18961682. DETECTING SYSTEMWIDE SERVICE ISSUES BY USING ANOMALY LOCALIZATION (Microsoft Technology Licensing, LLC)

DETECTING SYSTEMWIDE SERVICE ISSUES BY USING ANOMALY LOCALIZATION

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Mohit Verma of Seattle WA (US)

Julien Hoachuck of San Francisco CA (US)

Qingwei Lin of Beijing (CN)

Pooja Rani of Woodinville WA (US)

Namrata Jain of Sammamish WA (US)

Rakesh Namineni of Sammamish WA (US)

Jimmy Wong of Bellevue WA (US)

Si Qin of Beijing (CN)

Yu Kang of Beijing (CN)

Jeffrey Ding He of Bellevue WA (US)

Yingnong Dang of Sammamish WA (US)

Jian Zhang of Bellevue WA (US)

Bo Qiao of Beijing (CN)

Kamaljit Bath of Redmond WA (US)

DETECTING SYSTEMWIDE SERVICE ISSUES BY USING ANOMALY LOCALIZATION

This abstract first appeared for US patent application 18961682 titled 'DETECTING SYSTEMWIDE SERVICE ISSUES BY USING ANOMALY LOCALIZATION

Original Abstract Submitted

Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.