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mark anomalous metrics as such #7

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4 changes: 4 additions & 0 deletions analyze/threesigma.go
Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,7 @@ func (t *ThreeSigma) Run() {
MetricName: fmt.Sprintf("anode.threesig.%s.anomalous", d.MetricName),
Timestamp: d.Timestamp,
Value: ma,
IsAnamoly: true,
}
}

Expand All @@ -54,18 +55,21 @@ func (t *ThreeSigma) Run() {
MetricName: fmt.Sprintf("anode.threesig.%s.mean", d.MetricName),
Timestamp: d.Timestamp,
Value: mean,
IsAnamoly: false,
}

// Output mean +/- 3 standard deviations.
t.output <- data.Datapoint{
MetricName: fmt.Sprintf("anode.threesig.%s.upper", d.MetricName),
Timestamp: d.Timestamp,
Value: t.stats.Mean() + 3*stddev,
IsAnamoly: false,
}
t.output <- data.Datapoint{
MetricName: fmt.Sprintf("anode.threesig.%s.lower", d.MetricName),
Timestamp: d.Timestamp,
Value: t.stats.Mean() - 3*stddev,
IsAnamoly: false,
}
}
}
Expand Down
1 change: 1 addition & 0 deletions data/data.go
Original file line number Diff line number Diff line change
Expand Up @@ -4,4 +4,5 @@ type Datapoint struct {
MetricName string
Timestamp int64
Value float64
IsAnomaly bool
}