Statistical detection of site speed performance anomalies

An apparatus, comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
• obtain a current window of one or more intervals of time-series data collected from a monitored system;
• perform a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system;
• and
• when the statistical hypothesis test indicates a deviation of the time-series data from the baseline values:
• transform the baseline values to generate one or more severity levels associated with an anomaly represented by the deviation;
• repeat the statistical hypothesis test with the transformed baseline values to identify a severity of the anomaly;
• and
• output an alert of the anomaly.

A system, comprising:

• an analysis module comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to:
• obtain a current window of one or more intervals of time-series data collected from a monitored system;
• and
• perform a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system;
• and
• a management module comprising a non-transitory computer-readable medium comprising instructions that, when executed by the one or more processors, cause the system to, when the statistical hypothesis test indicates a deviation of the time-series data from the baseline values:
• transform the baseline values to generate one or more severity levels associated with an anomaly represented by the deviation;
• repeat the statistical hypothesis test with the transformed baseline values to identify a severity of the anomaly;
• and
• output an alert of the anomaly.