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Anomaly detection types

Kloudfuse provides four Anomaly detection algorithms that overlay a probabilistic band on the metric, and display the expected behavior of a series based on past values.

basic

Implements the Rolling Quantile algorithm.

Sampling interval: 1m, 2m, 3m, 5m, 10m, 15m, 30m, 1h, and 2h.

Numeric parameter: has the possible values of 1, 2, or 3.

agile

Implements the SARIMA algorithm.

Numeric parameter: has the possible values of 1, 2, or 3.

robust

Implements the Seasonal decompose algorithm.

Sampling interval: 1m, 2m, 3m, 5m, 10m, 15m, 30m, 1h, and 2h.

Numeric parameter: has the possible values of 1, 2, or 3.

agile-robust

Implements the Prophet algorithm.

Sampling interval: hourly, daily, or weekly. Numeric parameter: has the possible values of 1, 2, or 3.