US 11,947,439 B2
Learning from distributed traces for anomaly detection and root cause analysis
Hui Kang, Briarcliff Manor, NY (US); Yu Deng, Yorktown Heights, NY (US); Xinyu Que, Yorktown Heights, NY (US); Sinem Guven Kaya, New York, NY (US); and Bruce D'Amora, New Milford, CT (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Nov. 30, 2020, as Appl. No. 17/107,093.
Prior Publication US 2022/0172067 A1, Jun. 2, 2022
Int. Cl. G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 11/34 (2006.01)
CPC G06F 11/3466 (2013.01) [G06F 11/0751 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor that executes the following computer-executable components stored in memory:
a preprocessing component that generates a trace frame comprising a vectorized representation of textual trace data produced by microservices of a microservice application; and
a monitor component that identifies a state of the microservice application using the trace frame.