LAFORCE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At Ubisoft, logs are used extensively for various system diagnosis tasks. The analysis of logs, however, is usually performed manually, limiting the full potential of the information contained in logs. In this project, we will explore the use of logs and deep learning to support two Ubisoft priority areas, namely the detection of anomalies and automated load and stress testing. We will also examine the practice of logging at Ubisoft and propose recommendations. TO BE CONT’D

Faculty Supervisor:

Abdelwahab Hamou-Lhadj

Student:

Fabio Petrillo

Partner:

Ubisoft

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Program: