Google Cloud Native is in preview. Google Cloud Classic is fully supported.
google-native.monitoring/v1.getDashboard
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
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:
- Dashboard
Id string - Project string
- Dashboard
Id string - Project string
- dashboard
Id String - project String
- dashboard
Id string - project string
- dashboard_
id str - project str
- dashboard
Id String - project String
getDashboard Result
The following output properties are available:
- Column
Layout Pulumi.Google Native. Monitoring. V1. Outputs. Column Layout Response The content is divided into equally spaced columns and the widgets are arranged vertically.
- Dashboard
Filters List<Pulumi.Google Native. Monitoring. V1. Outputs. Dashboard Filter Response> Filters to reduce the amount of data charted based on the filter criteria.
- Display
Name 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.
- Grid
Layout Pulumi.Google Native. Monitoring. V1. Outputs. Grid Layout Response 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
- Mosaic
Layout Pulumi.Google Native. Monitoring. V1. Outputs. Mosaic Layout Response 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.
- Row
Layout Pulumi.Google Native. Monitoring. V1. Outputs. Row Layout Response The content is divided into equally spaced rows and the widgets are arranged horizontally.
- Column
Layout ColumnLayout Response The content is divided into equally spaced columns and the widgets are arranged vertically.
- Dashboard
Filters []DashboardFilter Response Filters to reduce the amount of data charted based on the filter criteria.
- Display
Name 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.
- Grid
Layout GridLayout Response 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
- Mosaic
Layout MosaicLayout Response 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.
- Row
Layout RowLayout Response The content is divided into equally spaced rows and the widgets are arranged horizontally.
- column
Layout ColumnLayout Response The content is divided into equally spaced columns and the widgets are arranged vertically.
- dashboard
Filters List<DashboardFilter Response> Filters to reduce the amount of data charted based on the filter criteria.
- display
Name 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.
- grid
Layout GridLayout Response 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
- mosaic
Layout MosaicLayout Response 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.
- row
Layout RowLayout Response The content is divided into equally spaced rows and the widgets are arranged horizontally.
- column
Layout ColumnLayout Response The content is divided into equally spaced columns and the widgets are arranged vertically.
- dashboard
Filters DashboardFilter Response[] Filters to reduce the amount of data charted based on the filter criteria.
- display
Name 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.
- grid
Layout GridLayout Response 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
- mosaic
Layout MosaicLayout Response 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.
- row
Layout RowLayout Response The content is divided into equally spaced rows and the widgets are arranged horizontally.
- column_
layout ColumnLayout Response The content is divided into equally spaced columns and the widgets are arranged vertically.
- dashboard_
filters Sequence[DashboardFilter Response] 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 GridLayout Response 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 MosaicLayout Response 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 RowLayout Response The content is divided into equally spaced rows and the widgets are arranged horizontally.
- column
Layout Property Map The content is divided into equally spaced columns and the widgets are arranged vertically.
- dashboard
Filters List<Property Map> Filters to reduce the amount of data charted based on the filter criteria.
- display
Name 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.
- grid
Layout 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
- mosaic
Layout 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.
- row
Layout Property Map The content is divided into equally spaced rows and the widgets are arranged horizontally.
Supporting Types
AggregationResponse
- Alignment
Period 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.
- Cross
Series stringReducer 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 List<string>Fields 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 stringAligner 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 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.
- Cross
Series stringReducer 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 []stringFields 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 stringAligner 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 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.
- cross
Series StringReducer 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 List<String>Fields 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 StringAligner 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 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.
- cross
Series stringReducer 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 string[]Fields 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 stringAligner 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_ strreducer 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_ Sequence[str]fields 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_ straligner 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 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.
- cross
Series StringReducer 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 List<String>Fields 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 StringAligner 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
ChartOptionsResponse
- Mode string
The chart mode.
- Mode string
The chart mode.
- mode String
The chart mode.
- mode string
The chart mode.
- mode str
The chart mode.
- 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
List<Pulumi.
Google Native. Monitoring. V1. Inputs. Column Response> The columns of content to display.
- Columns
[]Column
Response The columns of content to display.
- columns
List<Column
Response> The columns of content to display.
- columns
Column
Response[] The columns of content to display.
- columns
Sequence[Column
Response] 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.
Google Native. Monitoring. V1. Inputs. Widget Response> 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
[]Widget
Response 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<Widget
Response> 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
Widget
Response[] 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[Widget
Response] 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
DashboardFilterResponse
- Filter
Type string The specified filter type
- Label
Key string The key for the label
- String
Value string A variable-length string value.
- Template
Variable 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 string The specified filter type
- Label
Key string The key for the label
- String
Value string A variable-length string value.
- Template
Variable 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 String The specified filter type
- label
Key String The key for the label
- string
Value String A variable-length string value.
- template
Variable 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 string The specified filter type
- label
Key string The key for the label
- string
Value string A variable-length string value.
- template
Variable 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.
- filter
Type String The specified filter type
- label
Key String The key for the label
- string
Value String A variable-length string value.
- template
Variable 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
- Legend
Template 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.
- Min
Alignment stringPeriod 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 string How this data should be plotted on the chart.
- Target
Axis string Optional. The target axis to use for plotting the metric.
- Time
Series Pulumi.Query Google Native. Monitoring. V1. Inputs. Time Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- Legend
Template 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.
- Min
Alignment stringPeriod 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 string How this data should be plotted on the chart.
- Target
Axis string Optional. The target axis to use for plotting the metric.
- Time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- legend
Template 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.
- min
Alignment StringPeriod 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 String How this data should be plotted on the chart.
- target
Axis String Optional. The target axis to use for plotting the metric.
- time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- legend
Template 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.
- min
Alignment stringPeriod 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 string How this data should be plotted on the chart.
- target
Axis string Optional. The target axis to use for plotting the metric.
- time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- 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.
- min_
alignment_ strperiod 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_ Timequery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- legend
Template 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.
- min
Alignment StringPeriod 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 String How this data should be plotted on the chart.
- target
Axis String Optional. The target axis to use for plotting the metric.
- time
Series Property MapQuery Fields for querying time series data from the Stackdriver metrics API.
GaugeViewResponse
- Lower
Bound double The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.
- Upper
Bound double The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.
- Lower
Bound float64 The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.
- Upper
Bound float64 The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.
- lower
Bound Double The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.
- upper
Bound Double The upper bound for this gauge chart. The value of the chart should always be less than or equal to this.
- lower
Bound number The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.
- upper
Bound 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.
- lower
Bound Number The lower bound for this gauge chart. The value of the chart should always be greater than or equal to this.
- upper
Bound 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.
Google Native. Monitoring. V1. Inputs. Widget Response> 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
[]Widget
Response 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<Widget
Response> 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
Widget
Response[] 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[Widget
Response] 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
- Monitored
Resources List<Pulumi.Google Native. Monitoring. V1. Inputs. Monitored Resource Response> 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 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.
- Monitored
Resources []MonitoredResource Response 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 []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 List<MonitoredResource Response> 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 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.
- monitored
Resources MonitoredResource Response[] 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 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[MonitoredResource Response] 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.
- monitored
Resources 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.
- policy
Names 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.
- Resource
Names 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.
- Resource
Names []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.
- resource
Names 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.
- resource
Names 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.
- resource
Names 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.
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.
Google Native. Monitoring. V1. Inputs. Tile Response> 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
[]Tile
Response 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<Tile
Response> 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
Tile
Response[] 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[Tile
Response] 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.
PickTimeSeriesFilterResponse
- Direction string
How to use the ranking to select time series that pass through the filter.
- Num
Time intSeries How many time series to allow to pass through the filter.
- Ranking
Method 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.
- Num
Time intSeries How many time series to allow to pass through the filter.
- Ranking
Method 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.
- num
Time IntegerSeries How many time series to allow to pass through the filter.
- ranking
Method 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.
- num
Time numberSeries How many time series to allow to pass through the filter.
- ranking
Method 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_ intseries 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.
- num
Time NumberSeries How many time series to allow to pass through the filter.
- ranking
Method 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.
RatioPartResponse
- Aggregation
Pulumi.
Google Native. Monitoring. V1. Inputs. Aggregation Response 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
Aggregation
Response 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
Aggregation
Response 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
Aggregation
Response 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
Aggregation
Response 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
List<Pulumi.
Google Native. Monitoring. V1. Inputs. Row Response> The rows of content to display.
- Rows
[]Row
Response The rows of content to display.
- rows
List<Row
Response> The rows of content to display.
- rows
Row
Response[] The rows of content to display.
- rows
Sequence[Row
Response] 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.
Google Native. Monitoring. V1. Inputs. Widget Response> 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
[]Widget
Response 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<Widget
Response> 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
Widget
Response[] 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[Widget
Response] 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
- Gauge
View Pulumi.Google Native. Monitoring. V1. Inputs. Gauge View Response Will cause the scorecard to show a gauge chart.
- Spark
Chart Pulumi.View Google Native. Monitoring. V1. Inputs. Spark Chart View Response Will cause the scorecard to show a spark chart.
- Thresholds
List<Pulumi.
Google Native. Monitoring. V1. Inputs. Threshold Response> 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 Pulumi.Query Google Native. Monitoring. V1. Inputs. Time Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- Gauge
View GaugeView Response Will cause the scorecard to show a gauge chart.
- Spark
Chart SparkView Chart View Response Will cause the scorecard to show a spark chart.
- Thresholds
[]Threshold
Response 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 TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- gauge
View GaugeView Response Will cause the scorecard to show a gauge chart.
- spark
Chart SparkView Chart View Response Will cause the scorecard to show a spark chart.
- thresholds
List<Threshold
Response> 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 TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- gauge
View GaugeView Response Will cause the scorecard to show a gauge chart.
- spark
Chart SparkView Chart View Response Will cause the scorecard to show a spark chart.
- thresholds
Threshold
Response[] 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 TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- gauge_
view GaugeView Response Will cause the scorecard to show a gauge chart.
- spark_
chart_ Sparkview Chart View Response Will cause the scorecard to show a spark chart.
- thresholds
Sequence[Threshold
Response] 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_ Timequery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- gauge
View Property Map Will cause the scorecard to show a gauge chart.
- spark
Chart Property MapView 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.
- time
Series Property MapQuery Fields for querying time series data from the Stackdriver metrics API.
SparkChartViewResponse
- Min
Alignment stringPeriod 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 stringType The type of sparkchart to show in this chartView.
- Min
Alignment stringPeriod 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 stringType The type of sparkchart to show in this chartView.
- min
Alignment StringPeriod 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 StringType The type of sparkchart to show in this chartView.
- min
Alignment stringPeriod 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 stringType The type of sparkchart to show in this chartView.
- min_
alignment_ strperiod 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_ strtype The type of sparkchart to show in this chartView.
- min
Alignment StringPeriod 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 StringType The type of sparkchart to show in this chartView.
StatisticalTimeSeriesFilterResponse
- Num
Time intSeries How many time series to output.
- Ranking
Method 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 intSeries How many time series to output.
- Ranking
Method 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 IntegerSeries How many time series to output.
- ranking
Method 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 numberSeries How many time series to output.
- ranking
Method 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_ intseries 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.
- num
Time NumberSeries How many time series to output.
- ranking
Method 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
- Min
Alignment stringPeriod 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 Pulumi.Options Google Native. Monitoring. V1. Inputs. Table Display Options Response Optional. Table display options for configuring how the table is rendered.
- Table
Template 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}."
- Time
Series Pulumi.Query Google Native. Monitoring. V1. Inputs. Time Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- Min
Alignment stringPeriod 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 TableOptions Display Options Response Optional. Table display options for configuring how the table is rendered.
- Table
Template 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}."
- Time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- min
Alignment StringPeriod 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 TableOptions Display Options Response Optional. Table display options for configuring how the table is rendered.
- table
Template 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}."
- time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- min
Alignment stringPeriod 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 TableOptions Display Options Response Optional. Table display options for configuring how the table is rendered.
- table
Template 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}."
- time
Series TimeQuery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- min_
alignment_ strperiod 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_ Tableoptions Display Options Response 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_ Timequery Series Query Response Fields for querying time series data from the Stackdriver metrics API.
- min
Alignment StringPeriod 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 Property MapOptions Optional. Table display options for configuring how the table is rendered.
- table
Template 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}."
- time
Series Property MapQuery Fields for querying time series data from the Stackdriver metrics API.
TableDisplayOptionsResponse
- Shown
Columns List<string> Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings
- Shown
Columns []string Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings
- shown
Columns List<String> Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings
- shown
Columns 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
- shown
Columns List<String> Optional. This field is unused and has been replaced by TimeSeriesTable.column_settings
TextResponse
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.
- Target
Axis 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.
- Target
Axis 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.
- target
Axis 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.
- target
Axis 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.
- target
Axis 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.
Google Native. Monitoring. V1. Inputs. Widget Response 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
Widget
Response 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
Widget
Response 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.
- x
Pos 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.
- y
Pos 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
Widget
Response 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.
- x
Pos 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.
- y
Pos 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
Widget
Response 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.
- x
Pos 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.
- y
Pos 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.
Google Native. Monitoring. V1. Inputs. Ratio Part Response The denominator of the ratio.
- Numerator
Pulumi.
Google Native. Monitoring. V1. Inputs. Ratio Part Response The numerator of the ratio.
- Pick
Time Pulumi.Series Filter Google Native. Monitoring. V1. Inputs. Pick Time Series Filter Response Ranking based time series filter.
- Secondary
Aggregation Pulumi.Google Native. Monitoring. V1. Inputs. Aggregation Response Apply a second aggregation after the ratio is computed.
- Statistical
Time Pulumi.Series Filter Google Native. Monitoring. V1. Inputs. Statistical Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- Denominator
Ratio
Part Response The denominator of the ratio.
- Numerator
Ratio
Part Response The numerator of the ratio.
- Pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- Secondary
Aggregation AggregationResponse Apply a second aggregation after the ratio is computed.
- Statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- denominator
Ratio
Part Response The denominator of the ratio.
- numerator
Ratio
Part Response The numerator of the ratio.
- pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- secondary
Aggregation AggregationResponse Apply a second aggregation after the ratio is computed.
- statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- denominator
Ratio
Part Response The denominator of the ratio.
- numerator
Ratio
Part Response The numerator of the ratio.
- pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- secondary
Aggregation AggregationResponse Apply a second aggregation after the ratio is computed.
- statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- denominator
Ratio
Part Response The denominator of the ratio.
- numerator
Ratio
Part Response The numerator of the ratio.
- pick_
time_ Pickseries_ filter Time Series Filter Response Ranking based time series filter.
- secondary_
aggregation AggregationResponse Apply a second aggregation after the ratio is computed.
- statistical_
time_ Statisticalseries_ filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
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.
- pick
Time Property MapSeries Filter Ranking based time series filter.
- secondary
Aggregation Property Map Apply a second aggregation after the ratio is computed.
- statistical
Time Property MapSeries Filter Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
TimeSeriesFilterResponse
- Aggregation
Pulumi.
Google Native. Monitoring. V1. Inputs. Aggregation Response 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.
- Pick
Time Pulumi.Series Filter Google Native. Monitoring. V1. Inputs. Pick Time Series Filter Response Ranking based time series filter.
- Secondary
Aggregation Pulumi.Google Native. Monitoring. V1. Inputs. Aggregation Response Apply a second aggregation after aggregation is applied.
- Statistical
Time Pulumi.Series Filter Google Native. Monitoring. V1. Inputs. Statistical Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- Aggregation
Aggregation
Response 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.
- Pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- Secondary
Aggregation AggregationResponse Apply a second aggregation after aggregation is applied.
- Statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- aggregation
Aggregation
Response 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.
- pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- secondary
Aggregation AggregationResponse Apply a second aggregation after aggregation is applied.
- statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- aggregation
Aggregation
Response 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.
- pick
Time PickSeries Filter Time Series Filter Response Ranking based time series filter.
- secondary
Aggregation AggregationResponse Apply a second aggregation after aggregation is applied.
- statistical
Time StatisticalSeries Filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
- aggregation
Aggregation
Response 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_ Pickseries_ filter Time Series Filter Response Ranking based time series filter.
- secondary_
aggregation AggregationResponse Apply a second aggregation after aggregation is applied.
- statistical_
time_ Statisticalseries_ filter Time Series Filter Response Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
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.
- pick
Time Property MapSeries Filter Ranking based time series filter.
- secondary
Aggregation Property Map Apply a second aggregation after aggregation is applied.
- statistical
Time Property MapSeries Filter Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
Statistics based time series filter. Note: This field is deprecated and completely ignored by the API.
TimeSeriesQueryResponse
- Prometheus
Query string A query used to fetch time series with PromQL.
- Time
Series Pulumi.Filter Google Native. Monitoring. V1. Inputs. Time Series Filter Response Filter parameters to fetch time series.
- Time
Series Pulumi.Filter Ratio Google Native. Monitoring. V1. Inputs. Time Series Filter Ratio Response Parameters to fetch a ratio between two time series filters.
- Time
Series stringQuery Language A query used to fetch time series with MQL.
- Unit
Override 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.
- Prometheus
Query string A query used to fetch time series with PromQL.
- Time
Series TimeFilter Series Filter Response Filter parameters to fetch time series.
- Time
Series TimeFilter Ratio Series Filter Ratio Response Parameters to fetch a ratio between two time series filters.
- Time
Series stringQuery Language A query used to fetch time series with MQL.
- Unit
Override 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.
- prometheus
Query String A query used to fetch time series with PromQL.
- time
Series TimeFilter Series Filter Response Filter parameters to fetch time series.
- time
Series TimeFilter Ratio Series Filter Ratio Response Parameters to fetch a ratio between two time series filters.
- time
Series StringQuery Language A query used to fetch time series with MQL.
- unit
Override 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.
- prometheus
Query string A query used to fetch time series with PromQL.
- time
Series TimeFilter Series Filter Response Filter parameters to fetch time series.
- time
Series TimeFilter Ratio Series Filter Ratio Response Parameters to fetch a ratio between two time series filters.
- time
Series stringQuery Language A query used to fetch time series with MQL.
- unit
Override 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.
- prometheus_
query str A query used to fetch time series with PromQL.
- time_
series_ Timefilter Series Filter Response Filter parameters to fetch time series.
- time_
series_ Timefilter_ ratio Series Filter Ratio Response Parameters to fetch a ratio between two time series filters.
- time_
series_ strquery_ language 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.
- prometheus
Query String A query used to fetch time series with PromQL.
- time
Series Property MapFilter Filter parameters to fetch time series.
- time
Series Property MapFilter Ratio Parameters to fetch a ratio between two time series filters.
- time
Series StringQuery Language A query used to fetch time series with MQL.
- unit
Override 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
- Column
Settings List<Pulumi.Google Native. Monitoring. V1. Inputs. Column Settings Response> Optional. The list of the persistent column settings for the table.
- Data
Sets List<Pulumi.Google Native. Monitoring. V1. Inputs. Table Data Set Response> The data displayed in this table.
- Metric
Visualization string Optional. Store rendering strategy
- Column
Settings []ColumnSettings Response Optional. The list of the persistent column settings for the table.
- Data
Sets []TableData Set Response The data displayed in this table.
- Metric
Visualization string Optional. Store rendering strategy
- column
Settings List<ColumnSettings Response> Optional. The list of the persistent column settings for the table.
- data
Sets List<TableData Set Response> The data displayed in this table.
- metric
Visualization String Optional. Store rendering strategy
- column
Settings ColumnSettings Response[] Optional. The list of the persistent column settings for the table.
- data
Sets TableData Set Response[] The data displayed in this table.
- metric
Visualization string Optional. Store rendering strategy
- column_
settings Sequence[ColumnSettings Response] Optional. The list of the persistent column settings for the table.
- data_
sets Sequence[TableData Set Response] The data displayed in this table.
- metric_
visualization str Optional. Store rendering strategy
- column
Settings List<Property Map> Optional. The list of the persistent column settings for the table.
- data
Sets List<Property Map> The data displayed in this table.
- metric
Visualization String Optional. Store rendering strategy
WidgetResponse
- Alert
Chart Pulumi.Google Native. Monitoring. V1. Inputs. Alert Chart Response A chart of alert policy data.
- Blank
Pulumi.
Google Native. Monitoring. V1. Inputs. Empty Response A blank space.
- Collapsible
Group Pulumi.Google Native. Monitoring. V1. Inputs. Collapsible Group Response A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
- Incident
List Pulumi.Google Native. Monitoring. V1. Inputs. Incident List Response A widget that shows list of incidents.
- Logs
Panel Pulumi.Google Native. Monitoring. V1. Inputs. Logs Panel Response A widget that shows a stream of logs.
- Scorecard
Pulumi.
Google Native. Monitoring. V1. Inputs. Scorecard Response A scorecard summarizing time series data.
- Text
Pulumi.
Google Native. Monitoring. V1. Inputs. Text Response A raw string or markdown displaying textual content.
- Time
Series Pulumi.Table Google Native. Monitoring. V1. Inputs. Time Series Table Response A widget that displays time series data in a tabular format.
- Title string
Optional. The title of the widget.
- Xy
Chart Pulumi.Google Native. Monitoring. V1. Inputs. Xy Chart Response A chart of time series data.
- Alert
Chart AlertChart Response A chart of alert policy data.
- Blank
Empty
Response A blank space.
- Collapsible
Group CollapsibleGroup Response A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
- Incident
List IncidentList Response A widget that shows list of incidents.
- Logs
Panel LogsPanel Response A widget that shows a stream of logs.
- Scorecard
Scorecard
Response A scorecard summarizing time series data.
- Text
Text
Response A raw string or markdown displaying textual content.
- Time
Series TimeTable Series Table Response A widget that displays time series data in a tabular format.
- Title string
Optional. The title of the widget.
- Xy
Chart XyChart Response A chart of time series data.
- alert
Chart AlertChart Response A chart of alert policy data.
- blank
Empty
Response A blank space.
- collapsible
Group CollapsibleGroup Response A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
- incident
List IncidentList Response A widget that shows list of incidents.
- logs
Panel LogsPanel Response A widget that shows a stream of logs.
- scorecard
Scorecard
Response A scorecard summarizing time series data.
- text
Text
Response A raw string or markdown displaying textual content.
- time
Series TimeTable Series Table Response A widget that displays time series data in a tabular format.
- title String
Optional. The title of the widget.
- xy
Chart XyChart Response A chart of time series data.
- alert
Chart AlertChart Response A chart of alert policy data.
- blank
Empty
Response A blank space.
- collapsible
Group CollapsibleGroup Response A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
- incident
List IncidentList Response A widget that shows list of incidents.
- logs
Panel LogsPanel Response A widget that shows a stream of logs.
- scorecard
Scorecard
Response A scorecard summarizing time series data.
- text
Text
Response A raw string or markdown displaying textual content.
- time
Series TimeTable Series Table Response A widget that displays time series data in a tabular format.
- title string
Optional. The title of the widget.
- xy
Chart XyChart Response A chart of time series data.
- alert_
chart AlertChart Response A chart of alert policy data.
- blank
Empty
Response A blank space.
- collapsible_
group CollapsibleGroup Response A widget that groups the other widgets. All widgets that are within the area spanned by the grouping widget are considered member widgets.
- incident_
list IncidentList Response A widget that shows list of incidents.
- logs_
panel LogsPanel Response A widget that shows a stream of logs.
- scorecard
Scorecard
Response A scorecard summarizing time series data.
- text
Text
Response A raw string or markdown displaying textual content.
- time_
series_ Timetable Series Table Response A widget that displays time series data in a tabular format.
- title str
Optional. The title of the widget.
- xy_
chart XyChart Response A chart of time series data.
- alert
Chart Property Map A chart of alert policy data.
- blank Property Map
A blank space.
- collapsible
Group 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.
- incident
List Property Map A widget that shows list of incidents.
- logs
Panel Property Map A widget that shows a stream of logs.
- scorecard Property Map
A scorecard summarizing time series data.
- text Property Map
A raw string or markdown displaying textual content.
- time
Series Property MapTable A widget that displays time series data in a tabular format.
- title String
Optional. The title of the widget.
- xy
Chart Property Map A chart of time series data.
XyChartResponse
- Chart
Options Pulumi.Google Native. Monitoring. V1. Inputs. Chart Options Response Display options for the chart.
- Data
Sets List<Pulumi.Google Native. Monitoring. V1. Inputs. Data Set Response> The data displayed in this chart.
- Thresholds
List<Pulumi.
Google Native. Monitoring. V1. Inputs. Threshold Response> Threshold lines drawn horizontally across the chart.
- Timeshift
Duration 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.
Google Native. Monitoring. V1. Inputs. Axis Response The properties applied to the x-axis.
- Y2Axis
Pulumi.
Google Native. Monitoring. V1. Inputs. Axis Response The properties applied to the y2-axis.
- YAxis
Pulumi.
Google Native. Monitoring. V1. Inputs. Axis Response The properties applied to the y-axis.
- Chart
Options ChartOptions Response Display options for the chart.
- Data
Sets []DataSet Response The data displayed in this chart.
- Thresholds
[]Threshold
Response Threshold lines drawn horizontally across the chart.
- Timeshift
Duration 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
Axis
Response The properties applied to the x-axis.
- Y2Axis
Axis
Response The properties applied to the y2-axis.
- YAxis
Axis
Response The properties applied to the y-axis.
- chart
Options ChartOptions Response Display options for the chart.
- data
Sets List<DataSet Response> The data displayed in this chart.
- thresholds
List<Threshold
Response> Threshold lines drawn horizontally across the chart.
- timeshift
Duration 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.
- x
Axis AxisResponse The properties applied to the x-axis.
- y2Axis
Axis
Response The properties applied to the y2-axis.
- y
Axis AxisResponse The properties applied to the y-axis.
- chart
Options ChartOptions Response Display options for the chart.
- data
Sets DataSet Response[] The data displayed in this chart.
- thresholds
Threshold
Response[] Threshold lines drawn horizontally across the chart.
- timeshift
Duration 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.
- x
Axis AxisResponse The properties applied to the x-axis.
- y2Axis
Axis
Response The properties applied to the y2-axis.
- y
Axis AxisResponse The properties applied to the y-axis.
- chart_
options ChartOptions Response Display options for the chart.
- data_
sets Sequence[DataSet Response] The data displayed in this chart.
- thresholds
Sequence[Threshold
Response] 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.
- chart
Options Property Map Display options for the chart.
- data
Sets List<Property Map> The data displayed in this chart.
- thresholds List<Property Map>
Threshold lines drawn horizontally across the chart.
- timeshift
Duration 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.
- x
Axis Property Map The properties applied to the x-axis.
- y2Axis Property Map
The properties applied to the y2-axis.
- y
Axis Property Map The properties applied to the y-axis.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.