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• #Graphite timeslice example series

Performs a Holt-Winters forecast using the series as input data.

holtWintersForecast ( seriesList, bootstrapInterval='7d', seasonality='1d' ) ¶ Upper and lower bands with the predicted forecast deviations. Performs a Holt-Winters forecast using the series as input data and plots holtWintersConfidenceBands ( seriesList, delta=3, bootstrapInterval='7d', seasonality='1d' ) ¶ holtWintersConfidenceArea ( seriesList, delta=3, bootstrapInterval='7d', seasonality='1d' ) ¶Īrea between the upper and lower bands of the predicted forecast deviations. Positive or negative deviation of the series data from the forecast. Performs a Holt-Winters forecast using the series as input data and plots the holtWintersAberration ( seriesList, delta=3, bootstrapInterval='7d', seasonality='1d' ) ¶ Or coarse-grained records) and handles rarely-occurring events

(so that a similar graph results from using either fine-grained This function is like summarize(),Įxcept that it compensates automatically for different time scales It calculates hits per some larger interval This function assumes the values in each time series represent hitcount ( seriesList, intervalString, alignToInterval=False ) ¶Įstimate hit counts from a list of time series. This is an alias for highest with aggregation max. &target=highestMax(server*.instance*.threads.busy,5)ĭraws the top 5 servers who have had the most busy threads during the time If desired these series can be filtered out by piping the result through Names like asPercent(someSeries,MISSING) or asPercent(MISSING,someTotalSeries) and all When using nodes, any series or totals that can’t be matched will create output series with &target=asPercent(Server*.cpu.*.jiffies, None, 0) # cpu stats for each server as a percentage of its total &target=asPercent(Server01.cpu.*.jiffies) # Server01 cpu stats as a percentage of its total &target=sumSeries(-, Server*.connections.attempted, 0)