Python for LHC computing infrastructure monitoring
a talk by Jarka Schovancová
Have you ever wondered how Python helps to test the world-wide distributed computing infrastructure used to analyze data from the Large Hadron Collider to study composition of matter on a sub-atomic scale? In this contribution we will discuss recent developments of the HammerCloud testing service, in particular new HC extension for data centre commissioning, application of machine learning to anomaly detection in order to decrease downtime of the resources, and migration to Django 1.11 LTS. Take part!
Jarka Schovancová
jschovan jschovanJarka is a Computing Engineer in CERN IT with a Ph.D. in Subnuclear Physics. She is enthusiastic about integration of components of distributed computing systems, passionate about monitoring, commissioning and testing of the LHC computing infrastructure, and strives for efficient operation of available resources while contributing to the operations automation.
