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Discover key insights on anomaly detection algorithms for IT operations in this 37-minute conference talk from USENIX LISA14. Explore common types of anomalies found in dynamic data center environments and learn the top five lessons gained from developing algorithms to detect them. Examine the effectiveness of various Gaussian-based techniques and delve into non-parametric methods that can be advantageously applied. Gain valuable knowledge on analyzing large volumes of metrics, extracting meaningful signals from noise, and reducing false positives in IT operations monitoring.