Monitoring with Graphite: Tracking Dynamic Host and Application Metrics at Scale by Jason Dixon

Author:Jason Dixon [Dixon, Jason]
Language: eng
Format: azw3, pdf
Publisher: O'Reilly Media
Published: 2017-03-13T04:00:00+00:00

Figure 6-14. Lost resolution caused by an anomaly

Using removeAboveValue(), we can avoid the spike, leaving behind a more useful series that our users can interpret and diagnose effectively. Each offending datapoint is replaced with a null (None) value that can be ignored, interpolated with lineMode=connected, or even replaced again using transformNull() (Figure 6-15).

Warning

Because Graphite’s datapoint-filtering functions have the potential to disguise anomalies, I caution users from depending on them too heavily. At the very least, set your thresholds excessively high so as not to hide legitimately bad behavior.

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