PAPIs Latam 2019

Forecasting cloud resources consumption is one of the main challenges faced by IT operations teams in capacity planning tasks. Those teams often should make predictions for periods with no corresponding previous data whose cloud transactions activity changes, for instance, on a holiday. In this talk, it is discussed an approach which is able to model this future behavior with synthesized data. The procedure uses small samples to synthesize data to fit a time series forecasting model which applies interpretable parameters to be adjusted by domain knowledge analysts.