| Column Name | Column Data Type |
|---|
insight_id Required Input Column
The ID of the insight. The returned anomalies belong to this insight. | VARCHAR |
account_id Input Column
The ID of the Amazon Web Services account. | VARCHAR |
filters Input Column
Specifies one or more service names that are used to list anomalies. | STRUCT(
"service_collection" STRUCT(
"service_names" VARCHAR[]
)
) |
Show child fields- filters.service_collection
A collection of the names of Amazon Web Services services. Show child fields- filters.service_collection.service_names[]
|
start_time_range Input Column
A time range used to specify when the requested anomalies started. All returned anomalies started during this time range. | STRUCT(
"from_time" TIMESTAMP_S,
"to_time" TIMESTAMP_S
) |
Show child fields- start_time_range.from_time
The start time of the time range. - start_time_range.to_time
The end time of the time range.
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
proactive_anomalies
An array of ProactiveAnomalySummary objects that represent the requested anomalies | STRUCT(
"id" VARCHAR,
"severity" VARCHAR,
"status" VARCHAR,
"update_time" TIMESTAMP_S,
"anomaly_time_range" STRUCT(
"start_time" TIMESTAMP_S,
"end_time" TIMESTAMP_S
),
"anomaly_reported_time_range" STRUCT(
"open_time" TIMESTAMP_S,
"close_time" TIMESTAMP_S
),
"prediction_time_range" STRUCT(
"start_time" TIMESTAMP_S,
"end_time" TIMESTAMP_S
),
"source_details" STRUCT(
"cloud_watch_metrics" STRUCT(
"metric_name" VARCHAR,
"namespace" VARCHAR,
"dimensions" STRUCT(
"name" VARCHAR,
"value" VARCHAR
)[],
"stat" VARCHAR,
"unit" VARCHAR,
"period" BIGINT,
"metric_data_summary" STRUCT(
"timestamp_metric_value_pair_list" STRUCT(
"timestamp" TIMESTAMP_S,
"metric_value" DOUBLE
)[],
"status_code" VARCHAR
)
)[],
"performance_insights_metrics" STRUCT(
"metric_display_name" VARCHAR,
"unit" VARCHAR,
"metric_query" STRUCT(
"metric" VARCHAR,
"group_by" STRUCT(
"group" VARCHAR,
"dimensions" VARCHAR[],
"limit" BIGINT
),
"filter" MAP(VARCHAR, VARCHAR)
),
"reference_data" STRUCT(
"name" VARCHAR,
"comparison_values" STRUCT(
"reference_scalar" STRUCT(
"value" DOUBLE
),
"reference_metric" STRUCT(
"metric_query" STRUCT(
"metric" VARCHAR,
"group_by" STRUCT(
"group" VARCHAR,
"dimensions" VARCHAR[],
"limit" BIGINT
),
"filter" MAP(VARCHAR, VARCHAR)
)
)
)
)[],
"stats_at_anomaly" STRUCT(
"type" VARCHAR,
"value" DOUBLE
)[],
"stats_at_baseline" STRUCT(
"type" VARCHAR,
"value" DOUBLE
)[]
)[]
),
"associated_insight_id" VARCHAR,
"resource_collection" STRUCT(
"cloud_formation" STRUCT(
"stack_names" VARCHAR[]
),
"tags" STRUCT(
"app_boundary_key" VARCHAR,
"tag_values" VARCHAR[]
)[]
),
"limit" DOUBLE,
"source_metadata" STRUCT(
"source" VARCHAR,
"source_resource_name" VARCHAR,
"source_resource_type" VARCHAR
),
"anomaly_resources" STRUCT(
"name" VARCHAR,
"type" VARCHAR
)[],
"description" VARCHAR
)[] |
Show child fields- proactive_anomalies[]
Show child fields- proactive_anomalies[].anomaly_reported_time_range
An AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed. Show child fields- proactive_anomalies[].anomaly_reported_time_range.close_time
The time when an anomaly is closed. - proactive_anomalies[].anomaly_reported_time_range.open_time
The time when an anomaly is opened.
- proactive_anomalies[].anomaly_resources[]
Show child fields- proactive_anomalies[].anomaly_resources[].name
The name of the Amazon Web Services resource. - proactive_anomalies[].anomaly_resources[].type
The type of the Amazon Web Services resource.
- proactive_anomalies[].anomaly_time_range
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange, which specifies the time range when DevOps Guru opens and then closes an anomaly. Show child fields- proactive_anomalies[].anomaly_time_range.end_time
The time when the anomalous behavior ended. - proactive_anomalies[].anomaly_time_range.start_time
The time when the anomalous behavior started.
- proactive_anomalies[].associated_insight_id
The ID of the insight that contains this anomaly. An insight is composed of related anomalies. - proactive_anomalies[].description
A description of the proactive anomaly. - proactive_anomalies[].id
The ID of the anomaly. - proactive_anomalies[].limit
A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly. - proactive_anomalies[].prediction_time_range
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur. Show child fields- proactive_anomalies[].prediction_time_range.end_time
The time when the behavior in a proactive insight is expected to end. - proactive_anomalies[].prediction_time_range.start_time
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
- proactive_anomalies[].resource_collection
A collection of Amazon Web Services resources supported by DevOps Guru. The two types of Amazon Web Services resource collections supported are Amazon Web Services CloudFormation stacks and Amazon Web Services resources that contain the same Amazon Web Services tag. DevOps Guru can be configured to analyze the Amazon Web Services resources that are defined in the stacks or that are tagged using the same tag key. You can specify up to 500 Amazon Web Services CloudFormation stacks. Show child fields- proactive_anomalies[].resource_collection.cloud_formation
An array of the names of Amazon Web Services CloudFormation stacks. The stacks define Amazon Web Services resources that DevOps Guru analyzes. You can specify up to 500 Amazon Web Services CloudFormation stacks. Show child fields- proactive_anomalies[].resource_collection.cloud_formation.stack_names[]
- proactive_anomalies[].resource_collection.tags[]
Show child fields- proactive_anomalies[].resource_collection.tags[].app_boundary_key
An Amazon Web Services tag key that is used to identify the Amazon Web Services resources that DevOps Guru analyzes. All Amazon Web Services resources in your account and Region tagged with this key make up your DevOps Guru application and analysis boundary. The string used for a key in a tag that you use to define your resource coverage must begin with the prefix Devops-guru-. The tag key might be DevOps-Guru-deployment-application or devops-guru-rds-application. When you create a key, the case of characters in the key can be whatever you choose. After you create a key, it is case-sensitive. For example, DevOps Guru works with a key named devops-guru-rds and a key named DevOps-Guru-RDS, and these act as two different keys. Possible key/value pairs in your application might be Devops-Guru-production-application/RDS or Devops-Guru-production-application/containers. - proactive_anomalies[].resource_collection.tags[].tag_values[]
- proactive_anomalies[].severity
The severity of the anomaly. The severity of anomalies that generate an insight determine that insight's severity. For more information, see Understanding insight severities in the Amazon DevOps Guru User Guide. - proactive_anomalies[].source_details
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics. Show child fields- proactive_anomalies[].source_details.cloud_watch_metrics[]
Show child fields- proactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[]
Show child fields- proactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[].name
The name of the CloudWatch dimension. - proactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[].value
The value of the CloudWatch dimension.
- proactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary
This object returns anomaly metric data. Show child fields- proactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.status_code
This is an enum of the status showing whether the metric value pair list has partial or complete data, or if there was an error. - proactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[]
Show child fields- proactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[].metric_value
Value of the anomalous metric data point at respective Timestamp. - proactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[].timestamp
A Timestamp that specifies the time the event occurred.
- proactive_anomalies[].source_details.cloud_watch_metrics[].metric_name
The name of the CloudWatch metric. - proactive_anomalies[].source_details.cloud_watch_metrics[].namespace
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics. - proactive_anomalies[].source_details.cloud_watch_metrics[].period
The length of time associated with the CloudWatch metric in number of seconds. - proactive_anomalies[].source_details.cloud_watch_metrics[].stat
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide. - proactive_anomalies[].source_details.cloud_watch_metrics[].unit
The unit of measure used for the CloudWatch metric. For example, Bytes, Seconds, Count, and Percent.
- proactive_anomalies[].source_details.performance_insights_metrics[]
Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].metric_display_name
The name used for a specific Performance Insights metric. - proactive_anomalies[].source_details.performance_insights_metrics[].metric_query
A single query to be processed for the metric. For more information, see PerformanceInsightsMetricQuery . Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.filter
One or more filters to apply to a Performance Insights GetResourceMetrics API query. Restrictions: -
Any number of filters by the same dimension, as specified in the GroupBy parameter. -
A single filter for any other dimension in this dimension group. - proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by
The specification for how to aggregate the data points from a Performance Insights GetResourceMetrics API query. The Performance Insights query returns all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension. Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.dimensions[]
- proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.group
The name of the dimension group. Its valid values are: -
db - The name of the database to which the client is connected (only Aurora PostgreSQL, Amazon RDS PostgreSQL, Aurora MySQL, Amazon RDS MySQL, and MariaDB) -
db.application - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL) -
db.host - The host name of the connected client (all engines) -
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL) -
db.sql - The SQL that is currently executing (all engines) -
db.sql_tokenized - The SQL digest (all engines) -
db.wait_event - The event for which the database backend is waiting (all engines) -
db.wait_event_type - The type of event for which the database backend is waiting (all engines) -
db.user - The user logged in to the database (all engines) - proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.limit
The maximum number of items to fetch for this dimension group.
- proactive_anomalies[].source_details.performance_insights_metrics[].metric_query.metric
The name of the meteric used used when querying an Performance Insights GetResourceMetrics API for anomaly metrics. Valid values for Metric are: If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[]
Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values
The specific reference values used to evaluate the Performance Insights. For more information, see PerformanceInsightsReferenceComparisonValues . Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric
A metric that DevOps Guru compares to actual metric values. This reference metric is used to determine if an actual metric should be considered anomalous. Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query
A query to be processed on the metric. Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.filter
One or more filters to apply to a Performance Insights GetResourceMetrics API query. Restrictions: -
Any number of filters by the same dimension, as specified in the GroupBy parameter. -
A single filter for any other dimension in this dimension group. - proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by
The specification for how to aggregate the data points from a Performance Insights GetResourceMetrics API query. The Performance Insights query returns all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension. Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.dimensions[]
- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.group
The name of the dimension group. Its valid values are: -
db - The name of the database to which the client is connected (only Aurora PostgreSQL, Amazon RDS PostgreSQL, Aurora MySQL, Amazon RDS MySQL, and MariaDB) -
db.application - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL) -
db.host - The host name of the connected client (all engines) -
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL) -
db.sql - The SQL that is currently executing (all engines) -
db.sql_tokenized - The SQL digest (all engines) -
db.wait_event - The event for which the database backend is waiting (all engines) -
db.wait_event_type - The type of event for which the database backend is waiting (all engines) -
db.user - The user logged in to the database (all engines) - proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.limit
The maximum number of items to fetch for this dimension group.
- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.metric
The name of the meteric used used when querying an Performance Insights GetResourceMetrics API for anomaly metrics. Valid values for Metric are: If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_scalar
A scalar value DevOps Guru for a metric that DevOps Guru compares to actual metric values. This reference value is used to determine if an actual metric value should be considered anomalous. Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_scalar.value
The reference value.
- proactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].name
The name of the reference data.
- proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[]
Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[].type
The statistic type. - proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[].value
The value of the statistic.
- proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[]
Show child fields- proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[].type
The statistic type. - proactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[].value
The value of the statistic.
- proactive_anomalies[].source_details.performance_insights_metrics[].unit
The unit of measure for a metric. For example, a session or a process.
- proactive_anomalies[].source_metadata
The metadata of the source which detects proactive anomalies. Show child fields- proactive_anomalies[].source_metadata.source
The source of the anomaly. - proactive_anomalies[].source_metadata.source_resource_name
The name of the anomaly's resource. - proactive_anomalies[].source_metadata.source_resource_type
The anomaly's resource type.
- proactive_anomalies[].status
The status of the anomaly. - proactive_anomalies[].update_time
The time of the anomaly's most recent update.
|
reactive_anomalies
An array of ReactiveAnomalySummary objects that represent the requested anomalies | STRUCT(
"id" VARCHAR,
"severity" VARCHAR,
"status" VARCHAR,
"anomaly_time_range" STRUCT(
"start_time" TIMESTAMP_S,
"end_time" TIMESTAMP_S
),
"anomaly_reported_time_range" STRUCT(
"open_time" TIMESTAMP_S,
"close_time" TIMESTAMP_S
),
"source_details" STRUCT(
"cloud_watch_metrics" STRUCT(
"metric_name" VARCHAR,
"namespace" VARCHAR,
"dimensions" STRUCT(
"name" VARCHAR,
"value" VARCHAR
)[],
"stat" VARCHAR,
"unit" VARCHAR,
"period" BIGINT,
"metric_data_summary" STRUCT(
"timestamp_metric_value_pair_list" STRUCT(
"timestamp" TIMESTAMP_S,
"metric_value" DOUBLE
)[],
"status_code" VARCHAR
)
)[],
"performance_insights_metrics" STRUCT(
"metric_display_name" VARCHAR,
"unit" VARCHAR,
"metric_query" STRUCT(
"metric" VARCHAR,
"group_by" STRUCT(
"group" VARCHAR,
"dimensions" VARCHAR[],
"limit" BIGINT
),
"filter" MAP(VARCHAR, VARCHAR)
),
"reference_data" STRUCT(
"name" VARCHAR,
"comparison_values" STRUCT(
"reference_scalar" STRUCT(
"value" DOUBLE
),
"reference_metric" STRUCT(
"metric_query" STRUCT(
"metric" VARCHAR,
"group_by" STRUCT(
"group" VARCHAR,
"dimensions" VARCHAR[],
"limit" BIGINT
),
"filter" MAP(VARCHAR, VARCHAR)
)
)
)
)[],
"stats_at_anomaly" STRUCT(
"type" VARCHAR,
"value" DOUBLE
)[],
"stats_at_baseline" STRUCT(
"type" VARCHAR,
"value" DOUBLE
)[]
)[]
),
"associated_insight_id" VARCHAR,
"resource_collection" STRUCT(
"cloud_formation" STRUCT(
"stack_names" VARCHAR[]
),
"tags" STRUCT(
"app_boundary_key" VARCHAR,
"tag_values" VARCHAR[]
)[]
),
"type" VARCHAR,
"name" VARCHAR,
"description" VARCHAR,
"causal_anomaly_id" VARCHAR,
"anomaly_resources" STRUCT(
"name" VARCHAR,
"type" VARCHAR
)[]
)[] |
Show child fields- reactive_anomalies[]
Show child fields- reactive_anomalies[].anomaly_reported_time_range
An AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed. Show child fields- reactive_anomalies[].anomaly_reported_time_range.close_time
The time when an anomaly is closed. - reactive_anomalies[].anomaly_reported_time_range.open_time
The time when an anomaly is opened.
- reactive_anomalies[].anomaly_resources[]
Show child fields- reactive_anomalies[].anomaly_resources[].name
The name of the Amazon Web Services resource. - reactive_anomalies[].anomaly_resources[].type
The type of the Amazon Web Services resource.
- reactive_anomalies[].anomaly_time_range
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange, which specifies the time range when DevOps Guru opens and then closes an anomaly. Show child fields- reactive_anomalies[].anomaly_time_range.end_time
The time when the anomalous behavior ended. - reactive_anomalies[].anomaly_time_range.start_time
The time when the anomalous behavior started.
- reactive_anomalies[].associated_insight_id
The ID of the insight that contains this anomaly. An insight is composed of related anomalies. - reactive_anomalies[].causal_anomaly_id
The ID of the causal anomaly that is associated with this reactive anomaly. The ID of a `CAUSAL` anomaly is always `NULL`. - reactive_anomalies[].description
A description of the reactive anomaly. - reactive_anomalies[].id
The ID of the reactive anomaly. - reactive_anomalies[].name
The name of the reactive anomaly. - reactive_anomalies[].resource_collection
A collection of Amazon Web Services resources supported by DevOps Guru. The two types of Amazon Web Services resource collections supported are Amazon Web Services CloudFormation stacks and Amazon Web Services resources that contain the same Amazon Web Services tag. DevOps Guru can be configured to analyze the Amazon Web Services resources that are defined in the stacks or that are tagged using the same tag key. You can specify up to 500 Amazon Web Services CloudFormation stacks. Show child fields- reactive_anomalies[].resource_collection.cloud_formation
An array of the names of Amazon Web Services CloudFormation stacks. The stacks define Amazon Web Services resources that DevOps Guru analyzes. You can specify up to 500 Amazon Web Services CloudFormation stacks. Show child fields- reactive_anomalies[].resource_collection.cloud_formation.stack_names[]
- reactive_anomalies[].resource_collection.tags[]
Show child fields- reactive_anomalies[].resource_collection.tags[].app_boundary_key
An Amazon Web Services tag key that is used to identify the Amazon Web Services resources that DevOps Guru analyzes. All Amazon Web Services resources in your account and Region tagged with this key make up your DevOps Guru application and analysis boundary. The string used for a key in a tag that you use to define your resource coverage must begin with the prefix Devops-guru-. The tag key might be DevOps-Guru-deployment-application or devops-guru-rds-application. When you create a key, the case of characters in the key can be whatever you choose. After you create a key, it is case-sensitive. For example, DevOps Guru works with a key named devops-guru-rds and a key named DevOps-Guru-RDS, and these act as two different keys. Possible key/value pairs in your application might be Devops-Guru-production-application/RDS or Devops-Guru-production-application/containers. - reactive_anomalies[].resource_collection.tags[].tag_values[]
- reactive_anomalies[].severity
The severity of the anomaly. The severity of anomalies that generate an insight determine that insight's severity. For more information, see Understanding insight severities in the Amazon DevOps Guru User Guide. - reactive_anomalies[].source_details
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics. Show child fields- reactive_anomalies[].source_details.cloud_watch_metrics[]
Show child fields- reactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[]
Show child fields- reactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[].name
The name of the CloudWatch dimension. - reactive_anomalies[].source_details.cloud_watch_metrics[].dimensions[].value
The value of the CloudWatch dimension.
- reactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary
This object returns anomaly metric data. Show child fields- reactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.status_code
This is an enum of the status showing whether the metric value pair list has partial or complete data, or if there was an error. - reactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[]
Show child fields- reactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[].metric_value
Value of the anomalous metric data point at respective Timestamp. - reactive_anomalies[].source_details.cloud_watch_metrics[].metric_data_summary.timestamp_metric_value_pair_list[].timestamp
A Timestamp that specifies the time the event occurred.
- reactive_anomalies[].source_details.cloud_watch_metrics[].metric_name
The name of the CloudWatch metric. - reactive_anomalies[].source_details.cloud_watch_metrics[].namespace
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics. - reactive_anomalies[].source_details.cloud_watch_metrics[].period
The length of time associated with the CloudWatch metric in number of seconds. - reactive_anomalies[].source_details.cloud_watch_metrics[].stat
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide. - reactive_anomalies[].source_details.cloud_watch_metrics[].unit
The unit of measure used for the CloudWatch metric. For example, Bytes, Seconds, Count, and Percent.
- reactive_anomalies[].source_details.performance_insights_metrics[]
Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].metric_display_name
The name used for a specific Performance Insights metric. - reactive_anomalies[].source_details.performance_insights_metrics[].metric_query
A single query to be processed for the metric. For more information, see PerformanceInsightsMetricQuery . Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.filter
One or more filters to apply to a Performance Insights GetResourceMetrics API query. Restrictions: -
Any number of filters by the same dimension, as specified in the GroupBy parameter. -
A single filter for any other dimension in this dimension group. - reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by
The specification for how to aggregate the data points from a Performance Insights GetResourceMetrics API query. The Performance Insights query returns all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension. Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.dimensions[]
- reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.group
The name of the dimension group. Its valid values are: -
db - The name of the database to which the client is connected (only Aurora PostgreSQL, Amazon RDS PostgreSQL, Aurora MySQL, Amazon RDS MySQL, and MariaDB) -
db.application - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL) -
db.host - The host name of the connected client (all engines) -
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL) -
db.sql - The SQL that is currently executing (all engines) -
db.sql_tokenized - The SQL digest (all engines) -
db.wait_event - The event for which the database backend is waiting (all engines) -
db.wait_event_type - The type of event for which the database backend is waiting (all engines) -
db.user - The user logged in to the database (all engines) - reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.group_by.limit
The maximum number of items to fetch for this dimension group.
- reactive_anomalies[].source_details.performance_insights_metrics[].metric_query.metric
The name of the meteric used used when querying an Performance Insights GetResourceMetrics API for anomaly metrics. Valid values for Metric are: If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[]
Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values
The specific reference values used to evaluate the Performance Insights. For more information, see PerformanceInsightsReferenceComparisonValues . Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric
A metric that DevOps Guru compares to actual metric values. This reference metric is used to determine if an actual metric should be considered anomalous. Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query
A query to be processed on the metric. Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.filter
One or more filters to apply to a Performance Insights GetResourceMetrics API query. Restrictions: -
Any number of filters by the same dimension, as specified in the GroupBy parameter. -
A single filter for any other dimension in this dimension group. - reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by
The specification for how to aggregate the data points from a Performance Insights GetResourceMetrics API query. The Performance Insights query returns all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension. Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.dimensions[]
- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.group
The name of the dimension group. Its valid values are: -
db - The name of the database to which the client is connected (only Aurora PostgreSQL, Amazon RDS PostgreSQL, Aurora MySQL, Amazon RDS MySQL, and MariaDB) -
db.application - The name of the application that is connected to the database (only Aurora PostgreSQL and RDS PostgreSQL) -
db.host - The host name of the connected client (all engines) -
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL) -
db.sql - The SQL that is currently executing (all engines) -
db.sql_tokenized - The SQL digest (all engines) -
db.wait_event - The event for which the database backend is waiting (all engines) -
db.wait_event_type - The type of event for which the database backend is waiting (all engines) -
db.user - The user logged in to the database (all engines) - reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.group_by.limit
The maximum number of items to fetch for this dimension group.
- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_metric.metric_query.metric
The name of the meteric used used when querying an Performance Insights GetResourceMetrics API for anomaly metrics. Valid values for Metric are: If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_scalar
A scalar value DevOps Guru for a metric that DevOps Guru compares to actual metric values. This reference value is used to determine if an actual metric value should be considered anomalous. Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].comparison_values.reference_scalar.value
The reference value.
- reactive_anomalies[].source_details.performance_insights_metrics[].reference_data[].name
The name of the reference data.
- reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[]
Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[].type
The statistic type. - reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_anomaly[].value
The value of the statistic.
- reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[]
Show child fields- reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[].type
The statistic type. - reactive_anomalies[].source_details.performance_insights_metrics[].stats_at_baseline[].value
The value of the statistic.
- reactive_anomalies[].source_details.performance_insights_metrics[].unit
The unit of measure for a metric. For example, a session or a process.
- reactive_anomalies[].status
The status of the reactive anomaly. - reactive_anomalies[].type
The type of the reactive anomaly. It can be one of the following types.
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