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. |
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 |
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"
)
)
)
)