Amazon Technologies, Inc.

Sadanand Murthy Sachidananda

Jill Blue Lin

Ketan Vijayvargiya

Mohammed Saad Ather

Mohammed Talal Yassar Azam

Devesh Ratho

Lenon Alexander Minorics

Ahmed Gamal Hamed

Patrick Bloebaum

Syed Furqhan Ulla

David Kernert

Ankur Mehrotra

Ali Caner Turkmen

Laurent Callot

Ankita Verma

Gaurav Rajendra Kataria

Peter Goetz

Alfred Bruno Herbst

Syed Ahsan Ishtiaque

Shashank Srivastava

Dominik Janzing

Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.

Anomaly and causality detection

Execution status of managed time series processing tasks may be tracked. Status of a time series processing task that operations on different portions of a time series may be respectively captured. A request for the status of one of the portions of the time series with respect to the time series processing task may be received. The status may be identified and returned. For failed tasks, a failure reason may be generated by the time series processing system and included in a response with a failure status.

Tracking status of managed time series processing tasks

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Bothell, WA, United States of America

Sadanand Murthy Sachidananda