Boston
May 8-11, 2017

Event Details

Please note: All times listed below are in Central Time Zone


Beyond Automation: Taking Vitrage into the Realm of Machine Learning

Beyond automated expert analysis - Vitrage takes the first steps into the realm of machine learning.
Vitrage is the official OpenStack project dedicated to root cause analysis (RCA) and deduced insights into the behavior of the Cloud. With the help of a graphical model representing the different relationships between system entities, and a friendly UI, Vitrage hopes to achieve its mission of organizing, analyzing and visualizing a holistic view of the system.


In this talk, we will present and discuss the first steps of augmenting Vitrage with machine learning capabilities. Until recently, Vitrage used mostly humanly-written templates to drive automatic RCA, deduced alarms & states. The next step is to start detecting those rules in the data itself, discovering connections over time from the observed history. Here we will discuss the challenge, where Vitrage is today, and what to expect in the near future in this exciting journey.


What can I expect to learn?

Attendees should expect to learn about some of the new and exciting steps that Vitrage is taking into the realm of Machine Learning, with the focus on discovering how faults impact system behavior and propagate throughout the cloud, generating new insights for Vitrage to use and reflect to users.

Tuesday, May 9, 11:15am-11:50am (3:15pm - 3:50pm UTC)
Difficulty Level: Intermediate
Nokia Cloudband
Ohad is a product manager in CloudBand, Nokia. In his role, Ohad is leading Analytics and monitoring for the CloudBand NFVI product and he is also responsible for open source activity in CloudBand. Ohad is driving Vitrage, an official OpenStack project, initiated by CloudBand, for root cause analysis, deduced alarms and states. FULL PROFILE
R&D Manager
Cloud platform developer focused on CI, installation and deployment.  Manager of the Vitrage insight team at Nokia Head of R&D - Nokia container platform FULL PROFILE