DevOpsGuru / Paginator / ListAnomalousLogGroups


class DevOpsGuru.Paginator.ListAnomalousLogGroups#
paginator = client.get_paginator('list_anomalous_log_groups')

Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_anomalous_log_groups().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
  • InsightId (string) –


    The ID of the insight containing the log groups.

  • PaginationConfig (dict) –

    A dictionary that provides parameters to control pagination.

    • MaxItems (integer) –

      The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

    • PageSize (integer) –

      The size of each page.

    • StartingToken (string) –

      A token to specify where to start paginating. This is the NextToken from a previous response.

Return type:



Response Syntax

    'InsightId': 'string',
    'AnomalousLogGroups': [
            'LogGroupName': 'string',
            'ImpactStartTime': datetime(2015, 1, 1),
            'ImpactEndTime': datetime(2015, 1, 1),
            'NumberOfLogLinesScanned': 123,
            'LogAnomalyShowcases': [
                    'LogAnomalyClasses': [
                            'LogStreamName': 'string',
                            'LogAnomalyToken': 'string',
                            'LogEventId': 'string',
                            'Explanation': 'string',
                            'NumberOfLogLinesOccurrences': 123,
                            'LogEventTimestamp': datetime(2015, 1, 1)


Response Structure

  • (dict) –

    • InsightId (string) –

      The ID of the insight containing the log groups.

    • AnomalousLogGroups (list) –

      The list of Amazon CloudWatch log groups that are related to an insight.

      • (dict) –

        An Amazon CloudWatch log group that contains log anomalies and is used to generate an insight.

        • LogGroupName (string) –

          The name of the CloudWatch log group.

        • ImpactStartTime (datetime) –

          The time the anomalous log events began. The impact start time indicates the time of the first log anomaly event that occurs.

        • ImpactEndTime (datetime) –

          The time the anomalous log events stopped.

        • NumberOfLogLinesScanned (integer) –

          The number of log lines that were scanned for anomalous log events.

        • LogAnomalyShowcases (list) –

          The log anomalies in the log group. Each log anomaly displayed represents a cluster of similar anomalous log events.

          • (dict) –

            A cluster of similar anomalous log events found within a log group.

            • LogAnomalyClasses (list) –

              A list of anomalous log events that may be related.

              • (dict) –

                Information about an anomalous log event found within a log group.

                • LogStreamName (string) –

                  The name of the Amazon CloudWatch log stream that the anomalous log event belongs to. A log stream is a sequence of log events that share the same source.

                • LogAnomalyType (string) –

                  The type of log anomaly that has been detected.

                • LogAnomalyToken (string) –

                  The token where the anomaly was detected. This may refer to an exception or another location, or it may be blank for log anomalies such as format anomalies.

                • LogEventId (string) –

                  The ID of the log event.

                • Explanation (string) –

                  The explanation for why the log event is considered an anomaly.

                • NumberOfLogLinesOccurrences (integer) –

                  The number of log lines where this anomalous log event occurs.

                • LogEventTimestamp (datetime) –

                  The time of the first occurrence of the anomalous log event.