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.
StartTimeRange
A time range used to specify when the requested anomalies started. All returned anomalies started during this time range.
MaxResults
The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned nextToken value.
NextToken
The pagination token to use to retrieve the next page of results for this operation. If this value is null, it retrieves the first page.
AccountId
The ID of the Amazon Web Services account.
Filters
Specifies 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"
)
)
)
)