期刊
PROCEEDINGS OF THE VLDB ENDOWMENT
卷 12, 期 12, 页码 1942-1945出版社
ASSOC COMPUTING MACHINERY
DOI: 10.14778/3352063.3352105
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We demonstrate GRANO(1), an end-to-end anomaly detection and root cause analysis (or RCA for short) system for cloud-native distributed data platform by providing a holistic view of the system component topology, alarms and application events. GRANO provides: a Detection Layer to process large amount of time-series monitoring data to detect anomalies at logical and physical system components; an Anomaly Graph Layer with novel graph modeling and algorithms for leveraging system topology data and detection results to identify the root cause relevance at the system component level; and an Application Layer that automatically notifies on-call personnel and presents real-time and on-demand RCA support through an interactive graph interface. The system is deployed and evaluated using eBay's production data to help on-call personnel to shorten the identification of root cause from hours to minutes.
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