LAFORGE: 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. The outcomes of this research project will result in superior diagnosis techniques that leverage the power of logs combined with deep learning techniques, while reducing the associated costs. Another important impact of this research is its potential for commercialization driven by the strong need from Ubisoft to have better logging tools. […]

Faculty Supervisor:

Foutse Khomh

Student:

Le An

Partner:

Ubisoft Divertissement

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program: