Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

Understand

To ensure the performance of online service systems, their status is closely monitored with various software and system metrics.

• Performance anomalies represent the performance degradation issues (e.g., slow response) of the service systems.
• When performing anomaly detection over the metrics, existing methods often lack the merit of interpretability, which is vital for engineers and analysts to take remediation actions.
• Moreover, they are unable to effectively accommodate the ever-changing services in an online fashion.