Dynatrace v0.17.0 published on Tuesday, Oct 8, 2024 by Pulumiverse
dynatrace.CustomAnomalies
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Create CustomAnomalies Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new CustomAnomalies(name: string, args: CustomAnomaliesArgs, opts?: CustomResourceOptions);
@overload
def CustomAnomalies(resource_name: str,
args: CustomAnomaliesArgs,
opts: Optional[ResourceOptions] = None)
@overload
def CustomAnomalies(resource_name: str,
opts: Optional[ResourceOptions] = None,
enabled: Optional[bool] = None,
description: Optional[str] = None,
strategy: Optional[CustomAnomaliesStrategyArgs] = None,
metric_selector: Optional[str] = None,
disabled_reason: Optional[str] = None,
metric_id: Optional[str] = None,
aggregation_type: Optional[str] = None,
name: Optional[str] = None,
primary_dimension_key: Optional[str] = None,
scopes: Optional[Sequence[CustomAnomaliesScopeArgs]] = None,
severity: Optional[str] = None,
dimensions: Optional[Sequence[CustomAnomaliesDimensionArgs]] = None,
unknowns: Optional[str] = None,
warning_reason: Optional[str] = None)
func NewCustomAnomalies(ctx *Context, name string, args CustomAnomaliesArgs, opts ...ResourceOption) (*CustomAnomalies, error)
public CustomAnomalies(string name, CustomAnomaliesArgs args, CustomResourceOptions? opts = null)
public CustomAnomalies(String name, CustomAnomaliesArgs args)
public CustomAnomalies(String name, CustomAnomaliesArgs args, CustomResourceOptions options)
type: dynatrace:CustomAnomalies
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args CustomAnomaliesArgs
- 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 CustomAnomaliesArgs
- 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 CustomAnomaliesArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args CustomAnomaliesArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args CustomAnomaliesArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var customAnomaliesResource = new Dynatrace.CustomAnomalies("customAnomaliesResource", new()
{
Enabled = false,
Description = "string",
Strategy = new Dynatrace.Inputs.CustomAnomaliesStrategyArgs
{
Auto = new Dynatrace.Inputs.CustomAnomaliesStrategyAutoArgs
{
AlertCondition = "string",
DealertingSamples = 0,
Samples = 0,
SignalFluctuations = 0,
ViolatingSamples = 0,
AlertingOnMissingData = false,
Unknowns = "string",
},
Generics = new[]
{
new Dynatrace.Inputs.CustomAnomaliesStrategyGenericArgs
{
Type = "string",
Unknowns = "string",
},
},
Static = new Dynatrace.Inputs.CustomAnomaliesStrategyStaticArgs
{
AlertCondition = "string",
DealertingSamples = 0,
Samples = 0,
Threshold = 0,
Unit = "string",
ViolatingSamples = 0,
AlertingOnMissingData = false,
Unknowns = "string",
},
},
MetricSelector = "string",
MetricId = "string",
AggregationType = "string",
Name = "string",
PrimaryDimensionKey = "string",
Scopes = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeArgs
{
CustomDeviceGroupNames = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeCustomDeviceGroupNameArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeCustomDeviceGroupNameFilterArgs
{
Operator = "string",
Value = "string",
},
Unknowns = "string",
},
},
Entities = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeEntityArgs
{
Id = "string",
Unknowns = "string",
},
},
HostGroupNames = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeHostGroupNameArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeHostGroupNameFilterArgs
{
Operator = "string",
Value = "string",
},
Unknowns = "string",
},
},
HostNames = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeHostNameArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeHostNameFilterArgs
{
Operator = "string",
Value = "string",
},
Unknowns = "string",
},
},
ManagementZones = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeManagementZoneArgs
{
Id = "string",
Unknowns = "string",
},
},
Names = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeNameArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeNameFilterArgs
{
Operator = "string",
Value = "string",
},
Unknowns = "string",
},
},
ProcessGroupIds = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeProcessGroupIdArgs
{
Id = "string",
Unknowns = "string",
},
},
ProcessGroupNames = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeProcessGroupNameArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeProcessGroupNameFilterArgs
{
Operator = "string",
Value = "string",
},
Unknowns = "string",
},
},
Scopes = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeScopeArgs
{
Type = "string",
Unknowns = "string",
},
},
Tags = new[]
{
new Dynatrace.Inputs.CustomAnomaliesScopeTagArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesScopeTagFilterArgs
{
Context = "string",
Key = "string",
Value = "string",
},
Unknowns = "string",
},
},
},
},
Severity = "string",
Dimensions = new[]
{
new Dynatrace.Inputs.CustomAnomaliesDimensionArgs
{
Dimensions = new[]
{
new Dynatrace.Inputs.CustomAnomaliesDimensionDimensionArgs
{
Type = "string",
Index = 0,
Key = "string",
Name = "string",
Unknowns = "string",
},
},
Entities = new[]
{
new Dynatrace.Inputs.CustomAnomaliesDimensionEntityArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesDimensionEntityFilterArgs
{
Operator = "string",
Value = "string",
},
Key = "string",
Unknowns = "string",
},
},
Strings = new[]
{
new Dynatrace.Inputs.CustomAnomaliesDimensionStringArgs
{
Filter = new Dynatrace.Inputs.CustomAnomaliesDimensionStringFilterArgs
{
Operator = "string",
Value = "string",
},
Index = 0,
Key = "string",
Name = "string",
Unknowns = "string",
},
},
},
},
Unknowns = "string",
});
example, err := dynatrace.NewCustomAnomalies(ctx, "customAnomaliesResource", &dynatrace.CustomAnomaliesArgs{
Enabled: pulumi.Bool(false),
Description: pulumi.String("string"),
Strategy: &dynatrace.CustomAnomaliesStrategyArgs{
Auto: &dynatrace.CustomAnomaliesStrategyAutoArgs{
AlertCondition: pulumi.String("string"),
DealertingSamples: pulumi.Int(0),
Samples: pulumi.Int(0),
SignalFluctuations: pulumi.Float64(0),
ViolatingSamples: pulumi.Int(0),
AlertingOnMissingData: pulumi.Bool(false),
Unknowns: pulumi.String("string"),
},
Generics: dynatrace.CustomAnomaliesStrategyGenericArray{
&dynatrace.CustomAnomaliesStrategyGenericArgs{
Type: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
Static: &dynatrace.CustomAnomaliesStrategyStaticArgs{
AlertCondition: pulumi.String("string"),
DealertingSamples: pulumi.Int(0),
Samples: pulumi.Int(0),
Threshold: pulumi.Float64(0),
Unit: pulumi.String("string"),
ViolatingSamples: pulumi.Int(0),
AlertingOnMissingData: pulumi.Bool(false),
Unknowns: pulumi.String("string"),
},
},
MetricSelector: pulumi.String("string"),
MetricId: pulumi.String("string"),
AggregationType: pulumi.String("string"),
Name: pulumi.String("string"),
PrimaryDimensionKey: pulumi.String("string"),
Scopes: dynatrace.CustomAnomaliesScopeArray{
&dynatrace.CustomAnomaliesScopeArgs{
CustomDeviceGroupNames: dynatrace.CustomAnomaliesScopeCustomDeviceGroupNameArray{
&dynatrace.CustomAnomaliesScopeCustomDeviceGroupNameArgs{
Filter: &dynatrace.CustomAnomaliesScopeCustomDeviceGroupNameFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
Entities: dynatrace.CustomAnomaliesScopeEntityArray{
&dynatrace.CustomAnomaliesScopeEntityArgs{
Id: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
HostGroupNames: dynatrace.CustomAnomaliesScopeHostGroupNameArray{
&dynatrace.CustomAnomaliesScopeHostGroupNameArgs{
Filter: &dynatrace.CustomAnomaliesScopeHostGroupNameFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
HostNames: dynatrace.CustomAnomaliesScopeHostNameArray{
&dynatrace.CustomAnomaliesScopeHostNameArgs{
Filter: &dynatrace.CustomAnomaliesScopeHostNameFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
ManagementZones: dynatrace.CustomAnomaliesScopeManagementZoneArray{
&dynatrace.CustomAnomaliesScopeManagementZoneArgs{
Id: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
Names: dynatrace.CustomAnomaliesScopeNameArray{
&dynatrace.CustomAnomaliesScopeNameArgs{
Filter: &dynatrace.CustomAnomaliesScopeNameFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
ProcessGroupIds: dynatrace.CustomAnomaliesScopeProcessGroupIdArray{
&dynatrace.CustomAnomaliesScopeProcessGroupIdArgs{
Id: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
ProcessGroupNames: dynatrace.CustomAnomaliesScopeProcessGroupNameArray{
&dynatrace.CustomAnomaliesScopeProcessGroupNameArgs{
Filter: &dynatrace.CustomAnomaliesScopeProcessGroupNameFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
Scopes: dynatrace.CustomAnomaliesScopeScopeArray{
&dynatrace.CustomAnomaliesScopeScopeArgs{
Type: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
Tags: dynatrace.CustomAnomaliesScopeTagArray{
&dynatrace.CustomAnomaliesScopeTagArgs{
Filter: &dynatrace.CustomAnomaliesScopeTagFilterArgs{
Context: pulumi.String("string"),
Key: pulumi.String("string"),
Value: pulumi.String("string"),
},
Unknowns: pulumi.String("string"),
},
},
},
},
Severity: pulumi.String("string"),
Dimensions: dynatrace.CustomAnomaliesDimensionArray{
&dynatrace.CustomAnomaliesDimensionArgs{
Dimensions: dynatrace.CustomAnomaliesDimensionDimensionArray{
&dynatrace.CustomAnomaliesDimensionDimensionArgs{
Type: pulumi.String("string"),
Index: pulumi.Int(0),
Key: pulumi.String("string"),
Name: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
Entities: dynatrace.CustomAnomaliesDimensionEntityArray{
&dynatrace.CustomAnomaliesDimensionEntityArgs{
Filter: &dynatrace.CustomAnomaliesDimensionEntityFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Key: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
Strings: dynatrace.CustomAnomaliesDimensionStringArray{
&dynatrace.CustomAnomaliesDimensionStringArgs{
Filter: &dynatrace.CustomAnomaliesDimensionStringFilterArgs{
Operator: pulumi.String("string"),
Value: pulumi.String("string"),
},
Index: pulumi.Int(0),
Key: pulumi.String("string"),
Name: pulumi.String("string"),
Unknowns: pulumi.String("string"),
},
},
},
},
Unknowns: pulumi.String("string"),
})
var customAnomaliesResource = new CustomAnomalies("customAnomaliesResource", CustomAnomaliesArgs.builder()
.enabled(false)
.description("string")
.strategy(CustomAnomaliesStrategyArgs.builder()
.auto(CustomAnomaliesStrategyAutoArgs.builder()
.alertCondition("string")
.dealertingSamples(0)
.samples(0)
.signalFluctuations(0)
.violatingSamples(0)
.alertingOnMissingData(false)
.unknowns("string")
.build())
.generics(CustomAnomaliesStrategyGenericArgs.builder()
.type("string")
.unknowns("string")
.build())
.static_(CustomAnomaliesStrategyStaticArgs.builder()
.alertCondition("string")
.dealertingSamples(0)
.samples(0)
.threshold(0)
.unit("string")
.violatingSamples(0)
.alertingOnMissingData(false)
.unknowns("string")
.build())
.build())
.metricSelector("string")
.metricId("string")
.aggregationType("string")
.name("string")
.primaryDimensionKey("string")
.scopes(CustomAnomaliesScopeArgs.builder()
.customDeviceGroupNames(CustomAnomaliesScopeCustomDeviceGroupNameArgs.builder()
.filter(CustomAnomaliesScopeCustomDeviceGroupNameFilterArgs.builder()
.operator("string")
.value("string")
.build())
.unknowns("string")
.build())
.entities(CustomAnomaliesScopeEntityArgs.builder()
.id("string")
.unknowns("string")
.build())
.hostGroupNames(CustomAnomaliesScopeHostGroupNameArgs.builder()
.filter(CustomAnomaliesScopeHostGroupNameFilterArgs.builder()
.operator("string")
.value("string")
.build())
.unknowns("string")
.build())
.hostNames(CustomAnomaliesScopeHostNameArgs.builder()
.filter(CustomAnomaliesScopeHostNameFilterArgs.builder()
.operator("string")
.value("string")
.build())
.unknowns("string")
.build())
.managementZones(CustomAnomaliesScopeManagementZoneArgs.builder()
.id("string")
.unknowns("string")
.build())
.names(CustomAnomaliesScopeNameArgs.builder()
.filter(CustomAnomaliesScopeNameFilterArgs.builder()
.operator("string")
.value("string")
.build())
.unknowns("string")
.build())
.processGroupIds(CustomAnomaliesScopeProcessGroupIdArgs.builder()
.id("string")
.unknowns("string")
.build())
.processGroupNames(CustomAnomaliesScopeProcessGroupNameArgs.builder()
.filter(CustomAnomaliesScopeProcessGroupNameFilterArgs.builder()
.operator("string")
.value("string")
.build())
.unknowns("string")
.build())
.scopes(CustomAnomaliesScopeScopeArgs.builder()
.type("string")
.unknowns("string")
.build())
.tags(CustomAnomaliesScopeTagArgs.builder()
.filter(CustomAnomaliesScopeTagFilterArgs.builder()
.context("string")
.key("string")
.value("string")
.build())
.unknowns("string")
.build())
.build())
.severity("string")
.dimensions(CustomAnomaliesDimensionArgs.builder()
.dimensions(CustomAnomaliesDimensionDimensionArgs.builder()
.type("string")
.index(0)
.key("string")
.name("string")
.unknowns("string")
.build())
.entities(CustomAnomaliesDimensionEntityArgs.builder()
.filter(CustomAnomaliesDimensionEntityFilterArgs.builder()
.operator("string")
.value("string")
.build())
.key("string")
.unknowns("string")
.build())
.strings(CustomAnomaliesDimensionStringArgs.builder()
.filter(CustomAnomaliesDimensionStringFilterArgs.builder()
.operator("string")
.value("string")
.build())
.index(0)
.key("string")
.name("string")
.unknowns("string")
.build())
.build())
.unknowns("string")
.build());
custom_anomalies_resource = dynatrace.CustomAnomalies("customAnomaliesResource",
enabled=False,
description="string",
strategy=dynatrace.CustomAnomaliesStrategyArgs(
auto=dynatrace.CustomAnomaliesStrategyAutoArgs(
alert_condition="string",
dealerting_samples=0,
samples=0,
signal_fluctuations=0,
violating_samples=0,
alerting_on_missing_data=False,
unknowns="string",
),
generics=[dynatrace.CustomAnomaliesStrategyGenericArgs(
type="string",
unknowns="string",
)],
static=dynatrace.CustomAnomaliesStrategyStaticArgs(
alert_condition="string",
dealerting_samples=0,
samples=0,
threshold=0,
unit="string",
violating_samples=0,
alerting_on_missing_data=False,
unknowns="string",
),
),
metric_selector="string",
metric_id="string",
aggregation_type="string",
name="string",
primary_dimension_key="string",
scopes=[dynatrace.CustomAnomaliesScopeArgs(
custom_device_group_names=[dynatrace.CustomAnomaliesScopeCustomDeviceGroupNameArgs(
filter=dynatrace.CustomAnomaliesScopeCustomDeviceGroupNameFilterArgs(
operator="string",
value="string",
),
unknowns="string",
)],
entities=[dynatrace.CustomAnomaliesScopeEntityArgs(
id="string",
unknowns="string",
)],
host_group_names=[dynatrace.CustomAnomaliesScopeHostGroupNameArgs(
filter=dynatrace.CustomAnomaliesScopeHostGroupNameFilterArgs(
operator="string",
value="string",
),
unknowns="string",
)],
host_names=[dynatrace.CustomAnomaliesScopeHostNameArgs(
filter=dynatrace.CustomAnomaliesScopeHostNameFilterArgs(
operator="string",
value="string",
),
unknowns="string",
)],
management_zones=[dynatrace.CustomAnomaliesScopeManagementZoneArgs(
id="string",
unknowns="string",
)],
names=[dynatrace.CustomAnomaliesScopeNameArgs(
filter=dynatrace.CustomAnomaliesScopeNameFilterArgs(
operator="string",
value="string",
),
unknowns="string",
)],
process_group_ids=[dynatrace.CustomAnomaliesScopeProcessGroupIdArgs(
id="string",
unknowns="string",
)],
process_group_names=[dynatrace.CustomAnomaliesScopeProcessGroupNameArgs(
filter=dynatrace.CustomAnomaliesScopeProcessGroupNameFilterArgs(
operator="string",
value="string",
),
unknowns="string",
)],
scopes=[dynatrace.CustomAnomaliesScopeScopeArgs(
type="string",
unknowns="string",
)],
tags=[dynatrace.CustomAnomaliesScopeTagArgs(
filter=dynatrace.CustomAnomaliesScopeTagFilterArgs(
context="string",
key="string",
value="string",
),
unknowns="string",
)],
)],
severity="string",
dimensions=[dynatrace.CustomAnomaliesDimensionArgs(
dimensions=[dynatrace.CustomAnomaliesDimensionDimensionArgs(
type="string",
index=0,
key="string",
name="string",
unknowns="string",
)],
entities=[dynatrace.CustomAnomaliesDimensionEntityArgs(
filter=dynatrace.CustomAnomaliesDimensionEntityFilterArgs(
operator="string",
value="string",
),
key="string",
unknowns="string",
)],
strings=[dynatrace.CustomAnomaliesDimensionStringArgs(
filter=dynatrace.CustomAnomaliesDimensionStringFilterArgs(
operator="string",
value="string",
),
index=0,
key="string",
name="string",
unknowns="string",
)],
)],
unknowns="string")
const customAnomaliesResource = new dynatrace.CustomAnomalies("customAnomaliesResource", {
enabled: false,
description: "string",
strategy: {
auto: {
alertCondition: "string",
dealertingSamples: 0,
samples: 0,
signalFluctuations: 0,
violatingSamples: 0,
alertingOnMissingData: false,
unknowns: "string",
},
generics: [{
type: "string",
unknowns: "string",
}],
static: {
alertCondition: "string",
dealertingSamples: 0,
samples: 0,
threshold: 0,
unit: "string",
violatingSamples: 0,
alertingOnMissingData: false,
unknowns: "string",
},
},
metricSelector: "string",
metricId: "string",
aggregationType: "string",
name: "string",
primaryDimensionKey: "string",
scopes: [{
customDeviceGroupNames: [{
filter: {
operator: "string",
value: "string",
},
unknowns: "string",
}],
entities: [{
id: "string",
unknowns: "string",
}],
hostGroupNames: [{
filter: {
operator: "string",
value: "string",
},
unknowns: "string",
}],
hostNames: [{
filter: {
operator: "string",
value: "string",
},
unknowns: "string",
}],
managementZones: [{
id: "string",
unknowns: "string",
}],
names: [{
filter: {
operator: "string",
value: "string",
},
unknowns: "string",
}],
processGroupIds: [{
id: "string",
unknowns: "string",
}],
processGroupNames: [{
filter: {
operator: "string",
value: "string",
},
unknowns: "string",
}],
scopes: [{
type: "string",
unknowns: "string",
}],
tags: [{
filter: {
context: "string",
key: "string",
value: "string",
},
unknowns: "string",
}],
}],
severity: "string",
dimensions: [{
dimensions: [{
type: "string",
index: 0,
key: "string",
name: "string",
unknowns: "string",
}],
entities: [{
filter: {
operator: "string",
value: "string",
},
key: "string",
unknowns: "string",
}],
strings: [{
filter: {
operator: "string",
value: "string",
},
index: 0,
key: "string",
name: "string",
unknowns: "string",
}],
}],
unknowns: "string",
});
type: dynatrace:CustomAnomalies
properties:
aggregationType: string
description: string
dimensions:
- dimensions:
- index: 0
key: string
name: string
type: string
unknowns: string
entities:
- filter:
operator: string
value: string
key: string
unknowns: string
strings:
- filter:
operator: string
value: string
index: 0
key: string
name: string
unknowns: string
enabled: false
metricId: string
metricSelector: string
name: string
primaryDimensionKey: string
scopes:
- customDeviceGroupNames:
- filter:
operator: string
value: string
unknowns: string
entities:
- id: string
unknowns: string
hostGroupNames:
- filter:
operator: string
value: string
unknowns: string
hostNames:
- filter:
operator: string
value: string
unknowns: string
managementZones:
- id: string
unknowns: string
names:
- filter:
operator: string
value: string
unknowns: string
processGroupIds:
- id: string
unknowns: string
processGroupNames:
- filter:
operator: string
value: string
unknowns: string
scopes:
- type: string
unknowns: string
tags:
- filter:
context: string
key: string
value: string
unknowns: string
severity: string
strategy:
auto:
alertCondition: string
alertingOnMissingData: false
dealertingSamples: 0
samples: 0
signalFluctuations: 0
unknowns: string
violatingSamples: 0
generics:
- type: string
unknowns: string
static:
alertCondition: string
alertingOnMissingData: false
dealertingSamples: 0
samples: 0
threshold: 0
unit: string
unknowns: string
violatingSamples: 0
unknowns: string
CustomAnomalies 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 CustomAnomalies resource accepts the following input properties:
- Description string
- The description of the metric event
- Enabled bool
- The metric event is enabled (
true
) or disabled (false
) - Strategy
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- Aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- Dimensions
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension> - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- Disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- Metric
Id string - The ID of the metric evaluated by the metric event
- Metric
Selector string - The metric selector that should be executed
- Name string
- The name of the metric event displayed in the UI
- Primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- Scopes
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope> - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- Severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- Description string
- The description of the metric event
- Enabled bool
- The metric event is enabled (
true
) or disabled (false
) - Strategy
Custom
Anomalies Strategy Args - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- Aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- Dimensions
[]Custom
Anomalies Dimension Args - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- Disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- Metric
Id string - The ID of the metric evaluated by the metric event
- Metric
Selector string - The metric selector that should be executed
- Name string
- The name of the metric event displayed in the UI
- Primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- Scopes
[]Custom
Anomalies Scope Args - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- Severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- description String
- The description of the metric event
- enabled Boolean
- The metric event is enabled (
true
) or disabled (false
) - strategy
Custom
Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- aggregation
Type String - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- dimensions
List<Custom
Anomalies Dimension> - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason String - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- metric
Id String - The ID of the metric evaluated by the metric event
- metric
Selector String - The metric selector that should be executed
- name String
- The name of the metric event displayed in the UI
- primary
Dimension StringKey - Defines which dimension key should be used for the alertingScope
- scopes
List<Custom
Anomalies Scope> - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity String
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason String - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- description string
- The description of the metric event
- enabled boolean
- The metric event is enabled (
true
) or disabled (false
) - strategy
Custom
Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- dimensions
Custom
Anomalies Dimension[] - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- metric
Id string - The ID of the metric evaluated by the metric event
- metric
Selector string - The metric selector that should be executed
- name string
- The name of the metric event displayed in the UI
- primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- scopes
Custom
Anomalies Scope[] - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- description str
- The description of the metric event
- enabled bool
- The metric event is enabled (
true
) or disabled (false
) - strategy
Custom
Anomalies Strategy Args - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- aggregation_
type str - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- dimensions
Sequence[Custom
Anomalies Dimension Args] - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled_
reason str - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- metric_
id str - The ID of the metric evaluated by the metric event
- metric_
selector str - The metric selector that should be executed
- name str
- The name of the metric event displayed in the UI
- primary_
dimension_ strkey - Defines which dimension key should be used for the alertingScope
- scopes
Sequence[Custom
Anomalies Scope Args] - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity str
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning_
reason str - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- description String
- The description of the metric event
- enabled Boolean
- The metric event is enabled (
true
) or disabled (false
) - strategy Property Map
- A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- aggregation
Type String - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- dimensions List<Property Map>
- Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason String - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- metric
Id String - The ID of the metric evaluated by the metric event
- metric
Selector String - The metric selector that should be executed
- name String
- The name of the metric event displayed in the UI
- primary
Dimension StringKey - Defines which dimension key should be used for the alertingScope
- scopes List<Property Map>
- Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity String
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason String - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
Outputs
All input properties are implicitly available as output properties. Additionally, the CustomAnomalies resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing CustomAnomalies Resource
Get an existing CustomAnomalies 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?: CustomAnomaliesState, opts?: CustomResourceOptions): CustomAnomalies
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
aggregation_type: Optional[str] = None,
description: Optional[str] = None,
dimensions: Optional[Sequence[CustomAnomaliesDimensionArgs]] = None,
disabled_reason: Optional[str] = None,
enabled: Optional[bool] = None,
metric_id: Optional[str] = None,
metric_selector: Optional[str] = None,
name: Optional[str] = None,
primary_dimension_key: Optional[str] = None,
scopes: Optional[Sequence[CustomAnomaliesScopeArgs]] = None,
severity: Optional[str] = None,
strategy: Optional[CustomAnomaliesStrategyArgs] = None,
unknowns: Optional[str] = None,
warning_reason: Optional[str] = None) -> CustomAnomalies
func GetCustomAnomalies(ctx *Context, name string, id IDInput, state *CustomAnomaliesState, opts ...ResourceOption) (*CustomAnomalies, error)
public static CustomAnomalies Get(string name, Input<string> id, CustomAnomaliesState? state, CustomResourceOptions? opts = null)
public static CustomAnomalies get(String name, Output<String> id, CustomAnomaliesState 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.
- Aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- Description string
- The description of the metric event
- Dimensions
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension> - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- Disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- Enabled bool
- The metric event is enabled (
true
) or disabled (false
) - Metric
Id string - The ID of the metric evaluated by the metric event
- Metric
Selector string - The metric selector that should be executed
- Name string
- The name of the metric event displayed in the UI
- Primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- Scopes
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope> - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- Severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - Strategy
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- Aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- Description string
- The description of the metric event
- Dimensions
[]Custom
Anomalies Dimension Args - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- Disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- Enabled bool
- The metric event is enabled (
true
) or disabled (false
) - Metric
Id string - The ID of the metric evaluated by the metric event
- Metric
Selector string - The metric selector that should be executed
- Name string
- The name of the metric event displayed in the UI
- Primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- Scopes
[]Custom
Anomalies Scope Args - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- Severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - Strategy
Custom
Anomalies Strategy Args - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- aggregation
Type String - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- description String
- The description of the metric event
- dimensions
List<Custom
Anomalies Dimension> - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason String - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- enabled Boolean
- The metric event is enabled (
true
) or disabled (false
) - metric
Id String - The ID of the metric evaluated by the metric event
- metric
Selector String - The metric selector that should be executed
- name String
- The name of the metric event displayed in the UI
- primary
Dimension StringKey - Defines which dimension key should be used for the alertingScope
- scopes
List<Custom
Anomalies Scope> - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity String
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - strategy
Custom
Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason String - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- aggregation
Type string - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- description string
- The description of the metric event
- dimensions
Custom
Anomalies Dimension[] - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason string - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- enabled boolean
- The metric event is enabled (
true
) or disabled (false
) - metric
Id string - The ID of the metric evaluated by the metric event
- metric
Selector string - The metric selector that should be executed
- name string
- The name of the metric event displayed in the UI
- primary
Dimension stringKey - Defines which dimension key should be used for the alertingScope
- scopes
Custom
Anomalies Scope[] - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity string
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - strategy
Custom
Anomalies Strategy - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason string - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- aggregation_
type str - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- description str
- The description of the metric event
- dimensions
Sequence[Custom
Anomalies Dimension Args] - Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled_
reason str - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- enabled bool
- The metric event is enabled (
true
) or disabled (false
) - metric_
id str - The ID of the metric evaluated by the metric event
- metric_
selector str - The metric selector that should be executed
- name str
- The name of the metric event displayed in the UI
- primary_
dimension_ strkey - Defines which dimension key should be used for the alertingScope
- scopes
Sequence[Custom
Anomalies Scope Args] - Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity str
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - strategy
Custom
Anomalies Strategy Args - A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning_
reason str - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
- aggregation
Type String - How the metric data points are aggregated for the evaluation. The timeseries must support this aggregation
- description String
- The description of the metric event
- dimensions List<Property Map>
- Defines the dimensions of the metric to alert on. The filters are combined by conjunction
- disabled
Reason String - The reason of automatic disabling. The
NONE
means config was not disabled automatically. Possible values areMETRIC_DEFINITION_INCONSISTENCY
,NONE
,TOO_MANY_DIMS
andTOPX_FORCIBLY_DEACTIVATED
- enabled Boolean
- The metric event is enabled (
true
) or disabled (false
) - metric
Id String - The ID of the metric evaluated by the metric event
- metric
Selector String - The metric selector that should be executed
- name String
- The name of the metric event displayed in the UI
- primary
Dimension StringKey - Defines which dimension key should be used for the alertingScope
- scopes List<Property Map>
- Defines the scope of the metric event. Only one filter is allowed per filter type, except for tags, where up to 3 are allowed. The filters are combined by conjunction
- severity String
- The type of the event to trigger on the threshold violation. The
CUSTOM_ALERT
type is not correlated with other alerts. TheINFO
type does not open a problem - strategy Property Map
- A monitoring strategy for a metric event config. This is the base version of the monitoring strategy, depending on the type, the actual JSON may contain additional fields
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- warning
Reason String - The reason of a warning set on the config. The
NONE
means config has no warnings. The other supported value isTOO_MANY_DIMS
Supporting Types
CustomAnomaliesDimension, CustomAnomaliesDimensionArgs
- Dimensions
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension Dimension> - A generic definition for a filter
- Entities
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension Entity> - A filter for the metrics entity dimensions
- Strings
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension String> - A filter for the metrics string dimensions
- Dimensions
[]Custom
Anomalies Dimension Dimension - A generic definition for a filter
- Entities
[]Custom
Anomalies Dimension Entity - A filter for the metrics entity dimensions
- Strings
[]Custom
Anomalies Dimension String - A filter for the metrics string dimensions
- dimensions
List<Custom
Anomalies Dimension Dimension> - A generic definition for a filter
- entities
List<Custom
Anomalies Dimension Entity> - A filter for the metrics entity dimensions
- strings
List<Custom
Anomalies Dimension String> - A filter for the metrics string dimensions
- dimensions
Custom
Anomalies Dimension Dimension[] - A generic definition for a filter
- entities
Custom
Anomalies Dimension Entity[] - A filter for the metrics entity dimensions
- strings
Custom
Anomalies Dimension String[] - A filter for the metrics string dimensions
- dimensions
Sequence[Custom
Anomalies Dimension Dimension] - A generic definition for a filter
- entities
Sequence[Custom
Anomalies Dimension Entity] - A filter for the metrics entity dimensions
- strings
Sequence[Custom
Anomalies Dimension String] - A filter for the metrics string dimensions
- dimensions List<Property Map>
- A generic definition for a filter
- entities List<Property Map>
- A filter for the metrics entity dimensions
- strings List<Property Map>
- A filter for the metrics string dimensions
CustomAnomaliesDimensionDimension, CustomAnomaliesDimensionDimensionArgs
- Type string
- Defines the actual set of fields depending on the value
- Index int
- No documentation available
- Key string
- The dimensions key on the metric
- Name string
- No documentation available
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Type string
- Defines the actual set of fields depending on the value
- Index int
- No documentation available
- Key string
- The dimensions key on the metric
- Name string
- No documentation available
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- type String
- Defines the actual set of fields depending on the value
- index Integer
- No documentation available
- key String
- The dimensions key on the metric
- name String
- No documentation available
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- type string
- Defines the actual set of fields depending on the value
- index number
- No documentation available
- key string
- The dimensions key on the metric
- name string
- No documentation available
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- type String
- Defines the actual set of fields depending on the value
- index Number
- No documentation available
- key String
- The dimensions key on the metric
- name String
- No documentation available
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesDimensionEntity, CustomAnomaliesDimensionEntityArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension Entity Filter - A filter for a string value based on the given operator
- Key string
- The dimensions key on the metric
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Dimension Entity Filter - A filter for a string value based on the given operator
- Key string
- The dimensions key on the metric
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension Entity Filter - A filter for a string value based on the given operator
- key String
- The dimensions key on the metric
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension Entity Filter - A filter for a string value based on the given operator
- key string
- The dimensions key on the metric
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension Entity Filter - A filter for a string value based on the given operator
- key str
- The dimensions key on the metric
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- key String
- The dimensions key on the metric
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesDimensionEntityFilter, CustomAnomaliesDimensionEntityFilterArgs
CustomAnomaliesDimensionString, CustomAnomaliesDimensionStringArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Dimension String Filter - A filter for a string value based on the given operator
- Index int
- No documentation available
- Key string
- The dimensions key on the metric
- Name string
- No documentation available
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Dimension String Filter - A filter for a string value based on the given operator
- Index int
- No documentation available
- Key string
- The dimensions key on the metric
- Name string
- No documentation available
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension String Filter - A filter for a string value based on the given operator
- index Integer
- No documentation available
- key String
- The dimensions key on the metric
- name String
- No documentation available
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension String Filter - A filter for a string value based on the given operator
- index number
- No documentation available
- key string
- The dimensions key on the metric
- name string
- No documentation available
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Dimension String Filter - A filter for a string value based on the given operator
- index int
- No documentation available
- key str
- The dimensions key on the metric
- name str
- No documentation available
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- index Number
- No documentation available
- key String
- The dimensions key on the metric
- name String
- No documentation available
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesDimensionStringFilter, CustomAnomaliesDimensionStringFilterArgs
CustomAnomaliesScope, CustomAnomaliesScopeArgs
- Custom
Device List<Pulumiverse.Group Names Dynatrace. Inputs. Custom Anomalies Scope Custom Device Group Name> - A scope filter for the related custom device group name
- Entities
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Entity> - A scope filter for a monitored entity identifier
- Host
Group List<Pulumiverse.Names Dynatrace. Inputs. Custom Anomalies Scope Host Group Name> - A scope filter for the related host group name
- Host
Names List<Pulumiverse.Dynatrace. Inputs. Custom Anomalies Scope Host Name> - A scope filter for the related host name
- Management
Zones List<Pulumiverse.Dynatrace. Inputs. Custom Anomalies Scope Management Zone> - A scope filter for a management zone identifier
- Names
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Name> - A scope filter for a monitored entity name
- Process
Group List<Pulumiverse.Ids Dynatrace. Inputs. Custom Anomalies Scope Process Group Id> - A scope filter for a process group identifier
- Process
Group List<Pulumiverse.Names Dynatrace. Inputs. Custom Anomalies Scope Process Group Name> - A scope filter for the related process group name
- Scopes
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Scope> - A generic scope filter
- List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Tag> - A scope filter for tags on entities
- Custom
Device []CustomGroup Names Anomalies Scope Custom Device Group Name - A scope filter for the related custom device group name
- Entities
[]Custom
Anomalies Scope Entity - A scope filter for a monitored entity identifier
- Host
Group []CustomNames Anomalies Scope Host Group Name - A scope filter for the related host group name
- Host
Names []CustomAnomalies Scope Host Name - A scope filter for the related host name
- Management
Zones []CustomAnomalies Scope Management Zone - A scope filter for a management zone identifier
- Names
[]Custom
Anomalies Scope Name - A scope filter for a monitored entity name
- Process
Group []CustomIds Anomalies Scope Process Group Id - A scope filter for a process group identifier
- Process
Group []CustomNames Anomalies Scope Process Group Name - A scope filter for the related process group name
- Scopes
[]Custom
Anomalies Scope Scope - A generic scope filter
- []Custom
Anomalies Scope Tag - A scope filter for tags on entities
- custom
Device List<CustomGroup Names Anomalies Scope Custom Device Group Name> - A scope filter for the related custom device group name
- entities
List<Custom
Anomalies Scope Entity> - A scope filter for a monitored entity identifier
- host
Group List<CustomNames Anomalies Scope Host Group Name> - A scope filter for the related host group name
- host
Names List<CustomAnomalies Scope Host Name> - A scope filter for the related host name
- management
Zones List<CustomAnomalies Scope Management Zone> - A scope filter for a management zone identifier
- names
List<Custom
Anomalies Scope Name> - A scope filter for a monitored entity name
- process
Group List<CustomIds Anomalies Scope Process Group Id> - A scope filter for a process group identifier
- process
Group List<CustomNames Anomalies Scope Process Group Name> - A scope filter for the related process group name
- scopes
List<Custom
Anomalies Scope Scope> - A generic scope filter
- List<Custom
Anomalies Scope Tag> - A scope filter for tags on entities
- custom
Device CustomGroup Names Anomalies Scope Custom Device Group Name[] - A scope filter for the related custom device group name
- entities
Custom
Anomalies Scope Entity[] - A scope filter for a monitored entity identifier
- host
Group CustomNames Anomalies Scope Host Group Name[] - A scope filter for the related host group name
- host
Names CustomAnomalies Scope Host Name[] - A scope filter for the related host name
- management
Zones CustomAnomalies Scope Management Zone[] - A scope filter for a management zone identifier
- names
Custom
Anomalies Scope Name[] - A scope filter for a monitored entity name
- process
Group CustomIds Anomalies Scope Process Group Id[] - A scope filter for a process group identifier
- process
Group CustomNames Anomalies Scope Process Group Name[] - A scope filter for the related process group name
- scopes
Custom
Anomalies Scope Scope[] - A generic scope filter
- Custom
Anomalies Scope Tag[] - A scope filter for tags on entities
- custom_
device_ Sequence[Customgroup_ names Anomalies Scope Custom Device Group Name] - A scope filter for the related custom device group name
- entities
Sequence[Custom
Anomalies Scope Entity] - A scope filter for a monitored entity identifier
- host_
group_ Sequence[Customnames Anomalies Scope Host Group Name] - A scope filter for the related host group name
- host_
names Sequence[CustomAnomalies Scope Host Name] - A scope filter for the related host name
- management_
zones Sequence[CustomAnomalies Scope Management Zone] - A scope filter for a management zone identifier
- names
Sequence[Custom
Anomalies Scope Name] - A scope filter for a monitored entity name
- process_
group_ Sequence[Customids Anomalies Scope Process Group Id] - A scope filter for a process group identifier
- process_
group_ Sequence[Customnames Anomalies Scope Process Group Name] - A scope filter for the related process group name
- scopes
Sequence[Custom
Anomalies Scope Scope] - A generic scope filter
- Sequence[Custom
Anomalies Scope Tag] - A scope filter for tags on entities
- custom
Device List<Property Map>Group Names - A scope filter for the related custom device group name
- entities List<Property Map>
- A scope filter for a monitored entity identifier
- host
Group List<Property Map>Names - A scope filter for the related host group name
- host
Names List<Property Map> - A scope filter for the related host name
- management
Zones List<Property Map> - A scope filter for a management zone identifier
- names List<Property Map>
- A scope filter for a monitored entity name
- process
Group List<Property Map>Ids - A scope filter for a process group identifier
- process
Group List<Property Map>Names - A scope filter for the related process group name
- scopes List<Property Map>
- A generic scope filter
- List<Property Map>
- A scope filter for tags on entities
CustomAnomaliesScopeCustomDeviceGroupName, CustomAnomaliesScopeCustomDeviceGroupNameArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Custom Device Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Custom Device Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Custom Device Group Name Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Custom Device Group Name Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Custom Device Group Name Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeCustomDeviceGroupNameFilter, CustomAnomaliesScopeCustomDeviceGroupNameFilterArgs
CustomAnomaliesScopeEntity, CustomAnomaliesScopeEntityArgs
CustomAnomaliesScopeHostGroupName, CustomAnomaliesScopeHostGroupNameArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Host Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Host Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Group Name Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Group Name Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Group Name Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeHostGroupNameFilter, CustomAnomaliesScopeHostGroupNameFilterArgs
CustomAnomaliesScopeHostName, CustomAnomaliesScopeHostNameArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Host Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Host Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Name Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Name Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Host Name Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeHostNameFilter, CustomAnomaliesScopeHostNameFilterArgs
CustomAnomaliesScopeManagementZone, CustomAnomaliesScopeManagementZoneArgs
CustomAnomaliesScopeName, CustomAnomaliesScopeNameArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Name Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Name Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Name Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeNameFilter, CustomAnomaliesScopeNameFilterArgs
CustomAnomaliesScopeProcessGroupId, CustomAnomaliesScopeProcessGroupIdArgs
CustomAnomaliesScopeProcessGroupName, CustomAnomaliesScopeProcessGroupNameArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Process Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Process Group Name Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Process Group Name Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Process Group Name Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Process Group Name Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeProcessGroupNameFilter, CustomAnomaliesScopeProcessGroupNameFilterArgs
CustomAnomaliesScopeScope, CustomAnomaliesScopeScopeArgs
CustomAnomaliesScopeTag, CustomAnomaliesScopeTagArgs
- Filter
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Scope Tag Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Filter
Custom
Anomalies Scope Tag Filter - A filter for a string value based on the given operator
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Tag Filter - A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Tag Filter - A filter for a string value based on the given operator
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter
Custom
Anomalies Scope Tag Filter - A filter for a string value based on the given operator
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- filter Property Map
- A filter for a string value based on the given operator
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesScopeTagFilter, CustomAnomaliesScopeTagFilterArgs
CustomAnomaliesStrategy, CustomAnomaliesStrategyArgs
- Auto
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Strategy Auto - An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- Generics
List<Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Strategy Generic> - A generic monitoring strategy
- Static
Pulumiverse.
Dynatrace. Inputs. Custom Anomalies Strategy Static - A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
- Auto
Custom
Anomalies Strategy Auto - An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- Generics
[]Custom
Anomalies Strategy Generic - A generic monitoring strategy
- Static
Custom
Anomalies Strategy Static - A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
- auto
Custom
Anomalies Strategy Auto - An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- generics
List<Custom
Anomalies Strategy Generic> - A generic monitoring strategy
- static_
Custom
Anomalies Strategy Static - A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
- auto
Custom
Anomalies Strategy Auto - An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- generics
Custom
Anomalies Strategy Generic[] - A generic monitoring strategy
- static
Custom
Anomalies Strategy Static - A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
- auto
Custom
Anomalies Strategy Auto - An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- generics
Sequence[Custom
Anomalies Strategy Generic] - A generic monitoring strategy
- static
Custom
Anomalies Strategy Static - A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
- auto Property Map
- An auto-adaptive baseline strategy to detect anomalies within metrics that show a regular change over time, as the baseline is also updated automatically. An example is to detect an anomaly in the number of received network packets or within the number of user actions over time
- generics List<Property Map>
- A generic monitoring strategy
- static Property Map
- A static threshold monitoring strategy to alert on hard limits within a given metric. An example is the violation of a critical memory limit
CustomAnomaliesStrategyAuto, CustomAnomaliesStrategyAutoArgs
- Alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- Dealerting
Samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- Samples int
- The number of one-minute samples that form the sliding evaluation window
- Signal
Fluctuations double - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- Violating
Samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- Alerting
On boolMissing Data - If true, also one-minute samples without data are counted as violating samples
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- Dealerting
Samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- Samples int
- The number of one-minute samples that form the sliding evaluation window
- Signal
Fluctuations float64 - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- Violating
Samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- Alerting
On boolMissing Data - If true, also one-minute samples without data are counted as violating samples
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition String - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples Integer - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples Integer
- The number of one-minute samples that form the sliding evaluation window
- signal
Fluctuations Double - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- violating
Samples Integer - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On BooleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples number - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples number
- The number of one-minute samples that form the sliding evaluation window
- signal
Fluctuations number - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- violating
Samples number - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On booleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert_
condition str - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting_
samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples int
- The number of one-minute samples that form the sliding evaluation window
- signal_
fluctuations float - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- violating_
samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting_
on_ boolmissing_ data - If true, also one-minute samples without data are counted as violating samples
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition String - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples Number - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples Number
- The number of one-minute samples that form the sliding evaluation window
- signal
Fluctuations Number - Defines the factor of how many signal fluctuations are valid. Values above the baseline plus the signal fluctuation times the number of tolerated signal fluctuations are alerted
- violating
Samples Number - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On BooleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
CustomAnomaliesStrategyGeneric, CustomAnomaliesStrategyGenericArgs
CustomAnomaliesStrategyStatic, CustomAnomaliesStrategyStaticArgs
- Alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- Dealerting
Samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- Samples int
- The number of one-minute samples that form the sliding evaluation window
- Threshold double
- The value of the static threshold based on the specified unit
- Unit string
- The unit of the threshold, matching the metric definition
- Violating
Samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- Alerting
On boolMissing Data - If true, also one-minute samples without data are counted as violating samples
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- Alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- Dealerting
Samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- Samples int
- The number of one-minute samples that form the sliding evaluation window
- Threshold float64
- The value of the static threshold based on the specified unit
- Unit string
- The unit of the threshold, matching the metric definition
- Violating
Samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- Alerting
On boolMissing Data - If true, also one-minute samples without data are counted as violating samples
- Unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition String - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples Integer - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples Integer
- The number of one-minute samples that form the sliding evaluation window
- threshold Double
- The value of the static threshold based on the specified unit
- unit String
- The unit of the threshold, matching the metric definition
- violating
Samples Integer - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On BooleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition string - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples number - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples number
- The number of one-minute samples that form the sliding evaluation window
- threshold number
- The value of the static threshold based on the specified unit
- unit string
- The unit of the threshold, matching the metric definition
- violating
Samples number - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On booleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns string
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert_
condition str - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting_
samples int - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples int
- The number of one-minute samples that form the sliding evaluation window
- threshold float
- The value of the static threshold based on the specified unit
- unit str
- The unit of the threshold, matching the metric definition
- violating_
samples int - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting_
on_ boolmissing_ data - If true, also one-minute samples without data are counted as violating samples
- unknowns str
- allows for configuring properties that are not explicitly supported by the current version of this provider
- alert
Condition String - The condition for the threshold value check:
ABOVE
orBELOW
- dealerting
Samples Number - The number of one-minute samples within the evaluation window that must go back to normal to close the event
- samples Number
- The number of one-minute samples that form the sliding evaluation window
- threshold Number
- The value of the static threshold based on the specified unit
- unit String
- The unit of the threshold, matching the metric definition
- violating
Samples Number - The number of one-minute samples within the evaluation window that must violate the threshold to trigger an event
- alerting
On BooleanMissing Data - If true, also one-minute samples without data are counted as violating samples
- unknowns String
- allows for configuring properties that are not explicitly supported by the current version of this provider
Package Details
- Repository
- dynatrace pulumiverse/pulumi-dynatrace
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
dynatrace
Terraform Provider.