From bd32149f308467f0f659119587afc77dcec65b14 Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 27 Jul 2021 07:06:59 +0000 Subject: [PATCH] feat(monitoring): update the api #### monitoring:v1 The following keys were added: - resources.locations.resources.global.resources.metricsScopes.methods.get (Total Keys: 11) - resources.locations.resources.global.resources.metricsScopes.methods.listMetricScopesByMonitoredProject (Total Keys: 9) - resources.locations.resources.global.resources.metricsScopes.resources.projects.methods.create (Total Keys: 12) - resources.locations.resources.global.resources.metricsScopes.resources.projects.methods.delete (Total Keys: 11) - schemas.ListMetricsScopesByMonitoredProjectResponse (Total Keys: 4) - schemas.MetricsScope (Total Keys: 12) - schemas.MonitoredProject (Total Keys: 6) --- docs/dyn/monitoring_v1.html | 5 + docs/dyn/monitoring_v1.locations.global_.html | 91 +++++++++ ...ng_v1.locations.global_.metricsScopes.html | 155 ++++++++++++++ ...ations.global_.metricsScopes.projects.html | 170 ++++++++++++++++ docs/dyn/monitoring_v1.locations.html | 91 +++++++++ ...ng_v3.services.serviceLevelObjectives.html | 96 ++++----- .../documents/monitoring.v1.json | 189 +++++++++++++++++- .../documents/monitoring.v3.json | 8 +- 8 files changed, 752 insertions(+), 53 deletions(-) create mode 100644 docs/dyn/monitoring_v1.locations.global_.html create mode 100644 docs/dyn/monitoring_v1.locations.global_.metricsScopes.html create mode 100644 docs/dyn/monitoring_v1.locations.global_.metricsScopes.projects.html create mode 100644 docs/dyn/monitoring_v1.locations.html diff --git a/docs/dyn/monitoring_v1.html b/docs/dyn/monitoring_v1.html index 7b97a7b2a67..cd5906992ff 100644 --- a/docs/dyn/monitoring_v1.html +++ b/docs/dyn/monitoring_v1.html @@ -74,6 +74,11 @@

Cloud Monitoring API

Instance Methods

+

+ locations() +

+

Returns the locations Resource.

+

operations()

diff --git a/docs/dyn/monitoring_v1.locations.global_.html b/docs/dyn/monitoring_v1.locations.global_.html new file mode 100644 index 00000000000..b52054d65ea --- /dev/null +++ b/docs/dyn/monitoring_v1.locations.global_.html @@ -0,0 +1,91 @@ + + + +

Cloud Monitoring API . locations . global_

+

Instance Methods

+

+ metricsScopes() +

+

Returns the metricsScopes Resource.

+ +

+ close()

+

Close httplib2 connections.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ + \ No newline at end of file diff --git a/docs/dyn/monitoring_v1.locations.global_.metricsScopes.html b/docs/dyn/monitoring_v1.locations.global_.metricsScopes.html new file mode 100644 index 00000000000..8c35e5c7de4 --- /dev/null +++ b/docs/dyn/monitoring_v1.locations.global_.metricsScopes.html @@ -0,0 +1,155 @@ + + + +

Cloud Monitoring API . locations . global_ . metricsScopes

+

Instance Methods

+

+ projects() +

+

Returns the projects Resource.

+ +

+ close()

+

Close httplib2 connections.

+

+ get(name, x__xgafv=None)

+

Returns a specific Metrics Scope.

+

+ listMetricScopesByMonitoredProject(monitoredResourceContainer=None, x__xgafv=None)

+

Returns a list of every Metrics Scope that a specific MonitoredProject has been added to. The metrics scope representing the specified monitored project will always be the first entry in the response.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ +
+ get(name, x__xgafv=None) + 
Returns a specific Metrics Scope.
+
+Args:
+  name: string, Required. The resource name of the Metrics Scope. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER} (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents a Metrics Scope (https://cloud.google.com/monitoring/settings#concept-scope) in Cloud Monitoring, which specifies one or more Google projects and zero or more AWS accounts to monitor together.
+  "createTime": "A String", # Output only. The time when this Metrics Scope was created.
+  "monitoredProjects": [ # Output only. The list of projects monitored by this Metrics Scope.
+    { # A project being monitored (https://cloud.google.com/monitoring/settings/multiple-projects#create-multi) by a Metrics Scope.
+      "createTime": "A String", # Output only. The time when this MonitoredProject was created.
+      "name": "A String", # Immutable. The resource name of the MonitoredProject. On input, the resource name includes the scoping project ID and monitored project ID. On output, it contains the equivalent project numbers. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}
+    },
+  ],
+  "name": "A String", # Immutable. The resource name of the Monitoring Metrics Scope. On input, the resource name can be specified with the scoping project ID or number. On output, the resource name is specified with the scoping project number. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}
+  "updateTime": "A String", # Output only. The time when this Metrics Scope record was last updated.
+}
+
+ +
+ listMetricScopesByMonitoredProject(monitoredResourceContainer=None, x__xgafv=None) + 
Returns a list of every Metrics Scope that a specific MonitoredProject has been added to. The metrics scope representing the specified monitored project will always be the first entry in the response.
+
+Args:
+  monitoredResourceContainer: string, Required. The resource name of the Monitored Project being requested. Example: projects/{MONITORED_PROJECT_ID_OR_NUMBER}
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response for the ListMetricsScopesByMonitoredProject method.
+  "metricsScopes": [ # A set of all metrics scopes that the specified monitored project has been added to.
+    { # Represents a Metrics Scope (https://cloud.google.com/monitoring/settings#concept-scope) in Cloud Monitoring, which specifies one or more Google projects and zero or more AWS accounts to monitor together.
+      "createTime": "A String", # Output only. The time when this Metrics Scope was created.
+      "monitoredProjects": [ # Output only. The list of projects monitored by this Metrics Scope.
+        { # A project being monitored (https://cloud.google.com/monitoring/settings/multiple-projects#create-multi) by a Metrics Scope.
+          "createTime": "A String", # Output only. The time when this MonitoredProject was created.
+          "name": "A String", # Immutable. The resource name of the MonitoredProject. On input, the resource name includes the scoping project ID and monitored project ID. On output, it contains the equivalent project numbers. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}
+        },
+      ],
+      "name": "A String", # Immutable. The resource name of the Monitoring Metrics Scope. On input, the resource name can be specified with the scoping project ID or number. On output, the resource name is specified with the scoping project number. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}
+      "updateTime": "A String", # Output only. The time when this Metrics Scope record was last updated.
+    },
+  ],
+}
+
+ + \ No newline at end of file diff --git a/docs/dyn/monitoring_v1.locations.global_.metricsScopes.projects.html b/docs/dyn/monitoring_v1.locations.global_.metricsScopes.projects.html new file mode 100644 index 00000000000..5f273409141 --- /dev/null +++ b/docs/dyn/monitoring_v1.locations.global_.metricsScopes.projects.html @@ -0,0 +1,170 @@ + + + +

Cloud Monitoring API . locations . global_ . metricsScopes . projects

+

Instance Methods

+

+ close()

+

Close httplib2 connections.

+

+ create(parent, body=None, x__xgafv=None)

+

Adds a MonitoredProject with the given project ID to the specified Metrics Scope.

+

+ delete(name, x__xgafv=None)

+

Deletes a MonitoredProject from the specified Metrics Scope.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ +
+ create(parent, body=None, x__xgafv=None) + 
Adds a MonitoredProject with the given project ID to the specified Metrics Scope.
+
+Args:
+  parent: string, Required. The resource name of the existing Metrics Scope that will monitor this project. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # A project being monitored (https://cloud.google.com/monitoring/settings/multiple-projects#create-multi) by a Metrics Scope.
+  "createTime": "A String", # Output only. The time when this MonitoredProject was created.
+  "name": "A String", # Immutable. The resource name of the MonitoredProject. On input, the resource name includes the scoping project ID and monitored project ID. On output, it contains the equivalent project numbers. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
+  "error": { # The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC (https://github.com/grpc). Each Status message contains three pieces of data: error code, error message, and error details.You can find out more about this error model and how to work with it in the API Design Guide (https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
+  "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ delete(name, x__xgafv=None) + 
Deletes a MonitoredProject from the specified Metrics Scope.
+
+Args:
+  name: string, Required. The resource name of the MonitoredProject. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}Authorization requires the following Google IAM (https://cloud.google.com/iam) permissions on both the Metrics Scope and on the MonitoredProject: monitoring.metricsScopes.link (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
+  "error": { # The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC (https://github.com/grpc). Each Status message contains three pieces of data: error code, error message, and error details.You can find out more about this error model and how to work with it in the API Design Guide (https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
+  "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ + \ No newline at end of file diff --git a/docs/dyn/monitoring_v1.locations.html b/docs/dyn/monitoring_v1.locations.html new file mode 100644 index 00000000000..e808e64d3ab --- /dev/null +++ b/docs/dyn/monitoring_v1.locations.html @@ -0,0 +1,91 @@ + + + +

Cloud Monitoring API . locations

+

Instance Methods

+

+ global_() +

+

Returns the global_ Resource.

+ +

+ close()

+

Close httplib2 connections.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ + \ No newline at end of file diff --git a/docs/dyn/monitoring_v3.services.serviceLevelObjectives.html b/docs/dyn/monitoring_v3.services.serviceLevelObjectives.html index bc05437f8b2..053603f8af3 100644 --- a/docs/dyn/monitoring_v3.services.serviceLevelObjectives.html +++ b/docs/dyn/monitoring_v3.services.serviceLevelObjectives.html @@ -134,9 +134,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -167,9 +167,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -182,15 +182,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -237,9 +237,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -270,9 +270,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -285,15 +285,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -369,9 +369,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -402,9 +402,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -417,15 +417,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -489,9 +489,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -522,9 +522,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -537,15 +537,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -609,9 +609,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -642,9 +642,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -657,15 +657,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -712,9 +712,9 @@

Method Details

], }, "requestBased": { # Service Level Indicators for which atomic units of service are counted directly. # Request-based SLIs - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -745,9 +745,9 @@

Method Details

], }, "performance": { # Service Level Indicators for which atomic units of service are counted directly. # RequestBasedSli to evaluate to judge window quality. - "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. + "distributionCut": { # A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max. # distribution_cut is used when good_service is a count of values aggregated in a Distribution that fall into a good range. The total_service is the total count of all values aggregated in the Distribution. "distributionFilter": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying a TimeSeries aggregating values. Must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, @@ -760,15 +760,15 @@

Method Details

}, "threshold": 3.14, # If window performance >= threshold, the window is counted as good. }, - "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricMeanInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, averaged across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, "timeSeries": "A String", # A monitoring filter (https://cloud.google.com/monitoring/api/v3/filters) specifying the TimeSeries to use for evaluating window quality. }, - "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. - "range": { # Range of numerical values, inclusive of min and exclusive of max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. + "metricSumInRange": { # A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE. # A window is good if the metric's value is in a good range, summed across returned streams. + "range": { # Range of numerical values within min and max. If the open range "< range.max" is desired, set range.min = -infinity. If the open range ">= range.min" is desired, set range.max = infinity. # Range of values considered "good." For a one-sided range, set one bound to an infinite value. "max": 3.14, # Range maximum. "min": 3.14, # Range minimum. }, diff --git a/googleapiclient/discovery_cache/documents/monitoring.v1.json b/googleapiclient/discovery_cache/documents/monitoring.v1.json index b7486450176..b66e4d64995 100644 --- a/googleapiclient/discovery_cache/documents/monitoring.v1.json +++ b/googleapiclient/discovery_cache/documents/monitoring.v1.json @@ -114,6 +114,131 @@ }, "protocol": "rest", "resources": { + "locations": { + "resources": { + "global": { + "resources": { + "metricsScopes": { + "methods": { + "get": { + "description": "Returns a specific Metrics Scope.", + "flatPath": "v1/locations/global/metricsScopes/{metricsScopesId}", + "httpMethod": "GET", + "id": "monitoring.locations.global.metricsScopes.get", + "parameterOrder": [ + "name" + ], + "parameters": { + "name": { + "description": "Required. The resource name of the Metrics Scope. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}", + "location": "path", + "pattern": "^locations/global/metricsScopes/[^/]+$", + "required": true, + "type": "string" + } + }, + "path": "v1/{+name}", + "response": { + "$ref": "MetricsScope" + }, + "scopes": [ + "https://www.googleapis.com/auth/cloud-platform", + "https://www.googleapis.com/auth/monitoring", + "https://www.googleapis.com/auth/monitoring.read" + ] + }, + "listMetricScopesByMonitoredProject": { + "description": "Returns a list of every Metrics Scope that a specific MonitoredProject has been added to. The metrics scope representing the specified monitored project will always be the first entry in the response.", + "flatPath": "v1/locations/global/metricsScopes:listMetricScopesByMonitoredProject", + "httpMethod": "GET", + "id": "monitoring.locations.global.metricsScopes.listMetricScopesByMonitoredProject", + "parameterOrder": [], + "parameters": { + "monitoredResourceContainer": { + "description": "Required. The resource name of the Monitored Project being requested. Example: projects/{MONITORED_PROJECT_ID_OR_NUMBER}", + "location": "query", + "type": "string" + } + }, + "path": "v1/locations/global/metricsScopes:listMetricScopesByMonitoredProject", + "response": { + "$ref": "ListMetricsScopesByMonitoredProjectResponse" + }, + "scopes": [ + "https://www.googleapis.com/auth/cloud-platform", + "https://www.googleapis.com/auth/monitoring", + "https://www.googleapis.com/auth/monitoring.read" + ] + } + }, + "resources": { + "projects": { + "methods": { + "create": { + "description": "Adds a MonitoredProject with the given project ID to the specified Metrics Scope.", + "flatPath": "v1/locations/global/metricsScopes/{metricsScopesId}/projects", + "httpMethod": "POST", + "id": "monitoring.locations.global.metricsScopes.projects.create", + "parameterOrder": [ + "parent" + ], + "parameters": { + "parent": { + "description": "Required. The resource name of the existing Metrics Scope that will monitor this project. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}", + "location": "path", + "pattern": "^locations/global/metricsScopes/[^/]+$", + "required": true, + "type": "string" + } + }, + "path": "v1/{+parent}/projects", + "request": { + "$ref": "MonitoredProject" + }, + "response": { + "$ref": "Operation" + }, + "scopes": [ + "https://www.googleapis.com/auth/cloud-platform", + "https://www.googleapis.com/auth/monitoring", + "https://www.googleapis.com/auth/monitoring.write" + ] + }, + "delete": { + "description": "Deletes a MonitoredProject from the specified Metrics Scope.", + "flatPath": "v1/locations/global/metricsScopes/{metricsScopesId}/projects/{projectsId}", + "httpMethod": "DELETE", + "id": "monitoring.locations.global.metricsScopes.projects.delete", + "parameterOrder": [ + "name" + ], + "parameters": { + "name": { + "description": "Required. The resource name of the MonitoredProject. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}Authorization requires the following Google IAM (https://cloud.google.com/iam) permissions on both the Metrics Scope and on the MonitoredProject: monitoring.metricsScopes.link", + "location": "path", + "pattern": "^locations/global/metricsScopes/[^/]+/projects/[^/]+$", + "required": true, + "type": "string" + } + }, + "path": "v1/{+name}", + "response": { + "$ref": "Operation" + }, + "scopes": [ + "https://www.googleapis.com/auth/cloud-platform", + "https://www.googleapis.com/auth/monitoring", + "https://www.googleapis.com/auth/monitoring.write" + ] + } + } + } + } + } + } + } + } + }, "operations": { "methods": { "get": { @@ -316,7 +441,7 @@ } } }, - "revision": "20210712", + "revision": "20210720", "rootUrl": "https://monitoring.googleapis.com/", "schemas": { "Aggregation": { @@ -765,6 +890,68 @@ }, "type": "object" }, + "ListMetricsScopesByMonitoredProjectResponse": { + "description": "Response for the ListMetricsScopesByMonitoredProject method.", + "id": "ListMetricsScopesByMonitoredProjectResponse", + "properties": { + "metricsScopes": { + "description": "A set of all metrics scopes that the specified monitored project has been added to.", + "items": { + "$ref": "MetricsScope" + }, + "type": "array" + } + }, + "type": "object" + }, + "MetricsScope": { + "description": "Represents a Metrics Scope (https://cloud.google.com/monitoring/settings#concept-scope) in Cloud Monitoring, which specifies one or more Google projects and zero or more AWS accounts to monitor together.", + "id": "MetricsScope", + "properties": { + "createTime": { + "description": "Output only. The time when this Metrics Scope was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "monitoredProjects": { + "description": "Output only. The list of projects monitored by this Metrics Scope.", + "items": { + "$ref": "MonitoredProject" + }, + "readOnly": true, + "type": "array" + }, + "name": { + "description": "Immutable. The resource name of the Monitoring Metrics Scope. On input, the resource name can be specified with the scoping project ID or number. On output, the resource name is specified with the scoping project number. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}", + "type": "string" + }, + "updateTime": { + "description": "Output only. The time when this Metrics Scope record was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + } + }, + "type": "object" + }, + "MonitoredProject": { + "description": "A project being monitored (https://cloud.google.com/monitoring/settings/multiple-projects#create-multi) by a Metrics Scope.", + "id": "MonitoredProject", + "properties": { + "createTime": { + "description": "Output only. The time when this MonitoredProject was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "name": { + "description": "Immutable. The resource name of the MonitoredProject. On input, the resource name includes the scoping project ID and monitored project ID. On output, it contains the equivalent project numbers. Example: locations/global/metricsScopes/{SCOPING_PROJECT_ID_OR_NUMBER}/projects/{MONITORED_PROJECT_ID_OR_NUMBER}", + "type": "string" + } + }, + "type": "object" + }, "MosaicLayout": { "description": "A mosaic layout divides the available space into a grid of blocks, and overlays the grid with tiles. Unlike GridLayout, tiles may span multiple grid blocks and can be placed at arbitrary locations in the grid.", "id": "MosaicLayout", diff --git a/googleapiclient/discovery_cache/documents/monitoring.v3.json b/googleapiclient/discovery_cache/documents/monitoring.v3.json index 188ad133710..9c5dd6f00e6 100644 --- a/googleapiclient/discovery_cache/documents/monitoring.v3.json +++ b/googleapiclient/discovery_cache/documents/monitoring.v3.json @@ -2541,7 +2541,7 @@ } } }, - "revision": "20210712", + "revision": "20210720", "rootUrl": "https://monitoring.googleapis.com/", "schemas": { "Aggregation": { @@ -3162,7 +3162,7 @@ "type": "object" }, "DistributionCut": { - "description": "A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the count of values x in the Distribution such that range.min <= x < range.max.", + "description": "A DistributionCut defines a TimeSeries and thresholds used for measuring good service and total service. The TimeSeries must have ValueType = DISTRIBUTION and MetricKind = DELTA or MetricKind = CUMULATIVE. The computed good_service will be the estimated count of values in the Distribution that fall within the specified min and max.", "id": "DistributionCut", "properties": { "distributionFilter": { @@ -3427,7 +3427,7 @@ "type": "object" }, "GoogleMonitoringV3Range": { - "description": "Range of numerical values, inclusive of min and exclusive of max. If the open range \"< range.max\" is desired, set range.min = -infinity. If the open range \">= range.min\" is desired, set range.max = infinity.", + "description": "Range of numerical values within min and max. If the open range \"< range.max\" is desired, set range.min = -infinity. If the open range \">= range.min\" is desired, set range.max = infinity.", "id": "GoogleMonitoringV3Range", "properties": { "max": { @@ -4161,7 +4161,7 @@ "type": "object" }, "MetricRange": { - "description": "A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x < range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE.", + "description": "A MetricRange is used when each window is good when the value x of a single TimeSeries satisfies range.min <= x <= range.max. The provided TimeSeries must have ValueType = INT64 or ValueType = DOUBLE and MetricKind = GAUGE.", "id": "MetricRange", "properties": { "range": {