List Anomalies for Insight
| devopsguru_list_anomalies_for_insight | R Documentation |
Returns a list of the anomalies that belong to an insight that you specify using its ID¶
Description¶
Returns a list of the anomalies that belong to an insight that you specify using its ID.
Usage¶
devopsguru_list_anomalies_for_insight(InsightId, StartTimeRange,
MaxResults, NextToken, AccountId, Filters)
Arguments¶
InsightId[required] The ID of the insight. The returned anomalies belong to this insight.
StartTimeRangeA time range used to specify when the requested anomalies started. All returned anomalies started during this time range.
MaxResultsThe maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned
nextTokenvalue.NextTokenThe pagination token to use to retrieve the next page of results for this operation. If this value is null, it retrieves the first page.
AccountIdThe ID of the Amazon Web Services account.
FiltersSpecifies one or more service names that are used to list anomalies.
Value¶
A list with the following syntax:
list(
ProactiveAnomalies = list(
list(
Id = "string",
Severity = "LOW"|"MEDIUM"|"HIGH",
Status = "ONGOING"|"CLOSED",
UpdateTime = as.POSIXct(
"2015-01-01"
),
AnomalyTimeRange = list(
StartTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
)
),
AnomalyReportedTimeRange = list(
OpenTime = as.POSIXct(
"2015-01-01"
),
CloseTime = as.POSIXct(
"2015-01-01"
)
),
PredictionTimeRange = list(
StartTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
)
),
SourceDetails = list(
CloudWatchMetrics = list(
list(
MetricName = "string",
Namespace = "string",
Dimensions = list(
list(
Name = "string",
Value = "string"
)
),
Stat = "Sum"|"Average"|"SampleCount"|"Minimum"|"Maximum"|"p99"|"p90"|"p50",
Unit = "string",
Period = 123,
MetricDataSummary = list(
TimestampMetricValuePairList = list(
list(
Timestamp = as.POSIXct(
"2015-01-01"
),
MetricValue = 123.0
)
),
StatusCode = "Complete"|"InternalError"|"PartialData"
)
)
),
PerformanceInsightsMetrics = list(
list(
MetricDisplayName = "string",
Unit = "string",
MetricQuery = list(
Metric = "string",
GroupBy = list(
Group = "string",
Dimensions = list(
"string"
),
Limit = 123
),
Filter = list(
"string"
)
),
ReferenceData = list(
list(
Name = "string",
ComparisonValues = list(
ReferenceScalar = list(
Value = 123.0
),
ReferenceMetric = list(
MetricQuery = list(
Metric = "string",
GroupBy = list(
Group = "string",
Dimensions = list(
"string"
),
Limit = 123
),
Filter = list(
"string"
)
)
)
)
)
),
StatsAtAnomaly = list(
list(
Type = "string",
Value = 123.0
)
),
StatsAtBaseline = list(
list(
Type = "string",
Value = 123.0
)
)
)
)
),
AssociatedInsightId = "string",
ResourceCollection = list(
CloudFormation = list(
StackNames = list(
"string"
)
),
Tags = list(
list(
AppBoundaryKey = "string",
TagValues = list(
"string"
)
)
)
),
Limit = 123.0,
SourceMetadata = list(
Source = "string",
SourceResourceName = "string",
SourceResourceType = "string"
),
AnomalyResources = list(
list(
Name = "string",
Type = "string"
)
),
Description = "string"
)
),
ReactiveAnomalies = list(
list(
Id = "string",
Severity = "LOW"|"MEDIUM"|"HIGH",
Status = "ONGOING"|"CLOSED",
AnomalyTimeRange = list(
StartTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
)
),
AnomalyReportedTimeRange = list(
OpenTime = as.POSIXct(
"2015-01-01"
),
CloseTime = as.POSIXct(
"2015-01-01"
)
),
SourceDetails = list(
CloudWatchMetrics = list(
list(
MetricName = "string",
Namespace = "string",
Dimensions = list(
list(
Name = "string",
Value = "string"
)
),
Stat = "Sum"|"Average"|"SampleCount"|"Minimum"|"Maximum"|"p99"|"p90"|"p50",
Unit = "string",
Period = 123,
MetricDataSummary = list(
TimestampMetricValuePairList = list(
list(
Timestamp = as.POSIXct(
"2015-01-01"
),
MetricValue = 123.0
)
),
StatusCode = "Complete"|"InternalError"|"PartialData"
)
)
),
PerformanceInsightsMetrics = list(
list(
MetricDisplayName = "string",
Unit = "string",
MetricQuery = list(
Metric = "string",
GroupBy = list(
Group = "string",
Dimensions = list(
"string"
),
Limit = 123
),
Filter = list(
"string"
)
),
ReferenceData = list(
list(
Name = "string",
ComparisonValues = list(
ReferenceScalar = list(
Value = 123.0
),
ReferenceMetric = list(
MetricQuery = list(
Metric = "string",
GroupBy = list(
Group = "string",
Dimensions = list(
"string"
),
Limit = 123
),
Filter = list(
"string"
)
)
)
)
)
),
StatsAtAnomaly = list(
list(
Type = "string",
Value = 123.0
)
),
StatsAtBaseline = list(
list(
Type = "string",
Value = 123.0
)
)
)
)
),
AssociatedInsightId = "string",
ResourceCollection = list(
CloudFormation = list(
StackNames = list(
"string"
)
),
Tags = list(
list(
AppBoundaryKey = "string",
TagValues = list(
"string"
)
)
)
),
Type = "CAUSAL"|"CONTEXTUAL",
Name = "string",
Description = "string",
CausalAnomalyId = "string",
AnomalyResources = list(
list(
Name = "string",
Type = "string"
)
)
)
),
NextToken = "string"
)
Request syntax¶
svc$list_anomalies_for_insight(
InsightId = "string",
StartTimeRange = list(
FromTime = as.POSIXct(
"2015-01-01"
),
ToTime = as.POSIXct(
"2015-01-01"
)
),
MaxResults = 123,
NextToken = "string",
AccountId = "string",
Filters = list(
ServiceCollection = list(
ServiceNames = list(
"API_GATEWAY"|"APPLICATION_ELB"|"AUTO_SCALING_GROUP"|"CLOUD_FRONT"|"DYNAMO_DB"|"EC2"|"ECS"|"EKS"|"ELASTIC_BEANSTALK"|"ELASTI_CACHE"|"ELB"|"ES"|"KINESIS"|"LAMBDA"|"NAT_GATEWAY"|"NETWORK_ELB"|"RDS"|"REDSHIFT"|"ROUTE_53"|"S3"|"SAGE_MAKER"|"SNS"|"SQS"|"STEP_FUNCTIONS"|"SWF"
)
)
)
)