Microsoft Technology Licensing, LLC

Ulrich Pinsdorf

Olga Ivanova

Venkat Narayanan

Smita Ojha

Alexandre De Baynast

Yi Wang

Markus Cozowicz

Philipp Kranen

Anomalies detection in error signals of a cloud based service is provided. An application such as an analysis application identifies a machine learning algorithm that matches error signals of components of a cloud based service. A periodic pattern from the error signals is removed with the machine learning algorithm to filter the periodic pattern from an error count in the error signals. The error signals are processed with the machine learning algorithm to detect one or more anomalies with the components. The machine learning algorithm is updated while processing new data to detect new patterns.

Detection of anomalies in error signals of cloud based service

Growing community of inventors

Aachen, Germany

Ulrich Pinsdorf