional[str] = None,
        notification_channels: Optional[Sequence[str]] = None,
        project: Optional[str] = None,
        user_labels: Optional[Mapping[str, str]] = None) -> AlertPolicy
    func GetAlertPolicy(ctx *Context, name string, id IDInput, state *AlertPolicyState, opts ...ResourceOption) (*AlertPolicy, error)
    public static AlertPolicy Get(string name, Input<string> id, AlertPolicyState? state, CustomResourceOptions? opts = null)
    public static AlertPolicy get(String name, Output<String> id, AlertPolicyState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AlertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    Combiner string

    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.

    Conditions List<AlertPolicyCondition>

    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.

    CreationRecords List<AlertPolicyCreationRecord>

    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.

    DisplayName string

    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.

    Documentation AlertPolicyDocumentation

    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.

    Enabled bool

    Whether or not the policy is enabled. The default is true.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    NotificationChannels List<string>

    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]

    Project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    UserLabels Dictionary<string, string>

    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.

    AlertStrategy AlertPolicyAlertStrategyArgs

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    Combiner string

    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.

    Conditions []AlertPolicyConditionArgs

    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.

    CreationRecords []AlertPolicyCreationRecordArgs

    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.

    DisplayName string

    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.

    Documentation AlertPolicyDocumentationArgs

    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.

    Enabled bool

    Whether or not the policy is enabled. The default is true.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    NotificationChannels []string

    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]

    Project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    UserLabels map[string]string

    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.

    alertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    combiner String

    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.

    conditions List<AlertPolicyCondition>

    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.

    creationRecords List<AlertPolicyCreationRecord>

    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.

    displayName String

    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.

    documentation AlertPolicyDocumentation

    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.

    enabled Boolean

    Whether or not the policy is enabled. The default is true.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    notificationChannels List<String>

    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]

    project String

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels Map<String,String>

    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.

    alertStrategy AlertPolicyAlertStrategy

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    combiner string

    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.

    conditions AlertPolicyCondition[]

    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.

    creationRecords AlertPolicyCreationRecord[]

    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.

    displayName string

    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.

    documentation AlertPolicyDocumentation

    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.

    enabled boolean

    Whether or not the policy is enabled. The default is true.

    name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    notificationChannels string[]

    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]

    project string

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels {[key: string]: string}

    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.

    alert_strategy AlertPolicyAlertStrategyArgs

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    combiner str

    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.

    conditions Sequence[AlertPolicyConditionArgs]

    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.

    creation_records Sequence[AlertPolicyCreationRecordArgs]

    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.

    display_name str

    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.

    documentation AlertPolicyDocumentationArgs

    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.

    enabled bool

    Whether or not the policy is enabled. The default is true.

    name str

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    notification_channels Sequence[str]

    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]

    project str

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    user_labels Mapping[str, str]

    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.

    alertStrategy Property Map

    Control over how this alert policy's notification channels are notified. Structure is documented below.

    combiner String

    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.

    conditions List<Property Map>

    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.

    creationRecords List<Property Map>

    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.

    displayName String

    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.

    documentation Property Map

    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.

    enabled Boolean

    Whether or not the policy is enabled. The default is true.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    notificationChannels List<String>

    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]

    project String

    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    userLabels Map<String>

    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.

    Supporting Types

    AlertPolicyAlertStrategy, AlertPolicyAlertStrategyArgs

    AutoClose string

    If an alert policy that was active has no data for this long, any open incidents will close.

    NotificationChannelStrategies List<AlertPolicyAlertStrategyNotificationChannelStrategy>

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    NotificationRateLimit AlertPolicyAlertStrategyNotificationRateLimit

    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.

    AutoClose string

    If an alert policy that was active has no data for this long, any open incidents will close.

    NotificationChannelStrategies []AlertPolicyAlertStrategyNotificationChannelStrategy

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    NotificationRateLimit AlertPolicyAlertStrategyNotificationRateLimit

    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.

    autoClose String

    If an alert policy that was active has no data for this long, any open incidents will close.

    notificationChannelStrategies List<AlertPolicyAlertStrategyNotificationChannelStrategy>

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    notificationRateLimit AlertPolicyAlertStrategyNotificationRateLimit

    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.

    autoClose string

    If an alert policy that was active has no data for this long, any open incidents will close.

    notificationChannelStrategies AlertPolicyAlertStrategyNotificationChannelStrategy[]

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    notificationRateLimit AlertPolicyAlertStrategyNotificationRateLimit

    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.

    auto_close str

    If an alert policy that was active has no data for this long, any open incidents will close.

    notification_channel_strategies Sequence[AlertPolicyAlertStrategyNotificationChannelStrategy]

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    notification_rate_limit AlertPolicyAlertStrategyNotificationRateLimit

    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.

    autoClose String

    If an alert policy that was active has no data for this long, any open incidents will close.

    notificationChannelStrategies List<Property Map>

    Control over how the notification channels in notification_channels are notified when this alert fires, on a per-channel basis. Structure is documented below.

    notificationRateLimit Property Map

    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.

    AlertPolicyAlertStrategyNotificationChannelStrategy, AlertPolicyAlertStrategyNotificationChannelStrategyArgs

    NotificationChannelNames List<string>

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    RenotifyInterval string

    The frequency at which to send reminder notifications for open incidents.

    NotificationChannelNames []string

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    RenotifyInterval string

    The frequency at which to send reminder notifications for open incidents.

    notificationChannelNames List<String>

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    renotifyInterval String

    The frequency at which to send reminder notifications for open incidents.

    notificationChannelNames string[]

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    renotifyInterval string

    The frequency at which to send reminder notifications for open incidents.

    notification_channel_names Sequence[str]

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    renotify_interval str

    The frequency at which to send reminder notifications for open incidents.

    notificationChannelNames List<String>

    The notification channels that these settings apply to. Each of these correspond to the name field in one of the NotificationChannel objects referenced in the notification_channels field of this AlertPolicy. The format is projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]

    renotifyInterval String

    The frequency at which to send reminder notifications for open incidents.

    AlertPolicyAlertStrategyNotificationRateLimit, AlertPolicyAlertStrategyNotificationRateLimitArgs

    Period string

    Not more than one notification per period.

    Period string

    Not more than one notification per period.

    period String

    Not more than one notification per period.

    period string

    Not more than one notification per period.

    period str

    Not more than one notification per period.

    period String

    Not more than one notification per period.

    AlertPolicyCondition, AlertPolicyConditionArgs

    DisplayName string

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    ConditionAbsent AlertPolicyConditionConditionAbsent

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    ConditionMatchedLog AlertPolicyConditionConditionMatchedLog

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    ConditionMonitoringQueryLanguage AlertPolicyConditionConditionMonitoringQueryLanguage

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    ConditionPrometheusQueryLanguage AlertPolicyConditionConditionPrometheusQueryLanguage

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    ConditionThreshold AlertPolicyConditionConditionThreshold

    A condition that compares a time series against a threshold. Structure is documented below.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    DisplayName string

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    ConditionAbsent AlertPolicyConditionConditionAbsent

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    ConditionMatchedLog AlertPolicyConditionConditionMatchedLog

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    ConditionMonitoringQueryLanguage AlertPolicyConditionConditionMonitoringQueryLanguage

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    ConditionPrometheusQueryLanguage AlertPolicyConditionConditionPrometheusQueryLanguage

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    ConditionThreshold AlertPolicyConditionConditionThreshold

    A condition that compares a time series against a threshold. Structure is documented below.

    Name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    displayName String

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    conditionAbsent AlertPolicyConditionConditionAbsent

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    conditionMatchedLog AlertPolicyConditionConditionMatchedLog

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    conditionMonitoringQueryLanguage AlertPolicyConditionConditionMonitoringQueryLanguage

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    conditionPrometheusQueryLanguage AlertPolicyConditionConditionPrometheusQueryLanguage

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    conditionThreshold AlertPolicyConditionConditionThreshold

    A condition that compares a time series against a threshold. Structure is documented below.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    displayName string

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    conditionAbsent AlertPolicyConditionConditionAbsent

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    conditionMatchedLog AlertPolicyConditionConditionMatchedLog

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    conditionMonitoringQueryLanguage AlertPolicyConditionConditionMonitoringQueryLanguage

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    conditionPrometheusQueryLanguage AlertPolicyConditionConditionPrometheusQueryLanguage

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    conditionThreshold AlertPolicyConditionConditionThreshold

    A condition that compares a time series against a threshold. Structure is documented below.

    name string

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    display_name str

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    condition_absent AlertPolicyConditionConditionAbsent

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    condition_matched_log AlertPolicyConditionConditionMatchedLog

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    condition_monitoring_query_language AlertPolicyConditionConditionMonitoringQueryLanguage

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    condition_prometheus_query_language AlertPolicyConditionConditionPrometheusQueryLanguage

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    condition_threshold AlertPolicyConditionConditionThreshold

    A condition that compares a time series against a threshold. Structure is documented below.

    name str

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    displayName String

    A short name or phrase used to identify the condition in dashboards, notifications, and incidents. To avoid confusion, don't use the same display name for multiple conditions in the same policy.

    conditionAbsent Property Map

    A condition that checks that a time series continues to receive new data points. Structure is documented below.

    conditionMatchedLog Property Map

    A condition that checks for log messages matching given constraints. If set, no other conditions can be present. Structure is documented below.

    conditionMonitoringQueryLanguage Property Map

    A Monitoring Query Language query that outputs a boolean stream Structure is documented below.

    conditionPrometheusQueryLanguage Property Map

    A condition type that allows alert policies to be defined using Prometheus Query Language (PromQL). The PrometheusQueryLanguageCondition message contains information from a Prometheus alerting rule and its associated rule group. Structure is documented below.

    conditionThreshold Property Map

    A condition that compares a time series against a threshold. Structure is documented below.

    name String

    (Output) The unique resource name for this condition. Its syntax is: projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID] [CONDITION_ID] is assigned by Stackdriver Monitoring when the condition is created as part of a new or updated alerting policy.

    AlertPolicyConditionConditionAbsent, AlertPolicyConditionConditionAbsentArgs

    Duration string

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    Aggregations List<AlertPolicyConditionConditionAbsentAggregation>

    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. Structure is documented below.

    Filter string

    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.

    Trigger AlertPolicyConditionConditionAbsentTrigger

    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. Structure is documented below.

    Duration string

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    Aggregations []AlertPolicyConditionConditionAbsentAggregation

    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. Structure is documented below.

    Filter string

    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.

    Trigger AlertPolicyConditionConditionAbsentTrigger

    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. Structure is documented below.

    duration String

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    aggregations List<AlertPolicyConditionConditionAbsentAggregation>

    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. Structure is documented below.

    filter String

    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.

    trigger AlertPolicyConditionConditionAbsentTrigger

    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. Structure is documented below.

    duration string

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    aggregations AlertPolicyConditionConditionAbsentAggregation[]

    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. Structure is documented below.

    filter string

    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.

    trigger AlertPolicyConditionConditionAbsentTrigger

    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. Structure is documented below.

    duration str

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    aggregations Sequence[AlertPolicyConditionConditionAbsentAggregation]

    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. Structure is documented below.

    filter str

    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.

    trigger AlertPolicyConditionConditionAbsentTrigger

    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. Structure is documented below.

    duration String

    The amount of time that a time series must fail to report new data to be considered failing. Currently, only values that are a multiple of a minute--e.g. 60s, 120s, or 300s --are supported.

    aggregations List<Property Map>

    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. Structure is documented below.

    filter String

    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.

    trigger Property Map

    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. Structure is documented below.

    AlertPolicyConditionConditionAbsentAggregation, AlertPolicyConditionConditionAbsentAggregationArgs

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields List<string>

    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.

    PerSeriesAligner string

    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.

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields []string

    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.

    PerSeriesAligner string

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    alignmentPeriod string

    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.

    crossSeriesReducer string

    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.

    groupByFields string[]

    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.

    perSeriesAligner string

    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.

    alignment_period str

    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.

    cross_series_reducer str

    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.

    group_by_fields Sequence[str]

    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.

    per_series_aligner str

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    AlertPolicyConditionConditionAbsentTrigger, AlertPolicyConditionConditionAbsentTriggerArgs

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent float64

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Integer

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent float

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    AlertPolicyConditionConditionMatchedLog, AlertPolicyConditionConditionMatchedLogArgs

    Filter string

    A logs-based filter.

    LabelExtractors Dictionary<string, string>

    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.

    Filter string

    A logs-based filter.

    LabelExtractors map[string]string

    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.

    filter String

    A logs-based filter.

    labelExtractors Map<String,String>

    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.

    filter string

    A logs-based filter.

    labelExtractors {[key: string]: string}

    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.

    filter str

    A logs-based filter.

    label_extractors Mapping[str, str]

    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.

    filter String

    A logs-based filter.

    labelExtractors Map<String>

    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.

    AlertPolicyConditionConditionMonitoringQueryLanguage, AlertPolicyConditionConditionMonitoringQueryLanguageArgs

    Duration string

    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.

    Query string

    Monitoring Query Language query that outputs a boolean stream.

    EvaluationMissingData string

    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.

    Trigger AlertPolicyConditionConditionMonitoringQueryLanguageTrigger

    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.

    Duration string

    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.

    Query string

    Monitoring Query Language query that outputs a boolean stream.

    EvaluationMissingData string

    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.

    Trigger AlertPolicyConditionConditionMonitoringQueryLanguageTrigger

    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.

    duration String

    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.

    query String

    Monitoring Query Language query that outputs a boolean stream.

    evaluationMissingData String

    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.

    trigger AlertPolicyConditionConditionMonitoringQueryLanguageTrigger

    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.

    duration string

    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.

    query string

    Monitoring Query Language query that outputs a boolean stream.

    evaluationMissingData string

    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.

    trigger AlertPolicyConditionConditionMonitoringQueryLanguageTrigger

    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.

    duration str

    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.

    query str

    Monitoring Query Language query that outputs a boolean stream.

    evaluation_missing_data str

    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.

    trigger AlertPolicyConditionConditionMonitoringQueryLanguageTrigger

    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.

    duration String

    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.

    query String

    Monitoring Query Language query that outputs a boolean stream.

    evaluationMissingData String

    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.

    trigger Property Map

    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.

    AlertPolicyConditionConditionMonitoringQueryLanguageTrigger, AlertPolicyConditionConditionMonitoringQueryLanguageTriggerArgs

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent float64

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Integer

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent float

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    AlertPolicyConditionConditionPrometheusQueryLanguage, AlertPolicyConditionConditionPrometheusQueryLanguageArgs

    Query string

    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.

    AlertRule string

    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.

    Duration string

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    EvaluationInterval string

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    Labels Dictionary<string, string>

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    RuleGroup string

    The rule group 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.

    Query string

    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.

    AlertRule string

    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.

    Duration string

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    EvaluationInterval string

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    Labels map[string]string

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    RuleGroup string

    The rule group 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.

    query String

    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.

    alertRule String

    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.

    duration String

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    evaluationInterval String

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    labels Map<String,String>

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    ruleGroup String

    The rule group 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.

    query string

    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.

    alertRule string

    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.

    duration string

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    evaluationInterval string

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    labels {[key: string]: string}

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    ruleGroup string

    The rule group 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.

    query str

    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.

    alert_rule str

    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.

    duration str

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    evaluation_interval str

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    labels Mapping[str, str]

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    rule_group str

    The rule group 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.

    query String

    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.

    alertRule String

    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.

    duration String

    Alerts are considered firing once their PromQL expression evaluated to be "true" for this long. Alerts whose PromQL expression was not evaluated to be "true" for long enough are considered pending. The default value is zero. Must be zero or positive.

    evaluationInterval String

    How often this rule should be evaluated. Must be a positive multiple of 30 seconds or missing. The default value is 30 seconds. If this PrometheusQueryLanguageCondition was generated from a Prometheus alerting rule, then this value should be taken from the enclosing rule group.

    labels Map<String>

    Labels to add to or overwrite in the PromQL query result. Label names must be valid. Label values can be templatized by using variables. The only available variable names are the names of the labels in the PromQL result, including "name" and "value". "labels" may be empty. This field is intended to be used for organizing and identifying the AlertPolicy

    ruleGroup String

    The rule group 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.

    AlertPolicyConditionConditionThreshold, AlertPolicyConditionConditionThresholdArgs

    Comparison string

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    Duration string

    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.

    Aggregations List<AlertPolicyConditionConditionThresholdAggregation>

    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.

    DenominatorAggregations List<AlertPolicyConditionConditionThresholdDenominatorAggregation>

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    DenominatorFilter string

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    EvaluationMissingData string

    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.

    Filter string

    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.

    ForecastOptions AlertPolicyConditionConditionThresholdForecastOptions

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    ThresholdValue double

    A value against which to compare the time series.

    Trigger AlertPolicyConditionConditionThresholdTrigger

    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.

    Comparison string

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    Duration string

    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.

    Aggregations []AlertPolicyConditionConditionThresholdAggregation

    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.

    DenominatorAggregations []AlertPolicyConditionConditionThresholdDenominatorAggregation

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    DenominatorFilter string

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    EvaluationMissingData string

    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.

    Filter string

    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.

    ForecastOptions AlertPolicyConditionConditionThresholdForecastOptions

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    ThresholdValue float64

    A value against which to compare the time series.

    Trigger AlertPolicyConditionConditionThresholdTrigger

    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.

    comparison String

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    duration String

    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.

    aggregations List<AlertPolicyConditionConditionThresholdAggregation>

    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.

    denominatorAggregations List<AlertPolicyConditionConditionThresholdDenominatorAggregation>

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    denominatorFilter String

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    evaluationMissingData String

    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.

    filter String

    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.

    forecastOptions AlertPolicyConditionConditionThresholdForecastOptions

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    thresholdValue Double

    A value against which to compare the time series.

    trigger AlertPolicyConditionConditionThresholdTrigger

    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.

    comparison string

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    duration string

    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.

    aggregations AlertPolicyConditionConditionThresholdAggregation[]

    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.

    denominatorAggregations AlertPolicyConditionConditionThresholdDenominatorAggregation[]

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    denominatorFilter string

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    evaluationMissingData string

    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.

    filter string

    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.

    forecastOptions AlertPolicyConditionConditionThresholdForecastOptions

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    thresholdValue number

    A value against which to compare the time series.

    trigger AlertPolicyConditionConditionThresholdTrigger

    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.

    comparison str

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    duration str

    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.

    aggregations Sequence[AlertPolicyConditionConditionThresholdAggregation]

    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.

    denominator_aggregations Sequence[AlertPolicyConditionConditionThresholdDenominatorAggregation]

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    denominator_filter str

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    evaluation_missing_data str

    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.

    filter str

    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.

    forecast_options AlertPolicyConditionConditionThresholdForecastOptions

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    threshold_value float

    A value against which to compare the time series.

    trigger AlertPolicyConditionConditionThresholdTrigger

    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.

    comparison String

    The comparison to apply between the time series (indicated by filter and aggregation) and the threshold (indicated by threshold_value). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only COMPARISON_LT and COMPARISON_GT are supported currently. Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.

    duration String

    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.

    aggregations List<Property Map>

    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.

    denominatorAggregations List<Property Map>

    Specifies the alignment of data points in individual time series selected by denominatorFilter 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).When computing ratios, the aggregations and denominator_aggregations fields must use the same alignment period and produce time series that have the same periodicity and labels.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.

    denominatorFilter String

    A filter that identifies a time series that should be used as the denominator of a ratio that will be compared with the threshold. If a denominator_filter is specified, the time series specified by the filter field will be used as the numerator.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.

    evaluationMissingData String

    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.

    filter String

    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.

    forecastOptions Property Map

    When this field is present, the MetricThreshold condition forecasts whether the time series is predicted to violate the threshold within the forecastHorizon. When this field is not set, the MetricThreshold tests the current value of the timeseries against the threshold. Structure is documented below.

    thresholdValue Number

    A value against which to compare the time series.

    trigger Property Map

    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.

    AlertPolicyConditionConditionThresholdAggregation, AlertPolicyConditionConditionThresholdAggregationArgs

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields List<string>

    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.

    PerSeriesAligner string

    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.

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields []string

    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.

    PerSeriesAligner string

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    alignmentPeriod string

    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.

    crossSeriesReducer string

    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.

    groupByFields string[]

    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.

    perSeriesAligner string

    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.

    alignment_period str

    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.

    cross_series_reducer str

    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.

    group_by_fields Sequence[str]

    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.

    per_series_aligner str

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    AlertPolicyConditionConditionThresholdDenominatorAggregation, AlertPolicyConditionConditionThresholdDenominatorAggregationArgs

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields List<string>

    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.

    PerSeriesAligner string

    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.

    AlignmentPeriod string

    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.

    CrossSeriesReducer string

    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.

    GroupByFields []string

    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.

    PerSeriesAligner string

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    alignmentPeriod string

    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.

    crossSeriesReducer string

    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.

    groupByFields string[]

    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.

    perSeriesAligner string

    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.

    alignment_period str

    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.

    cross_series_reducer str

    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.

    group_by_fields Sequence[str]

    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.

    per_series_aligner str

    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.

    alignmentPeriod String

    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.

    crossSeriesReducer String

    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.

    groupByFields List<String>

    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.

    perSeriesAligner String

    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.

    AlertPolicyConditionConditionThresholdForecastOptions, AlertPolicyConditionConditionThresholdForecastOptionsArgs

    ForecastHorizon string

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    ForecastHorizon string

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    forecastHorizon String

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    forecastHorizon string

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    forecast_horizon str

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    forecastHorizon String

    The length of time into the future to forecast whether a timeseries will violate the threshold. If the predicted value is found to violate the threshold, and the violation is observed in all forecasts made for the Configured duration, then the timeseries is considered to be failing.

    AlertPolicyConditionConditionThresholdTrigger, AlertPolicyConditionConditionThresholdTriggerArgs

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    Count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    Percent float64

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Integer

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Double

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count int

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent float

    The percentage of time series that must fail the predicate for the condition to be triggered.

    count Number

    The absolute number of time series that must fail the predicate for the condition to be triggered.

    percent Number

    The percentage of time series that must fail the predicate for the condition to be triggered.

    AlertPolicyCreationRecord, AlertPolicyCreationRecordArgs

    MutateTime string

    (Output) When the change occurred.

    MutatedBy string

    (Output) The email address of the user making the change.

    MutateTime string

    (Output) When the change occurred.

    MutatedBy string

    (Output) The email address of the user making the change.

    mutateTime String

    (Output) When the change occurred.

    mutatedBy String

    (Output) The email address of the user making the change.

    mutateTime string

    (Output) When the change occurred.

    mutatedBy string

    (Output) The email address of the user making the change.

    mutate_time str

    (Output) When the change occurred.

    mutated_by str

    (Output) The email address of the user making the change.

    mutateTime String

    (Output) When the change occurred.

    mutatedBy String

    (Output) The email address of the user making the change.

    AlertPolicyDocumentation, AlertPolicyDocumentationArgs

    Content string

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    MimeType string

    The format of the content field. Presently, only the value "text/markdown" is supported.

    Subject string

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    Content string

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    MimeType string

    The format of the content field. Presently, only the value "text/markdown" is supported.

    Subject string

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    content String

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    mimeType String

    The format of the content field. Presently, only the value "text/markdown" is supported.

    subject String

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    content string

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    mimeType string

    The format of the content field. Presently, only the value "text/markdown" is supported.

    subject string

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    content str

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    mime_type str

    The format of the content field. Presently, only the value "text/markdown" is supported.

    subject str

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    content String

    The text of the documentation, interpreted according to mimeType. The content may not exceed 8,192 Unicode characters and may not exceed more than 10,240 bytes when encoded in UTF-8 format, whichever is smaller.

    mimeType String

    The format of the content field. Presently, only the value "text/markdown" is supported.

    subject String

    The subject line of the notification. The subject line may not exceed 10,240 bytes. In notifications generated by this policy the contents of the subject line after variable expansion will be truncated to 255 bytes or shorter at the latest UTF-8 character boundary.

    Import

    AlertPolicy can be imported using any of these accepted formats* {{name}} In Terraform v1.5.0 and later, use an import block to import AlertPolicy using one of the formats above. For exampletf import {

    id = “{{name}}”

    to = google_monitoring_alert_policy.default }

     $ pulumi import gcp:monitoring/alertPolicy:AlertPolicy When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), AlertPolicy can be imported using one of the formats above. For example

     $ pulumi import gcp:monitoring/alertPolicy:AlertPolicy default {{name}}

    Package Details

    Repository
    Google Cloud (GCP) Classic pulumi/pulumi-gcp
    License
    Apache-2.0
    Notes

    This Pulumi package is based on the google-beta Terraform Provider.

    gcp logo
    Google Cloud Classic v7.2.1 published on Wednesday, Nov 22, 2023 by Pulumi
    pulumi/pulumi-gcp