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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

google-native.monitoring/v1.getDashboard

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

    Fetches a specific dashboard.This method requires the monitoring.dashboards.get permission on the specified dashboard. For more information, see Cloud Identity and Access Management (https://cloud.google.com/iam).

    Using getDashboard

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getDashboard(args: GetDashboardArgs, opts?: InvokeOptions): Promise<GetDashboardResult>
    function getDashboardOutput(args: GetDashboardOutputArgs, opts?: InvokeOptions): Output<GetDashboardResult>
    def get_dashboard(dashboard_id: Optional[str] = None,
                      project: Optional[str] = None,
                      opts: Optional[InvokeOptions] = None) -> GetDashboardResult
    def get_dashboard_output(dashboard_id: Optional[pulumi.Input[str]] = None,
                      project: Optional[pulumi.Input[str]] = None,
                      opts: Optional[InvokeOptions] = None) -> Output[GetDashboardResult]
    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.

    public static class GetDashboard 
    {
        public static Task<GetDashboardResult> InvokeAsync(GetDashboardArgs args, InvokeOptions? opts = null)
        public static Output<GetDashboardResult> Invoke(GetDashboardInvokeArgs args, InvokeOptions? opts = null)
    }
    public static CompletableFuture<GetDashboardResult> getDashboard(GetDashboardArgs args, InvokeOptions options)
    // Output-based functions aren't available in Java yet
    
    fn::invoke:
      function: google-native:monitoring/v1:getDashboard
      arguments:
        # arguments dictionary

    The following arguments are supported:

    DashboardId string
    Project string
    DashboardId string
    Project string
    dashboardId String
    project String
    dashboardId string
    project string
    dashboardId String
    project String

    getDashboard Result

    The following output properties are available:

    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.

    Supporting Types

    AggregationFunctionResponse

    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()

    AggregationResponse

    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.

    AlertChartResponse

    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]

    AxisResponse

    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.

    BreakdownResponse

    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.

    ChartOptionsResponse

    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.

    CollapsibleGroupResponse

    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.

    ColumnLayoutResponse

    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.

    ColumnResponse

    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.

    ColumnSettingsResponse

    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.

    DashboardFilterResponse

    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.

    DataSetResponse

    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.

    DimensionResponse

    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.

    ErrorReportingPanelResponse

    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.

    GaugeViewResponse

    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.

    GridLayoutResponse

    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.

    IncidentListResponse

    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.

    LogsPanelResponse

    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.

    MeasureResponse

    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.

    MonitoredResourceResponse

    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).

    MosaicLayoutResponse

    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.

    OpsAnalyticsQueryResponse

    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.

    ParameterResponse

    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.

    PickTimeSeriesFilterResponse

    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.

    PieChartDataSetResponse

    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.

    PieChartResponse

    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

    RatioPartResponse

    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.

    RowLayoutResponse

    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.

    RowResponse

    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.

    ScorecardResponse

    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.

    SparkChartViewResponse

    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.

    StatisticalTimeSeriesFilterResponse

    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.

    TableDataSetResponse

    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.

    TableDisplayOptionsResponse

    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

    TextResponse

    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

    TextStyleResponse

    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

    ThresholdResponse

    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.

    TileResponse

    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.

    TimeSeriesFilterRatioResponse

    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.

    TimeSeriesFilterResponse

    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.

    TimeSeriesQueryResponse

    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.

    TimeSeriesTableResponse

    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

    WidgetResponse

    AlertChart Pulumi.GoogleNative.Monitoring.V1.Inputs.AlertChartResponse
    A chart of alert policy data.
    Blank Pulumi.GoogleNative.Monitoring.V1.Inputs.EmptyResponse
    A blank space.
    CollapsibleGroup Pulumi.GoogleNative.Monitoring.V1.Inputs.CollapsibleGroupResponse
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    ErrorReportingPanel Pulumi.GoogleNative.Monitoring.V1.Inputs.ErrorReportingPanelResponse
    A widget that displays a list of error groups.
    IncidentList Pulumi.GoogleNative.Monitoring.V1.Inputs.IncidentListResponse
    A widget that shows list of incidents.
    LogsPanel Pulumi.GoogleNative.Monitoring.V1.Inputs.LogsPanelResponse
    A widget that shows a stream of logs.
    PieChart Pulumi.GoogleNative.Monitoring.V1.Inputs.PieChartResponse
    A widget that displays timeseries data as a pie chart.
    Scorecard Pulumi.GoogleNative.Monitoring.V1.Inputs.ScorecardResponse
    A scorecard summarizing time series data.
    Text Pulumi.GoogleNative.Monitoring.V1.Inputs.TextResponse
    A raw string or markdown displaying textual content.
    TimeSeriesTable Pulumi.GoogleNative.Monitoring.V1.Inputs.TimeSeriesTableResponse
    A widget that displays time series data in a tabular format.
    Title string
    Optional. The title of the widget.
    XyChart Pulumi.GoogleNative.Monitoring.V1.Inputs.XyChartResponse
    A chart of time series data.
    AlertChart AlertChartResponse
    A chart of alert policy data.
    Blank EmptyResponse
    A blank space.
    CollapsibleGroup CollapsibleGroupResponse
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    ErrorReportingPanel ErrorReportingPanelResponse
    A widget that displays a list of error groups.
    IncidentList IncidentListResponse
    A widget that shows list of incidents.
    LogsPanel LogsPanelResponse
    A widget that shows a stream of logs.
    PieChart PieChartResponse
    A widget that displays timeseries data as a pie chart.
    Scorecard ScorecardResponse
    A scorecard summarizing time series data.
    Text TextResponse
    A raw string or markdown displaying textual content.
    TimeSeriesTable TimeSeriesTableResponse
    A widget that displays time series data in a tabular format.
    Title string
    Optional. The title of the widget.
    XyChart XyChartResponse
    A chart of time series data.
    alertChart AlertChartResponse
    A chart of alert policy data.
    blank EmptyResponse
    A blank space.
    collapsibleGroup CollapsibleGroupResponse
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    errorReportingPanel ErrorReportingPanelResponse
    A widget that displays a list of error groups.
    incidentList IncidentListResponse
    A widget that shows list of incidents.
    logsPanel LogsPanelResponse
    A widget that shows a stream of logs.
    pieChart PieChartResponse
    A widget that displays timeseries data as a pie chart.
    scorecard ScorecardResponse
    A scorecard summarizing time series data.
    text TextResponse
    A raw string or markdown displaying textual content.
    timeSeriesTable TimeSeriesTableResponse
    A widget that displays time series data in a tabular format.
    title String
    Optional. The title of the widget.
    xyChart XyChartResponse
    A chart of time series data.
    alertChart AlertChartResponse
    A chart of alert policy data.
    blank EmptyResponse
    A blank space.
    collapsibleGroup CollapsibleGroupResponse
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    errorReportingPanel ErrorReportingPanelResponse
    A widget that displays a list of error groups.
    incidentList IncidentListResponse
    A widget that shows list of incidents.
    logsPanel LogsPanelResponse
    A widget that shows a stream of logs.
    pieChart PieChartResponse
    A widget that displays timeseries data as a pie chart.
    scorecard ScorecardResponse
    A scorecard summarizing time series data.
    text TextResponse
    A raw string or markdown displaying textual content.
    timeSeriesTable TimeSeriesTableResponse
    A widget that displays time series data in a tabular format.
    title string
    Optional. The title of the widget.
    xyChart XyChartResponse
    A chart of time series data.
    alert_chart AlertChartResponse
    A chart of alert policy data.
    blank EmptyResponse
    A blank space.
    collapsible_group CollapsibleGroupResponse
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    error_reporting_panel ErrorReportingPanelResponse
    A widget that displays a list of error groups.
    incident_list IncidentListResponse
    A widget that shows list of incidents.
    logs_panel LogsPanelResponse
    A widget that shows a stream of logs.
    pie_chart PieChartResponse
    A widget that displays timeseries data as a pie chart.
    scorecard ScorecardResponse
    A scorecard summarizing time series data.
    text TextResponse
    A raw string or markdown displaying textual content.
    time_series_table TimeSeriesTableResponse
    A widget that displays time series data in a tabular format.
    title str
    Optional. The title of the widget.
    xy_chart XyChartResponse
    A chart of time series data.
    alertChart Property Map
    A chart of alert policy data.
    blank Property Map
    A blank space.
    collapsibleGroup Property Map
    A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
    errorReportingPanel Property Map
    A widget that displays a list of error groups.
    incidentList Property Map
    A widget that shows list of incidents.
    logsPanel Property Map
    A widget that shows a stream of logs.
    pieChart Property Map
    A widget that displays timeseries data as a pie chart.
    scorecard Property Map
    A scorecard summarizing time series data.
    text Property Map
    A raw string or markdown displaying textual content.
    timeSeriesTable Property Map
    A widget that displays time series data in a tabular format.
    title String
    Optional. The title of the widget.
    xyChart Property Map
    A chart of time series data.

    XyChartResponse

    ChartOptions Pulumi.GoogleNative.Monitoring.V1.Inputs.ChartOptionsResponse
    Display options for the chart.
    DataSets List<Pulumi.GoogleNative.Monitoring.V1.Inputs.DataSetResponse>
    The data displayed in this chart.
    Thresholds List<Pulumi.GoogleNative.Monitoring.V1.Inputs.ThresholdResponse>
    Threshold lines drawn horizontally across the chart.
    TimeshiftDuration string
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    XAxis Pulumi.GoogleNative.Monitoring.V1.Inputs.AxisResponse
    The properties applied to the x-axis.
    Y2Axis Pulumi.GoogleNative.Monitoring.V1.Inputs.AxisResponse
    The properties applied to the y2-axis.
    YAxis Pulumi.GoogleNative.Monitoring.V1.Inputs.AxisResponse
    The properties applied to the y-axis.
    ChartOptions ChartOptionsResponse
    Display options for the chart.
    DataSets []DataSetResponse
    The data displayed in this chart.
    Thresholds []ThresholdResponse
    Threshold lines drawn horizontally across the chart.
    TimeshiftDuration string
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    XAxis AxisResponse
    The properties applied to the x-axis.
    Y2Axis AxisResponse
    The properties applied to the y2-axis.
    YAxis AxisResponse
    The properties applied to the y-axis.
    chartOptions ChartOptionsResponse
    Display options for the chart.
    dataSets List<DataSetResponse>
    The data displayed in this chart.
    thresholds List<ThresholdResponse>
    Threshold lines drawn horizontally across the chart.
    timeshiftDuration String
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    xAxis AxisResponse
    The properties applied to the x-axis.
    y2Axis AxisResponse
    The properties applied to the y2-axis.
    yAxis AxisResponse
    The properties applied to the y-axis.
    chartOptions ChartOptionsResponse
    Display options for the chart.
    dataSets DataSetResponse[]
    The data displayed in this chart.
    thresholds ThresholdResponse[]
    Threshold lines drawn horizontally across the chart.
    timeshiftDuration string
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    xAxis AxisResponse
    The properties applied to the x-axis.
    y2Axis AxisResponse
    The properties applied to the y2-axis.
    yAxis AxisResponse
    The properties applied to the y-axis.
    chart_options ChartOptionsResponse
    Display options for the chart.
    data_sets Sequence[DataSetResponse]
    The data displayed in this chart.
    thresholds Sequence[ThresholdResponse]
    Threshold lines drawn horizontally across the chart.
    timeshift_duration str
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    x_axis AxisResponse
    The properties applied to the x-axis.
    y2_axis AxisResponse
    The properties applied to the y2-axis.
    y_axis AxisResponse
    The properties applied to the y-axis.
    chartOptions Property Map
    Display options for the chart.
    dataSets List<Property Map>
    The data displayed in this chart.
    thresholds List<Property Map>
    Threshold lines drawn horizontally across the chart.
    timeshiftDuration String
    The duration used to display a comparison chart. A comparison chart simultaneously shows values from two similar-length time periods (e.g., week-over-week metrics). The duration must be positive, and it can only be applied to charts with data sets of LINE plot type.
    xAxis Property Map
    The properties applied to the x-axis.
    y2Axis Property Map
    The properties applied to the y2-axis.
    yAxis Property Map
    The properties applied to the y-axis.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi