Highlights
Anomaly detector
Anomaly is a new analytic unit type, which can detect anomalies like this:
Algorithm smoothes data and makes a confidence interval using:
Alphais a magnitude of smoothness. Bigger alpha value means less previous values to take for exponential smoothing algorithm.
Confidencedefines the range where metric value considered as "normal". Each value that falls outside this interval is an anomaly.
Seasonality
Let's say we have a metric:
We can see 1-day seasonality here.
If we apply anomaly detector, we'll get "false" detections every 24 hours.
We can set Seasonality period and label a segment that is not an anomaly:
Values from the labeled segment will be added to the confidence interval every "seasonality" times.
Learn more about anomaly detector on Wiki page.
Inspect mode and HSR
HSR -- is a new concept which stands for Hastic Signal Representation.
HSR purpose is to inspect how hastic-server actually processes the metric. It can be different from actual metric because of aggregation interval. For example:
HSR has a different look for anomaly detector. It includes upper and lower bounds:
P.S. It is our anniversary release :)
Changelog
Hastic Server
Added
Fixed
- Thresholds error: from is NaN #621
- Anomaly detector: Need at least 1 labeled segment #667
- Queue or drop learning task on new learning task #664
- Anomaly detector: wrong seasonality offset #671
- Not ending learning for anomaly detector #665
Changed
- Detect thresholds on the whole dataset instead of 1 value #505
- Start learning after analytic unit update #647
- Set ready status for span only after inserting segments #648
- Remove old detected segments and detection spans when learning starts #650
- Merge threshold segments #624
- Remove old detected segments and detection spans when learning starts #650
- Anomaly detector: send confidence bounds instead of smoothed data #656
Hastic Grafana App
Added
- HSR: Hastic signal representation #258
- HSR in Inspect mode #279
- UI for anomaly detector configuration #270
- Labeling for anomalies #281
- HSR for anomaly analytic unit #302
- Save and cancel buttons for analytic units #310
Fixed
- Thresholds error: from is NaN #277
- Broken Detect button in Threshold / Anomaly analytic units #283
- Color picker is broken #275
- Confusing Save / Label / Apply / Detect buttons #280
- HSR is not updated when anomaly analytic unit options are changed #292
- Seasonality checkbox is disabled on clearing seasonality period input #304
- Missing detections on a bigger zoom #269