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Robust Stream Processing with Apache Flink

With: Jamie Grier Director of Applications Engineering, data Artisans In this hands on talk and demonstration I'll give a very short introduction to stream processing and then dive into writing code and demonstrating the features in Apache Flink that make truly robust stream processing possible. We'll focus on correctness and robustness in stream processing. During this live demo we'll be developing a realtime analytics application and modifying it on the fly based on the topics we're working though. We'll exercise Flink's unique features, demonstrate fault-recovery, clearly explain and demonstrate why Event Time is such an important concept in robust stateful stream processing and talk about and demonstrate the features you need in a stream processor to do robust stateful stream processing in production. We'll also use a realtime analytics dashboard to visualize the results we're computing in realtime. This will allow us to easily see the effects of the code we're developing as we go along. Some of the topics covered will be: Apache Flink Stateful Stream Processing Event Time vs. Processing Time Fault tolerance State management in the face of faults Savepoints Data re-processing Find session details and slides: https://reactivesummit2016.sched.org/... Learn more about the Reactive Summit at https://www.reactivesummit.org and follow us on Twitter @reactivesummit