Invention Grant
- Patent Title: Learning from distributed traces for anomaly detection and root cause analysis
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Application No.: US17107093Application Date: 2020-11-30
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Publication No.: US11947439B2Publication Date: 2024-04-02
- Inventor: Hui Kang , Yu Deng , Xinyu Que , Sinem Guven Kaya , Bruce D'Amora
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07 ; G06F11/34

Abstract:
Techniques facilitating anomaly detection and root cause analysis using distributed trace data. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise: a preprocessing component; and a monitor component. The preprocessing component can generate a trace frame comprising a vectorized representation of textual trace data produced by microservices of a microservice application. The monitor component can identify a state of the microservice application using the trace frame.
Public/Granted literature
- US20220172067A1 LEARNING FROM DISTRIBUTED TRACES FOR ANOMALY DETECTION AND ROOT CAUSE ANALYSIS Public/Granted day:2022-06-02
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