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Python for LHC computing infrastructure monitoring


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!


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