Amazon Technologies, Inc.

Syed Furqhan Ulla

Devesh Ratho

Rajendra Kumar Vippagunta

David Kernert

Patrick Bloebaum

Lenon Alexander Minorics

Yekesa Srinivasa Kosuru

Namita Das

Sunayana Vempati

Shashwat Srijan

Jill Blue Lin

Ketan Vijayvargiya

Ahmed Gamal Hamed

Mohammed Saad Ather

Sadanand Murthy Sachidananda

Ankita Verma

Gaurav Rajendra Kataria

Alfred Bruno Herbst

A system generates a recommendation that includes at least one action to address at least one root cause anomaly that causes other anomalies occurred within a distributed system. The at least one root cause anomaly is determined by at least using a graph that represents the distributed system and metrics that are associated with the distributed system.

Addressing root cause anomaly

A system obtains a graph representing a set of resources of a distributed system. At least one node of the graph represents a resource-metric pair. The system further obtains time series data that indicates anomalies from the system. Then, the system determines a root cause anomaly that caused other anomalies based at least in part on the graph and the time series data.

Systems and methods to analyze root cause anomaly

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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Seattle, WA, United States of America

Syed Furqhan Ulla