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Overview for Flink Forward Berlin 2018

How to keep our flock happy with Apache Flink on AWS

This is a detailed talk about Rovio's analytics pipeline and its use cases. Learn a brief history lesson on how a purely batch based system has evolved into hybrid streaming and batch system, and share how Rovio operate their production pipeline in AWS.


Threading Needles in a Haystack: Sessionizing the Uber firehose in realtime

In this discussion learn about Uber's evolution of the Rider Session state machineand challenges involved in managing realtime stateful streaming pipeline across half a dozen event streams and millions of riders who use Uber every day. Covered also are the various aspects of the running the job in production such as managing state checkpointing, monitoring, experiences moving the job from Spark Streaming to Flink and ensuring low latency to downstream systems.


Our successful journey with Flink

Trackunit has based their telematic IoT processing pipeline on Flink. Learn how they went from one giant Flink job to many smalls and some of the problems they have seen operating Flink on AWS EMR cluster. 


Data lossless event time streaming processing for revenue calculation

Learn how Criteo runs Flink on one of the biggest Yarn clusters in Europe and computes 100k messages per second to acknowledge revenue of their platform within the delay of 5 minutes. Real-time revenue monitoring system calculates data under 1% of discrepancies and minimizes business impact in case of revenue anomalies.


Assisting millions of active users in real-time

This discussion is about how Kcell - the leading telco in Kazakhstan leverages the current best of breed open-source projects including Apache Flink, Apache Nifi and Apache Kafka, and the problems they needed to solve.