google-native.monitoring/v1.getDashboard

func LookupDashboard(ctx *Context, args *LookupDashboardArgs, opts ...InvokeOption) (*LookupDashboardResult, error)
func LookupDashboardOutput(ctx *Context, args *LookupDashboardOutputArgs, opts ...InvokeOption) LookupDashboardResultOutput

> Note: This function is named LookupDashboard in the Go SDK.

DashboardId string

Project string

DashboardId string

Project string

dashboardId String

project String

dashboardId string

project string

dashboard_id str

project str

dashboardId String

project String

ColumnLayout Pulumi.GoogleNative.Monitoring.V1.Outputs.ColumnLayoutResponse

The content is divided into equally spaced columns and the widgets are arranged vertically.

DashboardFilters List<Pulumi.GoogleNative.Monitoring.V1.Outputs.DashboardFilterResponse>

Filters to reduce the amount of data charted based on the filter criteria.

DisplayName string

The mutable, human-readable name.

Etag string

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

GridLayout Pulumi.GoogleNative.Monitoring.V1.Outputs.GridLayoutResponse

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

Labels Dictionary<string, string>

Labels applied to the dashboard

MosaicLayout Pulumi.GoogleNative.Monitoring.V1.Outputs.MosaicLayoutResponse

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

Name string

Immutable. The resource name of the dashboard.

RowLayout Pulumi.GoogleNative.Monitoring.V1.Outputs.RowLayoutResponse

The content is divided into equally spaced rows and the widgets are arranged horizontally.

ColumnLayout ColumnLayoutResponse

The content is divided into equally spaced columns and the widgets are arranged vertically.

DashboardFilters []DashboardFilterResponse

Filters to reduce the amount of data charted based on the filter criteria.

DisplayName string

The mutable, human-readable name.

Etag string

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

GridLayout GridLayoutResponse

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

Labels map[string]string

Labels applied to the dashboard

MosaicLayout MosaicLayoutResponse

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

Name string

Immutable. The resource name of the dashboard.

RowLayout RowLayoutResponse

The content is divided into equally spaced rows and the widgets are arranged horizontally.

columnLayout ColumnLayoutResponse

The content is divided into equally spaced columns and the widgets are arranged vertically.

dashboardFilters List<DashboardFilterResponse>

Filters to reduce the amount of data charted based on the filter criteria.

displayName String

The mutable, human-readable name.

etag String

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

gridLayout GridLayoutResponse

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

labels Map<String,String>

Labels applied to the dashboard

mosaicLayout MosaicLayoutResponse

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

name String

Immutable. The resource name of the dashboard.

rowLayout RowLayoutResponse

The content is divided into equally spaced rows and the widgets are arranged horizontally.

columnLayout ColumnLayoutResponse

The content is divided into equally spaced columns and the widgets are arranged vertically.

dashboardFilters DashboardFilterResponse[]

Filters to reduce the amount of data charted based on the filter criteria.

displayName string

The mutable, human-readable name.

etag string

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

gridLayout GridLayoutResponse

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

labels {[key: string]: string}

Labels applied to the dashboard

mosaicLayout MosaicLayoutResponse

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

name string

Immutable. The resource name of the dashboard.

rowLayout RowLayoutResponse

The content is divided into equally spaced rows and the widgets are arranged horizontally.

column_layout ColumnLayoutResponse

The content is divided into equally spaced columns and the widgets are arranged vertically.

dashboard_filters Sequence[DashboardFilterResponse]

Filters to reduce the amount of data charted based on the filter criteria.

display_name str

The mutable, human-readable name.

etag str

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

grid_layout GridLayoutResponse

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

labels Mapping[str, str]

Labels applied to the dashboard

mosaic_layout MosaicLayoutResponse

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

name str

Immutable. The resource name of the dashboard.

row_layout RowLayoutResponse

The content is divided into equally spaced rows and the widgets are arranged horizontally.

columnLayout Property Map

The content is divided into equally spaced columns and the widgets are arranged vertically.

dashboardFilters List<Property Map>

Filters to reduce the amount of data charted based on the filter criteria.

displayName String

The mutable, human-readable name.

etag String

etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. An etag is returned in the response to GetDashboard, and users are expected to put that etag in the request to UpdateDashboard to ensure that their change will be applied to the same version of the Dashboard configuration. The field should not be passed during dashboard creation.

gridLayout Property Map

Content is arranged with a basic layout that re-flows a simple list of informational elements like widgets or tiles.

labels Map<String>

Labels applied to the dashboard

mosaicLayout Property Map

The content is arranged as a grid of tiles, with each content widget occupying one or more grid blocks.

name String

Immutable. The resource name of the dashboard.

rowLayout Property Map

The content is divided into equally spaced rows and the widgets are arranged horizontally.

Parameters List<Pulumi.GoogleNative.Monitoring.V1.Inputs.ParameterResponse>

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

Type string

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

Parameters []ParameterResponse

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

Type string

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

parameters List<ParameterResponse>

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

type String

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

parameters ParameterResponse[]

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

type string

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

parameters Sequence[ParameterResponse]

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

type str

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

parameters List<Property Map>

Optional. Parameters applied to the aggregation function. Only used for functions that require them.

type String

The type of aggregation function, must be one of the following: "none" - no function. "percentile" - APPROX_QUANTILES() - 1 parameter numeric value "average" - AVG() "count" - COUNT() "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" - APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()

AlignmentPeriod string

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

CrossSeriesReducer string

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

GroupByFields List<string>

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

PerSeriesAligner string

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

AlignmentPeriod string

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

CrossSeriesReducer string

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

GroupByFields []string

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

PerSeriesAligner string

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

alignmentPeriod String

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

crossSeriesReducer String

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

groupByFields List<String>

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

perSeriesAligner String

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

alignmentPeriod string

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

crossSeriesReducer string

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

groupByFields string[]

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

perSeriesAligner string

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

alignment_period str

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

cross_series_reducer str

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

group_by_fields Sequence[str]

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

per_series_aligner str

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

alignmentPeriod String

The alignment_period specifies a time interval, in seconds, that is used to divide the data in all the time series into consistent blocks of time. This will be done before the per-series aligner can be applied to the data.The value must be at least 60 seconds. If a per-series aligner other than ALIGN_NONE is specified, this field is required or an error is returned. If no per-series aligner is specified, or the aligner ALIGN_NONE is specified, then this field is ignored.The maximum value of the alignment_period is 2 years, or 104 weeks.

crossSeriesReducer String

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

groupByFields List<String>

The set of fields to preserve when cross_series_reducer is specified. The group_by_fields determine how the time series are partitioned into subsets prior to applying the aggregation operation. 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 cross_series_reducer 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 group_by_fields are aggregated away. If group_by_fields 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 cross_series_reducer is not defined, this field is ignored.

perSeriesAligner String

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

Name string

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

Name string

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

name String

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

name string

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

name str

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

name String

The resource name of the alert policy. The format is: projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]

Label string

The label of the axis.

Scale string

The axis scale. By default, a linear scale is used.

Label string

The label of the axis.

Scale string

The axis scale. By default, a linear scale is used.

label String

The label of the axis.

scale String

The axis scale. By default, a linear scale is used.

label string

The label of the axis.

scale string

The axis scale. By default, a linear scale is used.

label str

The label of the axis.

scale str

The axis scale. By default, a linear scale is used.

label String

The label of the axis.

scale String

The axis scale. By default, a linear scale is used.

AggregationFunction Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationFunctionResponse

The Aggregation function is applied across all data in each breakdown created.

Column string

The name of the column in the dataset containing the breakdown values.

Limit int

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

SortOrder string

The sort order is applied to the values of the breakdown column.

AggregationFunction AggregationFunctionResponse

The Aggregation function is applied across all data in each breakdown created.

Column string

The name of the column in the dataset containing the breakdown values.

Limit int

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

SortOrder string

The sort order is applied to the values of the breakdown column.

aggregationFunction AggregationFunctionResponse

The Aggregation function is applied across all data in each breakdown created.

column String

The name of the column in the dataset containing the breakdown values.

limit Integer

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

sortOrder String

The sort order is applied to the values of the breakdown column.

aggregationFunction AggregationFunctionResponse

The Aggregation function is applied across all data in each breakdown created.

column string

The name of the column in the dataset containing the breakdown values.

limit number

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

sortOrder string

The sort order is applied to the values of the breakdown column.

aggregation_function AggregationFunctionResponse

The Aggregation function is applied across all data in each breakdown created.

column str

The name of the column in the dataset containing the breakdown values.

limit int

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

sort_order str

The sort order is applied to the values of the breakdown column.

aggregationFunction Property Map

The Aggregation function is applied across all data in each breakdown created.

column String

The name of the column in the dataset containing the breakdown values.

limit Number

A limit to the number of breakdowns. If set to zero then all possible breakdowns are applied. The list of breakdowns is dependent on the value of the sort_order field.

sortOrder String

The sort order is applied to the values of the breakdown column.

DisplayHorizontal bool

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

Mode string

The chart mode.

DisplayHorizontal bool

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

Mode string

The chart mode.

displayHorizontal Boolean

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

mode String

The chart mode.

displayHorizontal boolean

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

mode string

The chart mode.

display_horizontal bool

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

mode str

The chart mode.

displayHorizontal Boolean

Preview: Configures whether the charted values are shown on the horizontal or vertical axis. By default, values are represented the vertical axis. This is a preview feature and may be subject to change before final release.

mode String

The chart mode.

Collapsed bool

The collapsed state of the widget on first page load.

Collapsed bool

The collapsed state of the widget on first page load.

collapsed Boolean

The collapsed state of the widget on first page load.

collapsed boolean

The collapsed state of the widget on first page load.

collapsed bool

The collapsed state of the widget on first page load.

collapsed Boolean

The collapsed state of the widget on first page load.

Columns List<Pulumi.GoogleNative.Monitoring.V1.Inputs.ColumnResponse>

The columns of content to display.

Columns []ColumnResponse

The columns of content to display.

columns List<ColumnResponse>

The columns of content to display.

columns ColumnResponse[]

The columns of content to display.

columns Sequence[ColumnResponse]

The columns of content to display.

columns List<Property Map>

The columns of content to display.

Weight string

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

Widgets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.WidgetResponse>

The display widgets arranged vertically in this column.

Weight string

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

Widgets []WidgetResponse

The display widgets arranged vertically in this column.

weight String

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

widgets List<WidgetResponse>

The display widgets arranged vertically in this column.

weight string

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

widgets WidgetResponse[]

The display widgets arranged vertically in this column.

weight str

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

widgets Sequence[WidgetResponse]

The display widgets arranged vertically in this column.

weight String

The relative weight of this column. The column weight is used to adjust the width of columns on the screen (relative to peers). Greater the weight, greater the width of the column on the screen. If omitted, a value of 1 is used while rendering.

widgets List<Property Map>

The display widgets arranged vertically in this column.

Column string

The id of the column.

Visible bool

Whether the column should be visible on page load.

Column string

The id of the column.

Visible bool

Whether the column should be visible on page load.

column String

The id of the column.

visible Boolean

Whether the column should be visible on page load.

column string

The id of the column.

visible boolean

Whether the column should be visible on page load.

column str

The id of the column.

visible bool

Whether the column should be visible on page load.

column String

The id of the column.

visible Boolean

Whether the column should be visible on page load.

FilterType string

The specified filter type

LabelKey string

The key for the label

StringValue string

A variable-length string value.

TemplateVariable string

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

FilterType string

The specified filter type

LabelKey string

The key for the label

StringValue string

A variable-length string value.

TemplateVariable string

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

filterType String

The specified filter type

labelKey String

The key for the label

stringValue String

A variable-length string value.

templateVariable String

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

filterType string

The specified filter type

labelKey string

The key for the label

stringValue string

A variable-length string value.

templateVariable string

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

filter_type str

The specified filter type

label_key str

The key for the label

string_value str

A variable-length string value.

template_variable str

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

filterType String

The specified filter type

labelKey String

The key for the label

stringValue String

A variable-length string value.

templateVariable String

The placeholder text that can be referenced in a filter string or MQL query. If omitted, the dashboard filter will be applied to all relevant widgets in the dashboard.

Breakdowns List<Pulumi.GoogleNative.Monitoring.V1.Inputs.BreakdownResponse>

Optional. The collection of breakdowns to be applied to the dataset.

Dimensions List<Pulumi.GoogleNative.Monitoring.V1.Inputs.DimensionResponse>

Optional. A collection of dimension columns.

LegendTemplate string

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

Measures List<Pulumi.GoogleNative.Monitoring.V1.Inputs.MeasureResponse>

Optional. A collection of measures.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

PlotType string

How this data should be plotted on the chart.

TargetAxis string

Optional. The target axis to use for plotting the metric.

TimeSeriesQuery Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

Breakdowns []BreakdownResponse

Optional. The collection of breakdowns to be applied to the dataset.

Dimensions []DimensionResponse

Optional. A collection of dimension columns.

LegendTemplate string

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

Measures []MeasureResponse

Optional. A collection of measures.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

PlotType string

How this data should be plotted on the chart.

TargetAxis string

Optional. The target axis to use for plotting the metric.

TimeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

breakdowns List<BreakdownResponse>

Optional. The collection of breakdowns to be applied to the dataset.

dimensions List<DimensionResponse>

Optional. A collection of dimension columns.

legendTemplate String

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

measures List<MeasureResponse>

Optional. A collection of measures.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

plotType String

How this data should be plotted on the chart.

targetAxis String

Optional. The target axis to use for plotting the metric.

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

breakdowns BreakdownResponse[]

Optional. The collection of breakdowns to be applied to the dataset.

dimensions DimensionResponse[]

Optional. A collection of dimension columns.

legendTemplate string

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

measures MeasureResponse[]

Optional. A collection of measures.

minAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

plotType string

How this data should be plotted on the chart.

targetAxis string

Optional. The target axis to use for plotting the metric.

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

breakdowns Sequence[BreakdownResponse]

Optional. The collection of breakdowns to be applied to the dataset.

dimensions Sequence[DimensionResponse]

Optional. A collection of dimension columns.

legend_template str

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

measures Sequence[MeasureResponse]

Optional. A collection of measures.

min_alignment_period str

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

plot_type str

How this data should be plotted on the chart.

target_axis str

Optional. The target axis to use for plotting the metric.

time_series_query TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

breakdowns List<Property Map>

Optional. The collection of breakdowns to be applied to the dataset.

dimensions List<Property Map>

Optional. A collection of dimension columns.

legendTemplate String

A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value.

measures List<Property Map>

Optional. A collection of measures.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

plotType String

How this data should be plotted on the chart.

targetAxis String

Optional. The target axis to use for plotting the metric.

timeSeriesQuery Property Map

Fields for querying time series data from the Stackdriver metrics API.

Column string

The name of the column in the source SQL query that is used to chart the dimension.

ColumnType string

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

FloatBinSize double

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

MaxBinCount int

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

NumericBinSize int

numeric_bin_size is used when the column type used for a dimension is numeric or string.

SortColumn string

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

SortOrder string

The sort order applied to the sort column.

TimeBinSize string

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

Column string

The name of the column in the source SQL query that is used to chart the dimension.

ColumnType string

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

FloatBinSize float64

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

MaxBinCount int

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

NumericBinSize int

numeric_bin_size is used when the column type used for a dimension is numeric or string.

SortColumn string

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

SortOrder string

The sort order applied to the sort column.

TimeBinSize string

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

column String

The name of the column in the source SQL query that is used to chart the dimension.

columnType String

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

floatBinSize Double

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

maxBinCount Integer

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

numericBinSize Integer

numeric_bin_size is used when the column type used for a dimension is numeric or string.

sortColumn String

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

sortOrder String

The sort order applied to the sort column.

timeBinSize String

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

column string

The name of the column in the source SQL query that is used to chart the dimension.

columnType string

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

floatBinSize number

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

maxBinCount number

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

numericBinSize number

numeric_bin_size is used when the column type used for a dimension is numeric or string.

sortColumn string

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

sortOrder string

The sort order applied to the sort column.

timeBinSize string

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

column str

The name of the column in the source SQL query that is used to chart the dimension.

column_type str

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

float_bin_size float

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

max_bin_count int

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

numeric_bin_size int

numeric_bin_size is used when the column type used for a dimension is numeric or string.

sort_column str

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

sort_order str

The sort order applied to the sort column.

time_bin_size str

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

column String

The name of the column in the source SQL query that is used to chart the dimension.

columnType String

Optional. The type of the dimension column. This is relevant only if one of the bin_size fields is set. If it is empty, the type TIMESTAMP or INT64 will be assumed based on which bin_size field is set. If populated, this should be set to one of the following types: DATE, TIME, DATETIME, TIMESTAMP, BIGNUMERIC, INT64, NUMERIC, FLOAT64.

floatBinSize Number

Optional. float_bin_size is used when the column type used for a dimension is a floating point numeric column.

maxBinCount Number

A limit to the number of bins generated. When 0 is specified, the maximum count is not enforced.

numericBinSize Number

numeric_bin_size is used when the column type used for a dimension is numeric or string.

sortColumn String

The column name to sort on for binning. This column can be the same column as this dimension or any other column used as a measure in the results. If sort_order is set to NONE, then this value is not used.

sortOrder String

The sort order applied to the sort column.

timeBinSize String

time_bin_size is used when the data type specified by column is a time type and the bin size is determined by a time duration. If column_type is DATE, this must be a whole value multiple of 1 day. If column_type is TIME, this must be less than or equal to 24 hours.

ProjectNames List<string>

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

Services List<string>

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

Versions List<string>

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

ProjectNames []string

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

Services []string

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

Versions []string

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

projectNames List<String>

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

services List<String>

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

versions List<String>

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

projectNames string[]

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

services string[]

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

versions string[]

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

project_names Sequence[str]

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

services Sequence[str]

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

versions Sequence[str]

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

projectNames List<String>

The resource name of the Google Cloud Platform project. Written as projects/{projectID} or projects/{projectNumber}, where {projectID} and {projectNumber} can be found in the Google Cloud console (https://support.google.com/cloud/answer/6158840).Examples: projects/my-project-123, projects/5551234.

services List<String>

An identifier of the service, such as the name of the executable, job, or Google App Engine service name. This field is expected to have a low number of values that are relatively stable over time, as opposed to version, which can be changed whenever new code is deployed.Contains the service name for error reports extracted from Google App Engine logs or default if the App Engine default service is used.

versions List<String>

Represents the source code version that the developer provided, which could represent a version label or a Git SHA-1 hash, for example. For App Engine standard environment, the version is set to the version of the app.

LowerBound double

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

UpperBound double

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

LowerBound float64

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

UpperBound float64

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

lowerBound Double

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

upperBound Double

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

lowerBound number

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

upperBound number

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

lower_bound float

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

upper_bound float

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

lowerBound Number

The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.

upperBound Number

The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.

Columns string

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

Widgets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.WidgetResponse>

The informational elements that are arranged into the columns row-first.

Columns string

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

Widgets []WidgetResponse

The informational elements that are arranged into the columns row-first.

columns String

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

widgets List<WidgetResponse>

The informational elements that are arranged into the columns row-first.

columns string

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

widgets WidgetResponse[]

The informational elements that are arranged into the columns row-first.

columns str

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

widgets Sequence[WidgetResponse]

The informational elements that are arranged into the columns row-first.

columns String

The number of columns into which the view's width is divided. If omitted or set to zero, a system default will be used while rendering.

widgets List<Property Map>

The informational elements that are arranged into the columns row-first.

MonitoredResources List<Pulumi.GoogleNative.Monitoring.V1.Inputs.MonitoredResourceResponse>

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

PolicyNames List<string>

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

MonitoredResources []MonitoredResourceResponse

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

PolicyNames []string

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

monitoredResources List<MonitoredResourceResponse>

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

policyNames List<String>

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

monitoredResources MonitoredResourceResponse[]

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

policyNames string[]

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

monitored_resources Sequence[MonitoredResourceResponse]

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

policy_names Sequence[str]

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

monitoredResources List<Property Map>

Optional. The monitored resource for which incidents are listed. The resource doesn't need to be fully specified. That is, you can specify the resource type but not the values of the resource labels. The resource type and labels are used for filtering.

policyNames List<String>

Optional. A list of alert policy names to filter the incident list by. Don't include the project ID prefix in the policy name. For example, use alertPolicies/utilization.

Filter string

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

ResourceNames List<string>

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

Filter string

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

ResourceNames []string

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

filter String

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

resourceNames List<String>

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

filter string

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

resourceNames string[]

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

filter str

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

resource_names Sequence[str]

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

filter String

A filter that chooses which log entries to return. See Advanced Logs Queries (https://cloud.google.com/logging/docs/view/advanced-queries). Only log entries that match the filter are returned. An empty filter matches all log entries.

resourceNames List<String>

The names of logging resources to collect logs for. Currently only projects are supported. If empty, the widget will default to the host project.

AggregationFunction Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationFunctionResponse

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

Column string

The column name within in the dataset used for the measure.

AggregationFunction AggregationFunctionResponse

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

Column string

The column name within in the dataset used for the measure.

aggregationFunction AggregationFunctionResponse

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

column String

The column name within in the dataset used for the measure.

aggregationFunction AggregationFunctionResponse

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

column string

The column name within in the dataset used for the measure.

aggregation_function AggregationFunctionResponse

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

column str

The column name within in the dataset used for the measure.

aggregationFunction Property Map

The aggregation function applied to the input column. This must not be set to "none" unless binning is disabled on the dimension. The aggregation function is used to group points on the dimension bins.

column String

The column name within in the dataset used for the measure.

Labels Dictionary<string, string>

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

Type string

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

Labels map[string]string

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

Type string

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

labels Map<String,String>

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

type String

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

labels {[key: string]: string}

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

type string

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

labels Mapping[str, str]

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

type str

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

labels Map<String>

Values for all of the labels listed in the associated monitored resource descriptor. For example, Compute Engine VM instances use the labels "project_id", "instance_id", and "zone".

type String

The monitored resource type. This field must match the type field of a MonitoredResourceDescriptor object. For example, the type of a Compute Engine VM instance is gce_instance. For a list of types, see Monitoring resource types (https://cloud.google.com/monitoring/api/resources) and Logging resource types (https://cloud.google.com/logging/docs/api/v2/resource-list).

Columns int

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

Tiles List<Pulumi.GoogleNative.Monitoring.V1.Inputs.TileResponse>

The tiles to display.

Columns int

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

Tiles []TileResponse

The tiles to display.

columns Integer

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

tiles List<TileResponse>

The tiles to display.

columns number

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

tiles TileResponse[]

The tiles to display.

columns int

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

tiles Sequence[TileResponse]

The tiles to display.

columns Number

The number of columns in the mosaic grid. The number of columns must be between 1 and 12, inclusive.

tiles List<Property Map>

The tiles to display.

Sql string

A SQL query to fetch time series, category series, or numeric series data.

Sql string

A SQL query to fetch time series, category series, or numeric series data.

sql String

A SQL query to fetch time series, category series, or numeric series data.

sql string

A SQL query to fetch time series, category series, or numeric series data.

sql str

A SQL query to fetch time series, category series, or numeric series data.

sql String

A SQL query to fetch time series, category series, or numeric series data.

DoubleValue double

A floating-point parameter value.

IntValue string

An integer parameter value.

DoubleValue float64

A floating-point parameter value.

IntValue string

An integer parameter value.

doubleValue Double

A floating-point parameter value.

intValue String

An integer parameter value.

doubleValue number

A floating-point parameter value.

intValue string

An integer parameter value.

double_value float

A floating-point parameter value.

int_value str

An integer parameter value.

doubleValue Number

A floating-point parameter value.

intValue String

An integer parameter value.

Direction string

How to use the ranking to select time series that pass through the filter.

NumTimeSeries int

How many time series to allow to pass through the filter.

RankingMethod string

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

Direction string

How to use the ranking to select time series that pass through the filter.

NumTimeSeries int

How many time series to allow to pass through the filter.

RankingMethod string

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

direction String

How to use the ranking to select time series that pass through the filter.

numTimeSeries Integer

How many time series to allow to pass through the filter.

rankingMethod String

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

direction string

How to use the ranking to select time series that pass through the filter.

numTimeSeries number

How many time series to allow to pass through the filter.

rankingMethod string

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

direction str

How to use the ranking to select time series that pass through the filter.

num_time_series int

How many time series to allow to pass through the filter.

ranking_method str

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

direction String

How to use the ranking to select time series that pass through the filter.

numTimeSeries Number

How many time series to allow to pass through the filter.

rankingMethod String

ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

SliceNameTemplate string

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

TimeSeriesQuery Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesQueryResponse

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

SliceNameTemplate string

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

TimeSeriesQuery TimeSeriesQueryResponse

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

sliceNameTemplate String

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

timeSeriesQuery TimeSeriesQueryResponse

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

minAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

sliceNameTemplate string

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

timeSeriesQuery TimeSeriesQueryResponse

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

min_alignment_period str

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

slice_name_template str

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

time_series_query TimeSeriesQueryResponse

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

sliceNameTemplate String

Optional. A template for the name of the slice. This name will be displayed in the legend and the tooltip of the pie chart. It replaces the auto-generated names for the slices. For example, if the template is set to ${resource.labels.zone}, the zone's value will be used for the name instead of the default name.

timeSeriesQuery Property Map

The query for the PieChart. See, google.monitoring.dashboard.v1.TimeSeriesQuery.

ChartType string

Indicates the visualization type for the PieChart.

DataSets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.PieChartDataSetResponse>

The queries for the chart's data.

ShowLabels bool

Optional. Indicates whether or not the pie chart should show slices' labels

ChartType string

Indicates the visualization type for the PieChart.

DataSets []PieChartDataSetResponse

The queries for the chart's data.

ShowLabels bool

Optional. Indicates whether or not the pie chart should show slices' labels

chartType String

Indicates the visualization type for the PieChart.

dataSets List<PieChartDataSetResponse>

The queries for the chart's data.

showLabels Boolean

Optional. Indicates whether or not the pie chart should show slices' labels

chartType string

Indicates the visualization type for the PieChart.

dataSets PieChartDataSetResponse[]

The queries for the chart's data.

showLabels boolean

Optional. Indicates whether or not the pie chart should show slices' labels

chart_type str

Indicates the visualization type for the PieChart.

data_sets Sequence[PieChartDataSetResponse]

The queries for the chart's data.

show_labels bool

Optional. Indicates whether or not the pie chart should show slices' labels

chartType String

Indicates the visualization type for the PieChart.

dataSets List<Property Map>

The queries for the chart's data.

showLabels Boolean

Optional. Indicates whether or not the pie chart should show slices' labels

Aggregation Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

Filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

Aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

Filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter String

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter str

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

aggregation Property Map

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter String

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

Rows List<Pulumi.GoogleNative.Monitoring.V1.Inputs.RowResponse>

The rows of content to display.

Rows []RowResponse

The rows of content to display.

rows List<RowResponse>

The rows of content to display.

rows RowResponse[]

The rows of content to display.

rows Sequence[RowResponse]

The rows of content to display.

rows List<Property Map>

The rows of content to display.

Weight string

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

Widgets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.WidgetResponse>

The display widgets arranged horizontally in this row.

Weight string

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

Widgets []WidgetResponse

The display widgets arranged horizontally in this row.

weight String

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

widgets List<WidgetResponse>

The display widgets arranged horizontally in this row.

weight string

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

widgets WidgetResponse[]

The display widgets arranged horizontally in this row.

weight str

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

widgets Sequence[WidgetResponse]

The display widgets arranged horizontally in this row.

weight String

The relative weight of this row. The row weight is used to adjust the height of rows on the screen (relative to peers). Greater the weight, greater the height of the row on the screen. If omitted, a value of 1 is used while rendering.

widgets List<Property Map>

The display widgets arranged horizontally in this row.

BlankView Pulumi.GoogleNative.Monitoring.V1.Inputs.EmptyResponse

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

GaugeView Pulumi.GoogleNative.Monitoring.V1.Inputs.GaugeViewResponse

Will cause the scorecard to show a gauge chart.

SparkChartView Pulumi.GoogleNative.Monitoring.V1.Inputs.SparkChartViewResponse

Will cause the scorecard to show a spark chart.

Thresholds List<Pulumi.GoogleNative.Monitoring.V1.Inputs.ThresholdResponse>

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

TimeSeriesQuery Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

BlankView EmptyResponse

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

GaugeView GaugeViewResponse

Will cause the scorecard to show a gauge chart.

SparkChartView SparkChartViewResponse

Will cause the scorecard to show a spark chart.

Thresholds []ThresholdResponse

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

TimeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

blankView EmptyResponse

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

gaugeView GaugeViewResponse

Will cause the scorecard to show a gauge chart.

sparkChartView SparkChartViewResponse

Will cause the scorecard to show a spark chart.

thresholds List<ThresholdResponse>

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

blankView EmptyResponse

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

gaugeView GaugeViewResponse

Will cause the scorecard to show a gauge chart.

sparkChartView SparkChartViewResponse

Will cause the scorecard to show a spark chart.

thresholds ThresholdResponse[]

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

blank_view EmptyResponse

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

gauge_view GaugeViewResponse

Will cause the scorecard to show a gauge chart.

spark_chart_view SparkChartViewResponse

Will cause the scorecard to show a spark chart.

thresholds Sequence[ThresholdResponse]

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

time_series_query TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

blankView Property Map

Will cause the Scorecard to show only the value, with no indicator to its value relative to its thresholds.

gaugeView Property Map

Will cause the scorecard to show a gauge chart.

sparkChartView Property Map

Will cause the scorecard to show a spark chart.

thresholds List<Property Map>

The thresholds used to determine the state of the scorecard given the time series' current value. For an actual value x, the scorecard is in a danger state if x is less than or equal to a danger threshold that triggers below, or greater than or equal to a danger threshold that triggers above. Similarly, if x is above/below a warning threshold that triggers above/below, then the scorecard is in a warning state - unless x also puts it in a danger state. (Danger trumps warning.)As an example, consider a scorecard with the following four thresholds: { value: 90, category: 'DANGER', trigger: 'ABOVE', }, { value: 70, category: 'WARNING', trigger: 'ABOVE', }, { value: 10, category: 'DANGER', trigger: 'BELOW', }, { value: 20, category: 'WARNING', trigger: 'BELOW', } Then: values less than or equal to 10 would put the scorecard in a DANGER state, values greater than 10 but less than or equal to 20 a WARNING state, values strictly between 20 and 70 an OK state, values greater than or equal to 70 but less than 90 a WARNING state, and values greater than or equal to 90 a DANGER state.

timeSeriesQuery Property Map

Fields for querying time series data from the Stackdriver metrics API.

MinAlignmentPeriod string

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

SparkChartType string

The type of sparkchart to show in this chartView.

MinAlignmentPeriod string

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

SparkChartType string

The type of sparkchart to show in this chartView.

minAlignmentPeriod String

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

sparkChartType String

The type of sparkchart to show in this chartView.

minAlignmentPeriod string

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

sparkChartType string

The type of sparkchart to show in this chartView.

min_alignment_period str

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

spark_chart_type str

The type of sparkchart to show in this chartView.

minAlignmentPeriod String

The lower bound on data point frequency in the chart implemented by specifying the minimum alignment period to use in a time series query. For example, if the data is published once every 10 minutes it would not make sense to fetch and align data at one minute intervals. This field is optional and exists only as a hint.

sparkChartType String

The type of sparkchart to show in this chartView.

NumTimeSeries int

How many time series to output.

RankingMethod string

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

NumTimeSeries int

How many time series to output.

RankingMethod string

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

numTimeSeries Integer

How many time series to output.

rankingMethod String

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

numTimeSeries number

How many time series to output.

rankingMethod string

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

num_time_series int

How many time series to output.

ranking_method str

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

numTimeSeries Number

How many time series to output.

rankingMethod String

rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

TableDisplayOptions Pulumi.GoogleNative.Monitoring.V1.Inputs.TableDisplayOptionsResponse

Optional. Table display options for configuring how the table is rendered.

TableTemplate string

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

TimeSeriesQuery Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

MinAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

TableDisplayOptions TableDisplayOptionsResponse

Optional. Table display options for configuring how the table is rendered.

TableTemplate string

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

TimeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

tableDisplayOptions TableDisplayOptionsResponse

Optional. Table display options for configuring how the table is rendered.

tableTemplate String

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

minAlignmentPeriod string

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

tableDisplayOptions TableDisplayOptionsResponse

Optional. Table display options for configuring how the table is rendered.

tableTemplate string

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

timeSeriesQuery TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

min_alignment_period str

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

table_display_options TableDisplayOptionsResponse

Optional. Table display options for configuring how the table is rendered.

table_template str

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

time_series_query TimeSeriesQueryResponse

Fields for querying time series data from the Stackdriver metrics API.

minAlignmentPeriod String

Optional. The lower bound on data point frequency for this data set, implemented by specifying the minimum alignment period to use in a time series query For example, if the data is published once every 10 minutes, the min_alignment_period should be at least 10 minutes. It would not make sense to fetch and align data at one minute intervals.

tableDisplayOptions Property Map

Optional. Table display options for configuring how the table is rendered.

tableTemplate String

Optional. A template string for naming TimeSeries in the resulting data set. This should be a string with interpolations of the form ${label_name}, which will resolve to the label's value i.e. "${resource.labels.project_id}."

timeSeriesQuery Property Map

Fields for querying time series data from the Stackdriver metrics API.

ShownColumns List<string>

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

ShownColumns []string

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

shownColumns List<String>

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

shownColumns string[]

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

shown_columns Sequence[str]

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

shownColumns List<String>

Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings

Content string

The text content to be displayed.

Format string

How the text content is formatted.

Style Pulumi.GoogleNative.Monitoring.V1.Inputs.TextStyleResponse

How the text is styled

Content string

The text content to be displayed.

Format string

How the text content is formatted.

Style TextStyleResponse

How the text is styled

content String

The text content to be displayed.

format String

How the text content is formatted.

style TextStyleResponse

How the text is styled

content string

The text content to be displayed.

format string

How the text content is formatted.

style TextStyleResponse

How the text is styled

content str

The text content to be displayed.

format str

How the text content is formatted.

style TextStyleResponse

How the text is styled

content String

The text content to be displayed.

format String

How the text content is formatted.

style Property Map

How the text is styled

BackgroundColor string

The background color as a hex string. "#RRGGBB" or "#RGB"

FontSize string

Font sizes for both the title and content. The title will still be larger relative to the content.

HorizontalAlignment string

The horizontal alignment of both the title and content

Padding string

The amount of padding around the widget

PointerLocation string

The pointer location for this widget (also sometimes called a "tail")

TextColor string

The text color as a hex string. "#RRGGBB" or "#RGB"

VerticalAlignment string

The vertical alignment of both the title and content

BackgroundColor string

The background color as a hex string. "#RRGGBB" or "#RGB"

FontSize string

Font sizes for both the title and content. The title will still be larger relative to the content.

HorizontalAlignment string

The horizontal alignment of both the title and content

Padding string

The amount of padding around the widget

PointerLocation string

The pointer location for this widget (also sometimes called a "tail")

TextColor string

The text color as a hex string. "#RRGGBB" or "#RGB"

VerticalAlignment string

The vertical alignment of both the title and content

backgroundColor String

The background color as a hex string. "#RRGGBB" or "#RGB"

fontSize String

Font sizes for both the title and content. The title will still be larger relative to the content.

horizontalAlignment String

The horizontal alignment of both the title and content

padding String

The amount of padding around the widget

pointerLocation String

The pointer location for this widget (also sometimes called a "tail")

textColor String

The text color as a hex string. "#RRGGBB" or "#RGB"

verticalAlignment String

The vertical alignment of both the title and content

backgroundColor string

The background color as a hex string. "#RRGGBB" or "#RGB"

fontSize string

Font sizes for both the title and content. The title will still be larger relative to the content.

horizontalAlignment string

The horizontal alignment of both the title and content

padding string

The amount of padding around the widget

pointerLocation string

The pointer location for this widget (also sometimes called a "tail")

textColor string

The text color as a hex string. "#RRGGBB" or "#RGB"

verticalAlignment string

The vertical alignment of both the title and content

background_color str

The background color as a hex string. "#RRGGBB" or "#RGB"

font_size str

Font sizes for both the title and content. The title will still be larger relative to the content.

horizontal_alignment str

The horizontal alignment of both the title and content

padding str

The amount of padding around the widget

pointer_location str

The pointer location for this widget (also sometimes called a "tail")

text_color str

The text color as a hex string. "#RRGGBB" or "#RGB"

vertical_alignment str

The vertical alignment of both the title and content

backgroundColor String

The background color as a hex string. "#RRGGBB" or "#RGB"

fontSize String

Font sizes for both the title and content. The title will still be larger relative to the content.

horizontalAlignment String

The horizontal alignment of both the title and content

padding String

The amount of padding around the widget

pointerLocation String

The pointer location for this widget (also sometimes called a "tail")

textColor String

The text color as a hex string. "#RRGGBB" or "#RGB"

verticalAlignment String

The vertical alignment of both the title and content

Color string

The state color for this threshold. Color is not allowed in a XyChart.

Direction string

The direction for the current threshold. Direction is not allowed in a XyChart.

Label string

A label for the threshold.

TargetAxis string

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

Value double

The value of the threshold. The value should be defined in the native scale of the metric.

Color string

The state color for this threshold. Color is not allowed in a XyChart.

Direction string

The direction for the current threshold. Direction is not allowed in a XyChart.

Label string

A label for the threshold.

TargetAxis string

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

Value float64

The value of the threshold. The value should be defined in the native scale of the metric.

color String

The state color for this threshold. Color is not allowed in a XyChart.

direction String

The direction for the current threshold. Direction is not allowed in a XyChart.

label String

A label for the threshold.

targetAxis String

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

value Double

The value of the threshold. The value should be defined in the native scale of the metric.

color string

The state color for this threshold. Color is not allowed in a XyChart.

direction string

The direction for the current threshold. Direction is not allowed in a XyChart.

label string

A label for the threshold.

targetAxis string

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

value number

The value of the threshold. The value should be defined in the native scale of the metric.

color str

The state color for this threshold. Color is not allowed in a XyChart.

direction str

The direction for the current threshold. Direction is not allowed in a XyChart.

label str

A label for the threshold.

target_axis str

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

value float

The value of the threshold. The value should be defined in the native scale of the metric.

color String

The state color for this threshold. Color is not allowed in a XyChart.

direction String

The direction for the current threshold. Direction is not allowed in a XyChart.

label String

A label for the threshold.

targetAxis String

The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.

value Number

The value of the threshold. The value should be defined in the native scale of the metric.

Height int

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

Widget Pulumi.GoogleNative.Monitoring.V1.Inputs.WidgetResponse

The informational widget contained in the tile. For example an XyChart.

Width int

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

XPos int

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

YPos int

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

Height int

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

Widget WidgetResponse

The informational widget contained in the tile. For example an XyChart.

Width int

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

XPos int

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

YPos int

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

height Integer

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

widget WidgetResponse

The informational widget contained in the tile. For example an XyChart.

width Integer

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

xPos Integer

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

yPos Integer

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

height number

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

widget WidgetResponse

The informational widget contained in the tile. For example an XyChart.

width number

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

xPos number

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

yPos number

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

height int

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

widget WidgetResponse

The informational widget contained in the tile. For example an XyChart.

width int

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

x_pos int

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

y_pos int

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

height Number

The height of the tile, measured in grid blocks. Tiles must have a minimum height of 1.

widget Property Map

The informational widget contained in the tile. For example an XyChart.

width Number

The width of the tile, measured in grid blocks. Tiles must have a minimum width of 1.

xPos Number

The zero-indexed position of the tile in grid blocks relative to the left edge of the grid. Tiles must be contained within the specified number of columns. x_pos cannot be negative.

yPos Number

The zero-indexed position of the tile in grid blocks relative to the top edge of the grid. y_pos cannot be negative.

Denominator Pulumi.GoogleNative.Monitoring.V1.Inputs.RatioPartResponse

The denominator of the ratio.

Numerator Pulumi.GoogleNative.Monitoring.V1.Inputs.RatioPartResponse

The numerator of the ratio.

PickTimeSeriesFilter Pulumi.GoogleNative.Monitoring.V1.Inputs.PickTimeSeriesFilterResponse

Ranking based time series filter.

SecondaryAggregation Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationResponse

Apply a second aggregation after the ratio is computed.

StatisticalTimeSeriesFilter Pulumi.GoogleNative.Monitoring.V1.Inputs.StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Denominator RatioPartResponse

The denominator of the ratio.

Numerator RatioPartResponse

The numerator of the ratio.

PickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

SecondaryAggregation AggregationResponse

Apply a second aggregation after the ratio is computed.

StatisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

denominator RatioPartResponse

The denominator of the ratio.

numerator RatioPartResponse

The numerator of the ratio.

pickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondaryAggregation AggregationResponse

Apply a second aggregation after the ratio is computed.

statisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

denominator RatioPartResponse

The denominator of the ratio.

numerator RatioPartResponse

The numerator of the ratio.

pickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondaryAggregation AggregationResponse

Apply a second aggregation after the ratio is computed.

statisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

denominator RatioPartResponse

The denominator of the ratio.

numerator RatioPartResponse

The numerator of the ratio.

pick_time_series_filter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondary_aggregation AggregationResponse

Apply a second aggregation after the ratio is computed.

statistical_time_series_filter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

denominator Property Map

The denominator of the ratio.

numerator Property Map

The numerator of the ratio.

pickTimeSeriesFilter Property Map

Ranking based time series filter.

secondaryAggregation Property Map

Apply a second aggregation after the ratio is computed.

statisticalTimeSeriesFilter Property Map

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Aggregation Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

Filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

PickTimeSeriesFilter Pulumi.GoogleNative.Monitoring.V1.Inputs.PickTimeSeriesFilterResponse

Ranking based time series filter.

SecondaryAggregation Pulumi.GoogleNative.Monitoring.V1.Inputs.AggregationResponse

Apply a second aggregation after aggregation is applied.

StatisticalTimeSeriesFilter Pulumi.GoogleNative.Monitoring.V1.Inputs.StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

Filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

PickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

SecondaryAggregation AggregationResponse

Apply a second aggregation after aggregation is applied.

StatisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter String

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

pickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondaryAggregation AggregationResponse

Apply a second aggregation after aggregation is applied.

statisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter string

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

pickTimeSeriesFilter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondaryAggregation AggregationResponse

Apply a second aggregation after aggregation is applied.

statisticalTimeSeriesFilter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

aggregation AggregationResponse

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter str

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

pick_time_series_filter PickTimeSeriesFilterResponse

Ranking based time series filter.

secondary_aggregation AggregationResponse

Apply a second aggregation after aggregation is applied.

statistical_time_series_filter StatisticalTimeSeriesFilterResponse

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

aggregation Property Map

By default, the raw time series data is returned. Use this field to combine multiple time series for different views of the data.

filter String

The monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) that identifies the metric types, resources, and projects to query.

pickTimeSeriesFilter Property Map

Ranking based time series filter.

secondaryAggregation Property Map

Apply a second aggregation after aggregation is applied.

statisticalTimeSeriesFilter Property Map

Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

Deprecated: Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.

OpsAnalyticsQuery Pulumi.GoogleNative.Monitoring.V1.Inputs.OpsAnalyticsQueryResponse

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

OutputFullDuration bool

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

PrometheusQuery string

A query used to fetch time series with PromQL.

TimeSeriesFilter Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesFilterResponse

Filter parameters to fetch time series.

TimeSeriesFilterRatio Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesFilterRatioResponse

Parameters to fetch a ratio between two time series filters.

TimeSeriesQueryLanguage string

A query used to fetch time series with MQL.

UnitOverride string

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

OpsAnalyticsQuery OpsAnalyticsQueryResponse

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

OutputFullDuration bool

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

PrometheusQuery string

A query used to fetch time series with PromQL.

TimeSeriesFilter TimeSeriesFilterResponse

Filter parameters to fetch time series.

TimeSeriesFilterRatio TimeSeriesFilterRatioResponse

Parameters to fetch a ratio between two time series filters.

TimeSeriesQueryLanguage string

A query used to fetch time series with MQL.

UnitOverride string

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

opsAnalyticsQuery OpsAnalyticsQueryResponse

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

outputFullDuration Boolean

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

prometheusQuery String

A query used to fetch time series with PromQL.

timeSeriesFilter TimeSeriesFilterResponse

Filter parameters to fetch time series.

timeSeriesFilterRatio TimeSeriesFilterRatioResponse

Parameters to fetch a ratio between two time series filters.

timeSeriesQueryLanguage String

A query used to fetch time series with MQL.

unitOverride String

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

opsAnalyticsQuery OpsAnalyticsQueryResponse

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

outputFullDuration boolean

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

prometheusQuery string

A query used to fetch time series with PromQL.

timeSeriesFilter TimeSeriesFilterResponse

Filter parameters to fetch time series.

timeSeriesFilterRatio TimeSeriesFilterRatioResponse

Parameters to fetch a ratio between two time series filters.

timeSeriesQueryLanguage string

A query used to fetch time series with MQL.

unitOverride string

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

ops_analytics_query OpsAnalyticsQueryResponse

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

output_full_duration bool

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

prometheus_query str

A query used to fetch time series with PromQL.

time_series_filter TimeSeriesFilterResponse

Filter parameters to fetch time series.

time_series_filter_ratio TimeSeriesFilterRatioResponse

Parameters to fetch a ratio between two time series filters.

time_series_query_language str

A query used to fetch time series with MQL.

unit_override str

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

opsAnalyticsQuery Property Map

Preview: A query used to fetch a time series, category series, or numeric series with SQL. This is a preview feature and may be subject to change before final release.

outputFullDuration Boolean

Optional. If set, Cloud Monitoring will treat the full query duration as the alignment period so that there will be only 1 output value.*Note: This could override the configured alignment period except for the cases where a series of data points are expected, like - XyChart - Scorecard's spark chart

prometheusQuery String

A query used to fetch time series with PromQL.

timeSeriesFilter Property Map

Filter parameters to fetch time series.

timeSeriesFilterRatio Property Map

Parameters to fetch a ratio between two time series filters.

timeSeriesQueryLanguage String

A query used to fetch time series with MQL.

unitOverride String

The unit of data contained in fetched time series. If non-empty, this unit will override any unit that accompanies fetched data. The format is the same as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.metricDescriptors) field in MetricDescriptor.

ColumnSettings List<Pulumi.GoogleNative.Monitoring.V1.Inputs.ColumnSettingsResponse>

Optional. The list of the persistent column settings for the table.

DataSets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.TableDataSetResponse>

The data displayed in this table.

MetricVisualization string

Optional. Store rendering strategy

ColumnSettings []ColumnSettingsResponse

Optional. The list of the persistent column settings for the table.

DataSets []TableDataSetResponse

The data displayed in this table.

MetricVisualization string

Optional. Store rendering strategy

columnSettings List<ColumnSettingsResponse>

Optional. The list of the persistent column settings for the table.

dataSets List<TableDataSetResponse>

The data displayed in this table.

metricVisualization String

Optional. Store rendering strategy

columnSettings ColumnSettingsResponse[]

Optional. The list of the persistent column settings for the table.

dataSets TableDataSetResponse[]

The data displayed in this table.

metricVisualization string

Optional. Store rendering strategy

column_settings Sequence[ColumnSettingsResponse]

Optional. The list of the persistent column settings for the table.

data_sets Sequence[TableDataSetResponse]

The data displayed in this table.

metric_visualization str

Optional. Store rendering strategy

columnSettings List<Property Map>

Optional. The list of the persistent column settings for the table.

dataSets List<Property Map>

The data displayed in this table.

metricVisualization String

Optional. Store rendering strategy