International Business Machines Corporation

Hui Kang

Yu Deng

Shu Tao

Bruce David D'Amora

Michael Vu Le

Sinem Guven Kaya

Xinyu Que

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.

Learning from distributed traces for anomaly detection and root cause analysis

A method for checkpointing includes capturing a runtime state image of an application running in a container, wherein the runtime state image includes memory state data and file system state data of the container, adding the runtime state image to a collection of runtime state images associated with the container, and restoring the container to a specified state by retrieving at least a portion of the memory state data and file system state data of the runtime state image from the collection of runtime state images.

Mechanism for managing container runtime state

Growing community of inventors

Elmsford, NY, United States of America

Hui Kang