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Tuesday, September 17 • 2:00pm - 2:30pm
Picking up Speed: Logging & Stream Processing LIMITED

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Limited Capacity seats available

Logging and Data analysis are intrisincally 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 will discuss data processing patterns and how this new approach of Stream Processing on the Edge can be used for faster data availability and smaller feedback loops in distributed environments. The result? Systems that can evolve faster and data science teams are empowered to accurately understand what is happening inside their systems.

avatar for Eduardo Silva

Eduardo Silva

Principal Engineer, ARM/ Treasure Data
Eduardo is a Principal Engineer at ARM / Treasure Data. He currently leads the efforts to make logging and data processing more friendly and scalable in Embedded and Containerized systems such as Kubernetes. Maintainer of Fluent Bit, a Fluentd open source sub-project.

Tuesday September 17, 2019 2:00pm - 2:30pm EDT
Main Hall - Wythe 80 Wythe Ave, Brooklyn, NY 11249, USA