Logging and Data analysis are intrinsically tied. From an operational perspective, backend storage must be aligned in order to centralize the data. Traditional data analysis is not fast enough for modern needs. Pushing logs to aggregators for processing is time-consuming and slows the feedback loop. There are plenty of opportunities to improve data analysis time while the data is still in motion. In this presentation, Eduardo discusses data processing patterns and how this new approach of Stream …