Session Details

Session Details2019-01-07T06:21:08+00:00

Event processing without breaking production

Presented by: Nathan Zender

Transactional systems are built with the primary focus of processing many concurrent events, only keeping the current state of data. What if I told you there was a way to capture all the events that led to that current state? Capturing all events would allow for deeper analytics/machine learning, debugging, auditing, and more all without affecting your production systems. In this talk we will explore the architecture, tools and patterns used to do just that. Before leaving this talk you will also learn about the stumbling blocks we ran into while implementing this against a temperamental legacy application.

Room: Tags: Big Data, OtherLevel: Introductory and overview